['Const', <tf.Operation 'Const' type=Const>,
     {'outputs': [<tf.Tensor 'Const:0' shape=() dtype=float32>]},
     {'value': 0.5}]
['Const', <tf.Operation 'module_apply_default/global_step/Initializer/zeros' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/global_step/Initializer/zeros:0' shape=() dtype=int64>]},
     {'value': 0}]
['Placeholder', <tf.Operation 'module_apply_default/global_step' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/global_step:0' shape=() dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/global_step/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/global_step:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/global_step/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/global_step/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/global_step:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/global_step/Initializer/zeros:0' shape=() dtype=int64>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/global_step/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/global_step:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/global_step/Read/ReadVariableOp:0' shape=() dtype=int64>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/GreaterEqual/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/global_step:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/GreaterEqual/ReadVariableOp:0' shape=() dtype=int64>]}]
['Const', <tf.Operation 'module_apply_default/GreaterEqual/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/GreaterEqual/y:0' shape=() dtype=int64>]},
     {'value': 20000}]
['GreaterEqual', <tf.Operation 'module_apply_default/GreaterEqual' type=GreaterEqual>,
     <tf.Tensor 'module_apply_default/GreaterEqual/ReadVariableOp:0' shape=() dtype=int64>,
     <tf.Tensor 'module_apply_default/GreaterEqual/y:0' shape=() dtype=int64>,
     {'outputs': [<tf.Tensor 'module_apply_default/GreaterEqual:0' shape=() dtype=bool>]}]
['Cast', <tf.Operation 'module_apply_default/Cast' type=Cast>,
     <tf.Tensor 'module_apply_default/GreaterEqual:0' shape=() dtype=bool>,
     {'outputs': [<tf.Tensor 'module_apply_default/Cast:0' shape=() dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/mul/x' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/mul/x:0' shape=() dtype=float32>]},
     {'value': 0.9998999834060669}]
['Mul', <tf.Operation 'module_apply_default/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/mul/x:0' shape=() dtype=float32>,
     <tf.Tensor 'module_apply_default/Cast:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/mul:0' shape=() dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/random_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/random_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 128], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/random_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/random_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/random_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/random_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RandomStandardNormal', <tf.Operation 'module_apply_default/random_normal/RandomStandardNormal' type=RandomStandardNormal>,
     <tf.Tensor 'module_apply_default/random_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/random_normal/RandomStandardNormal:0' shape=(1, 128) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/random_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/random_normal/RandomStandardNormal:0' shape=(1, 128) dtype=float32>,
     <tf.Tensor 'module_apply_default/random_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/random_normal/mul:0' shape=(1, 128) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/random_normal' type=Add>,
     <tf.Tensor 'module_apply_default/random_normal/mul:0' shape=(1, 128) dtype=float32>,
     <tf.Tensor 'module_apply_default/random_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/random_normal:0' shape=(1, 128) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/random_uniform/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/random_uniform/shape:0' shape=(1,) dtype=int32>]},
     {'value': 1}]
['Const', <tf.Operation 'module_apply_default/random_uniform/min' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/random_uniform/min:0' shape=() dtype=int32>]},
     {'value': 0}]
['Const', <tf.Operation 'module_apply_default/random_uniform/max' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/random_uniform/max:0' shape=() dtype=int32>]},
     {'value': 1000}]
['RandomUniformInt', <tf.Operation 'module_apply_default/random_uniform' type=RandomUniformInt>,
     <tf.Tensor 'module_apply_default/random_uniform/shape:0' shape=(1,) dtype=int32>,
     <tf.Tensor 'module_apply_default/random_uniform/min:0' shape=() dtype=int32>,
     <tf.Tensor 'module_apply_default/random_uniform/max:0' shape=() dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/random_uniform:0' shape=(1,) dtype=int32>]}]
['Const', <tf.Operation 'module_apply_default/one_hot/on_value' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/one_hot/on_value:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Const', <tf.Operation 'module_apply_default/one_hot/off_value' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/one_hot/off_value:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/one_hot/depth' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/one_hot/depth:0' shape=() dtype=int32>]},
     {'value': 1000}]
['OneHot', <tf.Operation 'module_apply_default/one_hot' type=OneHot>,
     <tf.Tensor 'module_apply_default/random_uniform:0' shape=(1,) dtype=int32>,
     <tf.Tensor 'module_apply_default/one_hot/depth:0' shape=() dtype=int32>,
     <tf.Tensor 'module_apply_default/one_hot/on_value:0' shape=() dtype=float32>,
     <tf.Tensor 'module_apply_default/one_hot/off_value:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/one_hot:0' shape=(1, 1000) dtype=float32>]}]
['NoOp', <tf.Operation 'module_apply_default/group_deps' type=NoOp>,
     {'outputs': []}]
['Const', <tf.Operation 'module_apply_default/collect/body/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Const:0' shape=() dtype=int32>]},
     {'value': 0}]
['Const', <tf.Operation 'module_apply_default/collect/body/random_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/random_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 128], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/collect/body/random_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/random_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/collect/body/random_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/random_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RandomStandardNormal', <tf.Operation 'module_apply_default/collect/body/random_normal/RandomStandardNormal' type=RandomStandardNormal>,
     <tf.Tensor 'module_apply_default/collect/body/random_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/random_normal/RandomStandardNormal:0' shape=(1, 128) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/random_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/random_normal/RandomStandardNormal:0' shape=(1, 128) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/random_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/random_normal/mul:0' shape=(1, 128) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/random_normal' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/random_normal/mul:0' shape=(1, 128) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/random_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/random_normal:0' shape=(1, 128) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/random_uniform/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/random_uniform/shape:0' shape=(1,) dtype=int32>]},
     {'value': 1}]
['Const', <tf.Operation 'module_apply_default/collect/body/random_uniform/min' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/random_uniform/min:0' shape=() dtype=int32>]},
     {'value': 0}]
['Const', <tf.Operation 'module_apply_default/collect/body/random_uniform/max' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/random_uniform/max:0' shape=() dtype=int32>]},
     {'value': 1000}]
['RandomUniformInt', <tf.Operation 'module_apply_default/collect/body/random_uniform' type=RandomUniformInt>,
     <tf.Tensor 'module_apply_default/collect/body/random_uniform/shape:0' shape=(1,) dtype=int32>,
     <tf.Tensor 'module_apply_default/collect/body/random_uniform/min:0' shape=() dtype=int32>,
     <tf.Tensor 'module_apply_default/collect/body/random_uniform/max:0' shape=() dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/random_uniform:0' shape=(1,) dtype=int32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/one_hot/on_value' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/one_hot/on_value:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Const', <tf.Operation 'module_apply_default/collect/body/one_hot/off_value' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/one_hot/off_value:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/collect/body/one_hot/depth' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/one_hot/depth:0' shape=() dtype=int32>]},
     {'value': 1000}]
['OneHot', <tf.Operation 'module_apply_default/collect/body/one_hot' type=OneHot>,
     <tf.Tensor 'module_apply_default/collect/body/random_uniform:0' shape=(1,) dtype=int32>,
     <tf.Tensor 'module_apply_default/collect/body/one_hot/depth:0' shape=() dtype=int32>,
     <tf.Tensor 'module_apply_default/collect/body/one_hot/on_value:0' shape=() dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/one_hot/off_value:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/one_hot:0' shape=(1, 1000) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/linear/w/Initializer/random_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/linear/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([1000,  128], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/linear/w/Initializer/random_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/linear/w/Initializer/random_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/linear/w/Initializer/random_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/linear/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RandomStandardNormal', <tf.Operation 'module_apply_default/linear/w/Initializer/random_normal/RandomStandardNormal' type=RandomStandardNormal>,
     <tf.Tensor 'module_apply_default/linear/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/linear/w/Initializer/random_normal/RandomStandardNormal:0' shape=(1000, 128) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/linear/w/Initializer/random_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/linear/w/Initializer/random_normal/RandomStandardNormal:0' shape=(1000, 128) dtype=float32>,
     <tf.Tensor 'module_apply_default/linear/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/linear/w/Initializer/random_normal/mul:0' shape=(1000, 128) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/linear/w/Initializer/random_normal' type=Add>,
     <tf.Tensor 'module_apply_default/linear/w/Initializer/random_normal/mul:0' shape=(1000, 128) dtype=float32>,
     <tf.Tensor 'module_apply_default/linear/w/Initializer/random_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/linear/w/Initializer/random_normal:0' shape=(1000, 128) dtype=float32>]}]
['Qr', <tf.Operation 'module_apply_default/linear/w/Initializer/Qr' type=Qr>,
     <tf.Tensor 'module_apply_default/linear/w/Initializer/random_normal:0' shape=(1000, 128) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/linear/w/Initializer/Qr:0' shape=(1000, 128) dtype=float32>,
                  <tf.Tensor 'module_apply_default/linear/w/Initializer/Qr:1' shape=(128, 128) dtype=float32>]}]
['DiagPart', <tf.Operation 'module_apply_default/linear/w/Initializer/DiagPart' type=DiagPart>,
     <tf.Tensor 'module_apply_default/linear/w/Initializer/Qr:1' shape=(128, 128) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/linear/w/Initializer/DiagPart:0' shape=(128,) dtype=float32>]}]
['Sign', <tf.Operation 'module_apply_default/linear/w/Initializer/Sign' type=Sign>,
     <tf.Tensor 'module_apply_default/linear/w/Initializer/DiagPart:0' shape=(128,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/linear/w/Initializer/Sign:0' shape=(128,) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/linear/w/Initializer/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/linear/w/Initializer/Qr:0' shape=(1000, 128) dtype=float32>,
     <tf.Tensor 'module_apply_default/linear/w/Initializer/Sign:0' shape=(128,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/linear/w/Initializer/mul:0' shape=(1000, 128) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/linear/w/Initializer/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/linear/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([1000,  128], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/linear/w/Initializer/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/linear/w/Initializer/mul:0' shape=(1000, 128) dtype=float32>,
     <tf.Tensor 'module_apply_default/linear/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/linear/w/Initializer/Reshape:0' shape=(1000, 128) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/linear/w/Initializer/mul_1/x' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/linear/w/Initializer/mul_1/x:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Mul', <tf.Operation 'module_apply_default/linear/w/Initializer/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/linear/w/Initializer/mul_1/x:0' shape=() dtype=float32>,
     <tf.Tensor 'module_apply_default/linear/w/Initializer/Reshape:0' shape=(1000, 128) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/linear/w/Initializer/mul_1:0' shape=(1000, 128) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/linear/w' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/linear/w:0' shape=(1000, 128) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/linear/w/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/linear/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/linear/w/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/linear/w/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/linear/w:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/linear/w/Initializer/mul_1:0' shape=(1000, 128) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/linear/w/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/linear/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/linear/w/Read/ReadVariableOp:0' shape=(1000, 128) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/linear/MatMul/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/linear/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/linear/MatMul/ReadVariableOp:0' shape=(1000, 128) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/linear/MatMul' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/one_hot:0' shape=(1, 1000) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/linear/MatMul/ReadVariableOp:0' shape=(1000, 128) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/linear/MatMul:0' shape=(1, 128) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/concat/axis' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/concat/axis:0' shape=() dtype=int32>]},
     {'value': 1}]
['ConcatV2', <tf.Operation 'module_apply_default/collect/body/Generator/concat' type=ConcatV2>,
     <tf.Tensor 'module_apply_default/collect/body/random_normal:0' shape=(1, 128) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/linear/MatMul:0' shape=(1, 128) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/concat/axis:0' shape=() dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/concat:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/random_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([32768,   256], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/random_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/random_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/random_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RandomStandardNormal', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/random_normal/RandomStandardNormal' type=RandomStandardNormal>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/random_normal/RandomStandardNormal:0' shape=(32768, 256) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/random_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/random_normal/RandomStandardNormal:0' shape=(32768, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/random_normal/mul:0' shape=(32768, 256) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/random_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/random_normal/mul:0' shape=(32768, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/random_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/random_normal:0' shape=(32768, 256) dtype=float32>]}]
['Qr', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/Qr' type=Qr>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/random_normal:0' shape=(32768, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/Qr:0' shape=(32768, 256) dtype=float32>,
                  <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/Qr:1' shape=(256, 256) dtype=float32>]}]
['DiagPart', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/DiagPart' type=DiagPart>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/Qr:1' shape=(256, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/DiagPart:0' shape=(256,) dtype=float32>]}]
['Sign', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/Sign' type=Sign>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/DiagPart:0' shape=(256,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/Sign:0' shape=(256,) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/Qr:0' shape=(32768, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/Sign:0' shape=(256,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/mul:0' shape=(32768, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/matrix_transpose/transpose/perm' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>]},
     {'value': array([1, 0], dtype=int32)}]
['Transpose', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/matrix_transpose/transpose' type=Transpose>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/mul:0' shape=(32768, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/matrix_transpose/transpose:0' shape=(256, 32768) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  256, 32768], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/matrix_transpose/transpose:0' shape=(256, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/Reshape:0' shape=(256, 32768) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/mul_1/x' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/mul_1/x:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Mul', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/mul_1/x:0' shape=() dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/Reshape:0' shape=(256, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/mul_1:0' shape=(256, 32768) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/w' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w:0' shape=(256, 32768) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/w/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/w/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/w:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Initializer/mul_1:0' shape=(256, 32768) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/w/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/w/Read/ReadVariableOp:0' shape=(256, 32768) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape/ReadVariableOp:0' shape=(256, 32768) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([   -1, 32768], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape/ReadVariableOp:0' shape=(256, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape:0' shape=(256, 32768) dtype=float32>]}]




### INIT NORM ###
['Const', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u0/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([    1, 32768], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u0/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u0/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u0/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 32768) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u0/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u0/Initializer/truncated_normal/mul:0' shape=(1, 32768) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u0/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u0/Initializer/truncated_normal/mul:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u0/Initializer/truncated_normal:0' shape=(1, 32768) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u0' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u0:0' shape=(1, 32768) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u0/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u0/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u0/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u0/Initializer/truncated_normal:0' shape=(1, 32768) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u0/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u0/Read/ReadVariableOp:0' shape=(1, 32768) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u1/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([    1, 32768], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u1/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u1/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u1/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 32768) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u1/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u1/Initializer/truncated_normal/mul:0' shape=(1, 32768) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u1/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u1/Initializer/truncated_normal/mul:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u1/Initializer/truncated_normal:0' shape=(1, 32768) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u1' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u1:0' shape=(1, 32768) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u1/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u1/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u1/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u1/Initializer/truncated_normal:0' shape=(1, 32768) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u1/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u1/Read/ReadVariableOp:0' shape=(1, 32768) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u2/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([    1, 32768], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u2/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u2/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u2/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 32768) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u2/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u2/Initializer/truncated_normal/mul:0' shape=(1, 32768) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u2/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u2/Initializer/truncated_normal/mul:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u2/Initializer/truncated_normal:0' shape=(1, 32768) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u2' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u2:0' shape=(1, 32768) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u2/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u2/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u2/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u2/Initializer/truncated_normal:0' shape=(1, 32768) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/u2/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/u2/Read/ReadVariableOp:0' shape=(1, 32768) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/ReadVariableOp:0' shape=(1, 32768) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/ReadVariableOp:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape:0' shape=(256, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Square' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Square:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Square:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sum:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/add/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/add' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sum:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Rsqrt' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Rsqrt:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Rsqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_1' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape:0' shape=(256, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_1:0' shape=(1, 32768) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Square_1' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_1:0' shape=(1, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Square_1:0' shape=(1, 32768) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Const_1' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Const_1:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sum_1' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Square_1:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Const_1:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sum_1:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_1/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_1/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_1' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sum_1:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_1/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_1:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Rsqrt_1' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_1:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Rsqrt_1:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_1:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Rsqrt_1:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_1:0' shape=(1, 32768) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/ReadVariableOp_1' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/ReadVariableOp_1:0' shape=(1, 32768) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_2' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/ReadVariableOp_1:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape:0' shape=(256, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_2:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_3' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_2:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_3:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_4' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_2' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_2:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_4:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv:0' shape=(1, 256) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/sub' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/sub:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Square_2' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/sub:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Square_2:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Const_2' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Const_2:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sum_2' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Square_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Const_2:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sum_2:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_2/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_2/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_2' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sum_2:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_2/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_2:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Rsqrt_2' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Rsqrt_2:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_3' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/sub:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Rsqrt_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_3:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_5' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape:0' shape=(256, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_5:0' shape=(1, 32768) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_6' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_1:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_5:0' shape=(1, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_6:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_7' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_1:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_1:0' shape=(1, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_7:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_4' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_6:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_1:0' shape=(1, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_4:0' shape=(1, 32768) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv_1' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_4:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv_1:0' shape=(1, 32768) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/sub_1' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_5:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv_1:0' shape=(1, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/sub_1:0' shape=(1, 32768) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Square_3' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/sub_1:0' shape=(1, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Square_3:0' shape=(1, 32768) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Const_3' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Const_3:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sum_3' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Square_3:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Const_3:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sum_3:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_3/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_3/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_3' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sum_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_3/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_3:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Rsqrt_3' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Rsqrt_3:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_5' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/sub_1:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Rsqrt_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_5:0' shape=(1, 32768) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/ReadVariableOp_2' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/ReadVariableOp_2:0' shape=(1, 32768) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_8' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/ReadVariableOp_2:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape:0' shape=(256, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_8:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_9' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_8:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_9:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_10' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_10:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_6' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_9:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_6:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv_2' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_6:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_10:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv_2:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_11' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_8:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_11:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_12' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_12:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_7' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_11:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_7:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv_3' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_7:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_12:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv_3:0' shape=(1, 256) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_4' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_4:0' shape=(1, 256) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/sub_2' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_4:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/sub_2:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Square_4' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/sub_2:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Square_4:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Const_4' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Const_4:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sum_4' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Square_4:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Const_4:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sum_4:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_5/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_5/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_5' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sum_4:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_5/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_5:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Rsqrt_4' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Rsqrt_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_8' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/sub_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Rsqrt_4:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_8:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_13' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape:0' shape=(256, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_13:0' shape=(1, 32768) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_14' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_1:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_13:0' shape=(1, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_14:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_15' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_1:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_1:0' shape=(1, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_15:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_9' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_14:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_1:0' shape=(1, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_9:0' shape=(1, 32768) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv_4' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_9:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_15:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv_4:0' shape=(1, 32768) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_16' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_5:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_13:0' shape=(1, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_16:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_17' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_5:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_5:0' shape=(1, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_17:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_10' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_16:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_5:0' shape=(1, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_10:0' shape=(1, 32768) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv_5' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_10:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_17:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv_5:0' shape=(1, 32768) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_6' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv_4:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv_5:0' shape=(1, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_6:0' shape=(1, 32768) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/sub_3' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_13:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_6:0' shape=(1, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/sub_3:0' shape=(1, 32768) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Square_5' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/sub_3:0' shape=(1, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Square_5:0' shape=(1, 32768) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Const_5' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Const_5:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sum_5' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Square_5:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Const_5:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sum_5:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_7/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_7/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_7' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sum_5:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_7/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_7:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Rsqrt_5' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Rsqrt_5:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_11' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/sub_3:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Rsqrt_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_11:0' shape=(1, 32768) dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/StopGradient' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_1:0' shape=(1, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/StopGradient:0' shape=(1, 32768) dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/StopGradient_1' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/StopGradient_1:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_18' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/StopGradient_1:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape:0' shape=(256, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_18:0' shape=(1, 32768) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_19' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_18:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/StopGradient:0' shape=(1, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_19:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_19:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Squeeze:0' shape=() dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_20' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape:0' shape=(256, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_20:0' shape=(1, 32768) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_21' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_20:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_5:0' shape=(1, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_21:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Squeeze_1' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_21:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Squeeze_1:0' shape=() dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_22' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape:0' shape=(256, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_22:0' shape=(1, 32768) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_23' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_22:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_11:0' shape=(1, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_23:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Squeeze_2' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_23:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Squeeze_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape:0' shape=(256, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape:0' shape=(256, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm/mul:0' shape=(256, 32768) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm/mul:0' shape=(256, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm/Squeeze:0' shape=() dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sqrt:0' shape=() dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/StopGradient_2' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Sqrt:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/StopGradient_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm_1/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape:0' shape=(256, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape:0' shape=(256, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm_1/mul:0' shape=(256, 32768) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm_1/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm_1/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm_1/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm_1/mul:0' shape=(256, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm_1/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm_1/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm_1/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm_1/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm_1/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/norm_1/Squeeze:0' shape=() dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv_6' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape:0' shape=(256, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv_6:0' shape=(256, 32768) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/AssignVariableOp' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/StopGradient:0' shape=(1, 32768) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/ReadVariableOp_3' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/ReadVariableOp_3:0' shape=(1, 32768) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/AssignVariableOp_1' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_5:0' shape=(1, 32768) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/ReadVariableOp_4' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/ReadVariableOp_4:0' shape=(1, 32768) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/AssignVariableOp_2' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/mul_11:0' shape=(1, 32768) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/ReadVariableOp_5' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/ReadVariableOp_5:0' shape=(1, 32768) dtype=float32>]}]
### UPDATED NORM ###



['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape_1/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape_1/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  256, 32768], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape_1' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/truediv_6:0' shape=(256, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape_1/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape_1:0' shape=(256, 32768) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_24' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/concat:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/Reshape_1:0' shape=(256, 32768) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_24:0' shape=(1, 32768) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/b/Initializer/zeros/shape_as_tensor' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/b/Initializer/zeros/shape_as_tensor:0' shape=(1,) dtype=int32>]},
     {'value': 32768}]
['Const', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/b/Initializer/zeros/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/b/Initializer/zeros/Const:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Fill', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/b/Initializer/zeros' type=Fill>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/b/Initializer/zeros/shape_as_tensor:0' shape=(1,) dtype=int32>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/b/Initializer/zeros/Const:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/b/Initializer/zeros:0' shape=(32768,) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/b' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/b:0' shape=(32768,) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/b/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/b:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/b/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/b/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/b:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/b/Initializer/zeros:0' shape=(32768,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GenZ/G_linear/b/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/b:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GenZ/G_linear/b/Read/ReadVariableOp:0' shape=(32768,) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_8/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GenZ/G_linear/b:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_8/ReadVariableOp:0' shape=(32768,) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_8' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/MatMul_24:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_8/ReadVariableOp:0' shape=(32768,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_8:0' shape=(1, 32768) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/Reshape/shape:0' shape=(4,) dtype=int32>]},
     {'value': array([  -1,    4,    4, 2048], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GenZ/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/G_linear/add_8:0' shape=(1, 32768) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/Reshape/shape:0' shape=(4,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/Reshape:0' shape=(1, 4, 4, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Mean/reduction_indices' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Mean/reduction_indices:0' shape=(3,) dtype=int32>]},
     {'value': array([0, 1, 2], dtype=int32)}]
['Mean', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Mean' type=Mean>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/Reshape:0' shape=(1, 4, 4, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Mean/reduction_indices:0' shape=(3,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Mean:0' shape=(2048,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/truediv/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/truediv/y:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/truediv' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Mean:0' shape=(2048,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/truediv/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/truediv:0' shape=(2048,) dtype=float32>]}]
['IdentityN', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/IdentityN' type=IdentityN>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/truediv:0' shape=(2048,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/truediv:0' shape=(2048,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/IdentityN:0' shape=(2048,) dtype=float32>,
                  <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/IdentityN:1' shape=(2048,) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Square' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/Reshape:0' shape=(1, 4, 4, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Square:0' shape=(1, 4, 4, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Mean_1/reduction_indices' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Mean_1/reduction_indices:0' shape=(3,) dtype=int32>]},
     {'value': array([0, 1, 2], dtype=int32)}]
['Mean', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Mean_1' type=Mean>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Square:0' shape=(1, 4, 4, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Mean_1/reduction_indices:0' shape=(3,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Mean_1:0' shape=(2048,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/truediv_1/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/truediv_1/y:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/truediv_1' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Mean_1:0' shape=(2048,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/truediv_1/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/truediv_1:0' shape=(2048,) dtype=float32>]}]
['IdentityN', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/IdentityN_1' type=IdentityN>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/truediv_1:0' shape=(2048,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/truediv_1:0' shape=(2048,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/IdentityN_1:0' shape=(2048,) dtype=float32>,
                  <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/IdentityN_1:1' shape=(2048,) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Square_1' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/IdentityN:0' shape=(2048,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Square_1:0' shape=(2048,) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/sub' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/IdentityN_1:0' shape=(2048,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Square_1:0' shape=(2048,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/sub:0' shape=(2048,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/random_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([2048,  256], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/random_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/random_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/random_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RandomStandardNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/random_normal/RandomStandardNormal' type=RandomStandardNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/random_normal/RandomStandardNormal:0' shape=(2048, 256) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/random_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/random_normal/RandomStandardNormal:0' shape=(2048, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/random_normal/mul:0' shape=(2048, 256) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/random_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/random_normal/mul:0' shape=(2048, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/random_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/random_normal:0' shape=(2048, 256) dtype=float32>]}]
['Qr', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/Qr' type=Qr>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/random_normal:0' shape=(2048, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/Qr:0' shape=(2048, 256) dtype=float32>,
                  <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/Qr:1' shape=(256, 256) dtype=float32>]}]
['DiagPart', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/DiagPart' type=DiagPart>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/Qr:1' shape=(256, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/DiagPart:0' shape=(256,) dtype=float32>]}]
['Sign', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/Sign' type=Sign>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/DiagPart:0' shape=(256,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/Sign:0' shape=(256,) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/Qr:0' shape=(2048, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/Sign:0' shape=(256,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/mul:0' shape=(2048, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/matrix_transpose/transpose/perm' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>]},
     {'value': array([1, 0], dtype=int32)}]
['Transpose', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/matrix_transpose/transpose' type=Transpose>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/mul:0' shape=(2048, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/matrix_transpose/transpose:0' shape=(256, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([ 256, 2048], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/matrix_transpose/transpose:0' shape=(256, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/Reshape:0' shape=(256, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/mul_1/x' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/mul_1/x:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/mul_1/x:0' shape=() dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/mul_1:0' shape=(256, 2048) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/w' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w:0' shape=(256, 2048) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/w:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Initializer/mul_1:0' shape=(256, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/w/Read/ReadVariableOp:0' shape=(256, 2048) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape/ReadVariableOp:0' shape=(256, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  -1, 2048], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape/ReadVariableOp:0' shape=(256, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape:0' shape=(256, 2048) dtype=float32>]}]




### INIT NORM ###
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([   1, 2048], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 2048) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Initializer/truncated_normal/mul:0' shape=(1, 2048) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Initializer/truncated_normal/mul:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Initializer/truncated_normal:0' shape=(1, 2048) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0:0' shape=(1, 2048) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Initializer/truncated_normal:0' shape=(1, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u0/Read/ReadVariableOp:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([   1, 2048], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 2048) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Initializer/truncated_normal/mul:0' shape=(1, 2048) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Initializer/truncated_normal/mul:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Initializer/truncated_normal:0' shape=(1, 2048) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1:0' shape=(1, 2048) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Initializer/truncated_normal:0' shape=(1, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u1/Read/ReadVariableOp:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([   1, 2048], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 2048) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Initializer/truncated_normal/mul:0' shape=(1, 2048) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Initializer/truncated_normal/mul:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Initializer/truncated_normal:0' shape=(1, 2048) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2:0' shape=(1, 2048) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Initializer/truncated_normal:0' shape=(1, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/scale/u2/Read/ReadVariableOp:0' shape=(1, 2048) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/ReadVariableOp:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/ReadVariableOp:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Square' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Square:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Square:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sum:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sum:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Rsqrt' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Rsqrt:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Rsqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_1' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_1:0' shape=(1, 2048) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Square_1' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Square_1:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Const_1' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Const_1:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sum_1' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Square_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Const_1:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sum_1:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_1/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_1/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_1' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sum_1:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_1/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_1:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Rsqrt_1' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_1:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Rsqrt_1:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Rsqrt_1:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_1:0' shape=(1, 2048) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/ReadVariableOp_1' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/ReadVariableOp_1:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_2' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/ReadVariableOp_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_2:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_3' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_2:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_3:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_4' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_2' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_2:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_4:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv:0' shape=(1, 256) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/sub' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/sub:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Square_2' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/sub:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Square_2:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Const_2' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Const_2:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sum_2' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Square_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Const_2:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sum_2:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_2/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_2/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_2' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sum_2:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_2/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_2:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Rsqrt_2' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Rsqrt_2:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_3' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/sub:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Rsqrt_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_3:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_5' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_5:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_6' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_5:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_6:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_7' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_7:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_4' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_6:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_4:0' shape=(1, 2048) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv_1' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_4:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv_1:0' shape=(1, 2048) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/sub_1' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_5:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/sub_1:0' shape=(1, 2048) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Square_3' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/sub_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Square_3:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Const_3' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Const_3:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sum_3' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Square_3:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Const_3:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sum_3:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_3/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_3/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_3' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sum_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_3/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_3:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Rsqrt_3' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Rsqrt_3:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_5' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/sub_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Rsqrt_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_5:0' shape=(1, 2048) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/ReadVariableOp_2' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/ReadVariableOp_2:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_8' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/ReadVariableOp_2:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_8:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_9' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_8:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_9:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_10' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_10:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_6' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_9:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_6:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv_2' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_6:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_10:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv_2:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_11' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_8:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_11:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_12' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_12:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_7' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_11:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_7:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv_3' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_7:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_12:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv_3:0' shape=(1, 256) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_4' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_4:0' shape=(1, 256) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/sub_2' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_4:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/sub_2:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Square_4' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/sub_2:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Square_4:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Const_4' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Const_4:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sum_4' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Square_4:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Const_4:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sum_4:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_5/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_5/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_5' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sum_4:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_5/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_5:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Rsqrt_4' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Rsqrt_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_8' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/sub_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Rsqrt_4:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_8:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_13' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_13:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_14' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_13:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_14:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_15' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_15:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_9' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_14:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_9:0' shape=(1, 2048) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv_4' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_9:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_15:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv_4:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_16' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_5:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_13:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_16:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_17' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_5:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_5:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_17:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_10' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_16:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_5:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_10:0' shape=(1, 2048) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv_5' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_10:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_17:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv_5:0' shape=(1, 2048) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_6' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv_4:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv_5:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_6:0' shape=(1, 2048) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/sub_3' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_13:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_6:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/sub_3:0' shape=(1, 2048) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Square_5' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/sub_3:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Square_5:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Const_5' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Const_5:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sum_5' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Square_5:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Const_5:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sum_5:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_7/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_7/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_7' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sum_5:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_7/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_7:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Rsqrt_5' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/add_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Rsqrt_5:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_11' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/sub_3:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Rsqrt_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_11:0' shape=(1, 2048) dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/StopGradient' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/StopGradient:0' shape=(1, 2048) dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/StopGradient_1' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/StopGradient_1:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_18' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/StopGradient_1:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_18:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_19' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_18:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/StopGradient:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_19:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_19:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Squeeze:0' shape=() dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_20' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_20:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_21' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_20:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_5:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_21:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Squeeze_1' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_21:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Squeeze_1:0' shape=() dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_22' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_22:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_23' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_22:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_11:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_23:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Squeeze_2' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_23:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Squeeze_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape:0' shape=(256, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm/mul:0' shape=(256, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm/mul:0' shape=(256, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm/Squeeze:0' shape=() dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sqrt:0' shape=() dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/StopGradient_2' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Sqrt:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/StopGradient_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm_1/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape:0' shape=(256, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm_1/mul:0' shape=(256, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm_1/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm_1/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm_1/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm_1/mul:0' shape=(256, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm_1/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm_1/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm_1/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm_1/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm_1/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/norm_1/Squeeze:0' shape=() dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv_6' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape:0' shape=(256, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv_6:0' shape=(256, 2048) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/AssignVariableOp' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/StopGradient:0' shape=(1, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/ReadVariableOp_3' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/ReadVariableOp_3:0' shape=(1, 2048) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/AssignVariableOp_1' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_5:0' shape=(1, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/ReadVariableOp_4' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/ReadVariableOp_4:0' shape=(1, 2048) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/AssignVariableOp_2' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/mul_11:0' shape=(1, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/ReadVariableOp_5' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/scale/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/ReadVariableOp_5:0' shape=(1, 2048) dtype=float32>]}]
### UPDATED NORM ###



['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape_1/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape_1/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([ 256, 2048], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape_1' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/truediv_6:0' shape=(256, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape_1/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape_1:0' shape=(256, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_24' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/concat:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/Reshape_1:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_24:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/add/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/add/y:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/add' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/scale/MatMul_24:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/add/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/add:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Reshape/shape:0' shape=(4,) dtype=int32>]},
     {'value': array([  -1,    1,    1, 2048], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/add:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Reshape/shape:0' shape=(4,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Reshape:0' shape=(1, 1, 1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/random_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([2048,  256], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/random_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/random_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/random_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RandomStandardNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/random_normal/RandomStandardNormal' type=RandomStandardNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/random_normal/RandomStandardNormal:0' shape=(2048, 256) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/random_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/random_normal/RandomStandardNormal:0' shape=(2048, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/random_normal/mul:0' shape=(2048, 256) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/random_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/random_normal/mul:0' shape=(2048, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/random_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/random_normal:0' shape=(2048, 256) dtype=float32>]}]
['Qr', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/Qr' type=Qr>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/random_normal:0' shape=(2048, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/Qr:0' shape=(2048, 256) dtype=float32>,
                  <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/Qr:1' shape=(256, 256) dtype=float32>]}]
['DiagPart', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/DiagPart' type=DiagPart>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/Qr:1' shape=(256, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/DiagPart:0' shape=(256,) dtype=float32>]}]
['Sign', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/Sign' type=Sign>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/DiagPart:0' shape=(256,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/Sign:0' shape=(256,) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/Qr:0' shape=(2048, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/Sign:0' shape=(256,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/mul:0' shape=(2048, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/matrix_transpose/transpose/perm' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>]},
     {'value': array([1, 0], dtype=int32)}]
['Transpose', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/matrix_transpose/transpose' type=Transpose>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/mul:0' shape=(2048, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/matrix_transpose/transpose:0' shape=(256, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([ 256, 2048], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/matrix_transpose/transpose:0' shape=(256, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/Reshape:0' shape=(256, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/mul_1/x' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/mul_1/x:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/mul_1/x:0' shape=() dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/mul_1:0' shape=(256, 2048) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/w' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w:0' shape=(256, 2048) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/offset/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/offset/w:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Initializer/mul_1:0' shape=(256, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/offset/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/w/Read/ReadVariableOp:0' shape=(256, 2048) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/offset/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape/ReadVariableOp:0' shape=(256, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  -1, 2048], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape/ReadVariableOp:0' shape=(256, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape:0' shape=(256, 2048) dtype=float32>]}]




### INIT NORM ###
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u0/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([   1, 2048], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u0/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u0/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u0/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 2048) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u0/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/u0/Initializer/truncated_normal/mul:0' shape=(1, 2048) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u0/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/u0/Initializer/truncated_normal/mul:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/u0/Initializer/truncated_normal:0' shape=(1, 2048) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u0' type=Placeholder>,
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['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u0/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
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['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u0/Read/ReadVariableOp' type=ReadVariableOp>,
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['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u1/Initializer/truncated_normal/mean' type=Const>,
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['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u1/Initializer/truncated_normal/stddev' type=Const>,
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['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u1/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
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['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u1/Initializer/truncated_normal/mul' type=Mul>,
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     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
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['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u1/Initializer/truncated_normal' type=Add>,
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     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
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['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u1' type=Placeholder>,
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['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u1/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
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['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u1/Assign' type=AssignVariableOp>,
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     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/u1/Initializer/truncated_normal:0' shape=(1, 2048) dtype=float32>,
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['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u1/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/offset/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/u1/Read/ReadVariableOp:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u2/Initializer/truncated_normal/shape' type=Const>,
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['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u2/Initializer/truncated_normal/mean' type=Const>,
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['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u2/Initializer/truncated_normal/stddev' type=Const>,
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['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u2/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
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['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u2/Initializer/truncated_normal/mul' type=Mul>,
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     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
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['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u2/Initializer/truncated_normal' type=Add>,
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     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
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['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u2' type=Placeholder>,
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['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u2/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
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['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u2/Assign' type=AssignVariableOp>,
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     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/offset/u2/Initializer/truncated_normal:0' shape=(1, 2048) dtype=float32>,
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['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/offset/u2/Read/ReadVariableOp' type=ReadVariableOp>,
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['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/ReadVariableOp' type=ReadVariableOp>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul' type=MatMul>,
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['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Square' type=Square>,
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['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Sum' type=Sum>,
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['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add/y' type=Const>,
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['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Rsqrt' type=Rsqrt>,
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['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul' type=Mul>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_1' type=MatMul>,
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['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Square_1' type=Square>,
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['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Const_1' type=Const>,
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['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_1/y' type=Const>,
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['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Rsqrt_1' type=Rsqrt>,
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['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_1' type=Mul>,
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['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/ReadVariableOp_1' type=ReadVariableOp>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_2' type=MatMul>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_3' type=MatMul>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_4' type=MatMul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul:0' shape=(1, 256) dtype=float32>,
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['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_2' type=Mul>,
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['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/truediv' type=RealDiv>,
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['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/sub' type=Sub>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/truediv:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/sub:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Square_2' type=Square>,
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     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Square_2:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Const_2' type=Const>,
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     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Sum_2' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Square_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Const_2:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Sum_2:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_2/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_2/y:0' shape=() dtype=float32>]},
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['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_2' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Sum_2:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_2/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_2:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Rsqrt_2' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Rsqrt_2:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_3' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/sub:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Rsqrt_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_3:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_5' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_5:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_6' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_5:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_6:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_7' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_7:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_4' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_6:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_4:0' shape=(1, 2048) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/truediv_1' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_4:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/truediv_1:0' shape=(1, 2048) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/sub_1' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_5:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/truediv_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/sub_1:0' shape=(1, 2048) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Square_3' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/sub_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Square_3:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Const_3' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Const_3:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Sum_3' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Square_3:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Const_3:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Sum_3:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_3/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_3/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_3' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Sum_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_3/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_3:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Rsqrt_3' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Rsqrt_3:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_5' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/sub_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Rsqrt_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_5:0' shape=(1, 2048) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/ReadVariableOp_2' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/offset/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/ReadVariableOp_2:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_8' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/ReadVariableOp_2:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_8:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_9' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_8:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_9:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_10' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_10:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_6' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_9:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_6:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/truediv_2' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_6:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_10:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/truediv_2:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_11' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_8:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_11:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_12' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_12:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_7' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_11:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_7:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/truediv_3' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_7:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_12:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/truediv_3:0' shape=(1, 256) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_4' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/truediv_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/truediv_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_4:0' shape=(1, 256) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/sub_2' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_4:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/sub_2:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Square_4' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/sub_2:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Square_4:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Const_4' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Const_4:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Sum_4' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Square_4:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Const_4:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Sum_4:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_5/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_5/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_5' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Sum_4:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_5/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_5:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Rsqrt_4' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Rsqrt_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_8' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/sub_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Rsqrt_4:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_8:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_13' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_13:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_14' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_13:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_14:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_15' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_15:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_9' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_14:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_9:0' shape=(1, 2048) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/truediv_4' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_9:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_15:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/truediv_4:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_16' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_5:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_13:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_16:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_17' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_5:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_5:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_17:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_10' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_16:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_5:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_10:0' shape=(1, 2048) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/truediv_5' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_10:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_17:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/truediv_5:0' shape=(1, 2048) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_6' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/truediv_4:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/truediv_5:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_6:0' shape=(1, 2048) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/sub_3' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_13:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_6:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/sub_3:0' shape=(1, 2048) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Square_5' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/sub_3:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Square_5:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Const_5' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Const_5:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Sum_5' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Square_5:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Const_5:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Sum_5:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_7/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_7/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_7' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Sum_5:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_7/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_7:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Rsqrt_5' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/add_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Rsqrt_5:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_11' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/sub_3:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Rsqrt_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_11:0' shape=(1, 2048) dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/StopGradient' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/StopGradient:0' shape=(1, 2048) dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/StopGradient_1' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/StopGradient_1:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_18' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/StopGradient_1:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_18:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_19' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_18:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/StopGradient:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_19:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_19:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Squeeze:0' shape=() dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_20' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_20:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_21' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_20:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_5:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_21:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Squeeze_1' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_21:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Squeeze_1:0' shape=() dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_22' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_22:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_23' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_22:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_11:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_23:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Squeeze_2' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_23:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Squeeze_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape:0' shape=(256, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm/mul:0' shape=(256, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm/mul:0' shape=(256, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm/Squeeze:0' shape=() dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Sqrt:0' shape=() dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/StopGradient_2' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Sqrt:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/StopGradient_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm_1/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape:0' shape=(256, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm_1/mul:0' shape=(256, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm_1/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm_1/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm_1/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm_1/mul:0' shape=(256, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm_1/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm_1/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm_1/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm_1/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm_1/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/norm_1/Squeeze:0' shape=() dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/truediv_6' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape:0' shape=(256, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/truediv_6:0' shape=(256, 2048) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/AssignVariableOp' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/offset/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/StopGradient:0' shape=(1, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/ReadVariableOp_3' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/offset/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/ReadVariableOp_3:0' shape=(1, 2048) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/AssignVariableOp_1' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/offset/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_5:0' shape=(1, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/ReadVariableOp_4' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/offset/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/ReadVariableOp_4:0' shape=(1, 2048) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/AssignVariableOp_2' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/offset/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/mul_11:0' shape=(1, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/ReadVariableOp_5' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/offset/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/ReadVariableOp_5:0' shape=(1, 2048) dtype=float32>]}]
### UPDATED NORM ###



['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape_1/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape_1/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([ 256, 2048], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape_1' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/truediv_6:0' shape=(256, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape_1/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape_1:0' shape=(256, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_24' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/concat:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/Reshape_1:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_24:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Reshape_1/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Reshape_1/shape:0' shape=(4,) dtype=int32>]},
     {'value': array([  -1,    1,    1, 2048], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Reshape_1' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/offset/MatMul_24:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Reshape_1/shape:0' shape=(4,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Reshape_1:0' shape=(1, 1, 1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/add/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/add/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/add' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/sub:0' shape=(2048,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/add/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/add:0' shape=(2048,) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/Rsqrt' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/add:0' shape=(2048,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/Rsqrt:0' shape=(2048,) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/Rsqrt:0' shape=(2048,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Reshape:0' shape=(1, 1, 1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/mul:0' shape=(1, 1, 1, 2048) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/Reshape:0' shape=(1, 4, 4, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/mul:0' shape=(1, 1, 1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/mul_1:0' shape=(1, 4, 4, 2048) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/mul_2' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/IdentityN:0' shape=(2048,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/mul:0' shape=(1, 1, 1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/mul_2:0' shape=(1, 1, 1, 2048) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/sub' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Reshape_1:0' shape=(1, 1, 1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/mul_2:0' shape=(1, 1, 1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/sub:0' shape=(1, 1, 1, 2048) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/add_1' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/mul_1:0' shape=(1, 4, 4, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/sub:0' shape=(1, 1, 1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/add_1:0' shape=(1, 4, 4, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_mean/Initializer/zeros/shape_as_tensor' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_mean/Initializer/zeros/shape_as_tensor:0' shape=(1,) dtype=int32>]},
     {'value': 2048}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_mean/Initializer/zeros/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_mean/Initializer/zeros/Const:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Fill', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_mean/Initializer/zeros' type=Fill>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_mean/Initializer/zeros/shape_as_tensor:0' shape=(1,) dtype=int32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_mean/Initializer/zeros/Const:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_mean/Initializer/zeros:0' shape=(2048,) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_mean' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_mean:0' shape=(2048,) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_mean/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/accumulated_mean:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_mean/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_mean/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/accumulated_mean:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_mean/Initializer/zeros:0' shape=(2048,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_mean/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/accumulated_mean:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_mean/Read/ReadVariableOp:0' shape=(2048,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_var/Initializer/zeros/shape_as_tensor' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_var/Initializer/zeros/shape_as_tensor:0' shape=(1,) dtype=int32>]},
     {'value': 2048}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_var/Initializer/zeros/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_var/Initializer/zeros/Const:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Fill', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_var/Initializer/zeros' type=Fill>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_var/Initializer/zeros/shape_as_tensor:0' shape=(1,) dtype=int32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_var/Initializer/zeros/Const:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_var/Initializer/zeros:0' shape=(2048,) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_var' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_var:0' shape=(2048,) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_var/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/accumulated_var:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_var/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_var/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/accumulated_var:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_var/Initializer/zeros:0' shape=(2048,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_var/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/accumulated_var:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulated_var/Read/ReadVariableOp:0' shape=(2048,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/accumulation_counter/Initializer/zeros' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulation_counter/Initializer/zeros:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/accumulation_counter' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulation_counter:0' shape=() dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/accumulation_counter/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/accumulation_counter:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulation_counter/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/accumulation_counter/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/accumulation_counter:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulation_counter/Initializer/zeros:0' shape=() dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm/accumulation_counter/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/accumulation_counter:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm/accumulation_counter/Read/ReadVariableOp:0' shape=() dtype=float32>]}]
['AssignAddVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/AssignAddVariableOp' type=AssignAddVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/accumulated_mean:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/IdentityN:0' shape=(2048,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/accumulated_mean:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/ReadVariableOp:0' shape=(2048,) dtype=float32>]}]
['AssignAddVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/AssignAddVariableOp_1' type=AssignAddVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/accumulated_var:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/sub:0' shape=(2048,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/ReadVariableOp_1' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/accumulated_var:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/ReadVariableOp_1:0' shape=(2048,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Const:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['AssignAddVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/AssignAddVariableOp_2' type=AssignAddVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/accumulation_counter:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/Const:0' shape=() dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/ReadVariableOp_2' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm/accumulation_counter:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/ReadVariableOp_2:0' shape=() dtype=float32>]}]
['NoOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/group_deps' type=NoOp>,
     {'outputs': []}]
['Relu', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/Relu' type=Relu>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm/batchnorm/add_1:0' shape=(1, 4, 4, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/Relu:0' shape=(1, 4, 4, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/w/Initializer/random_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([2048,  512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/w/Initializer/random_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/random_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/w/Initializer/random_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RandomStandardNormal', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/w/Initializer/random_normal/RandomStandardNormal' type=RandomStandardNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/random_normal/RandomStandardNormal:0' shape=(2048, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/w/Initializer/random_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/random_normal/RandomStandardNormal:0' shape=(2048, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/random_normal/mul:0' shape=(2048, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/w/Initializer/random_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/random_normal/mul:0' shape=(2048, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/random_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/random_normal:0' shape=(2048, 512) dtype=float32>]}]
['Qr', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/w/Initializer/Qr' type=Qr>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/random_normal:0' shape=(2048, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/Qr:0' shape=(2048, 512) dtype=float32>,
                  <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/Qr:1' shape=(512, 512) dtype=float32>]}]
['DiagPart', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/w/Initializer/DiagPart' type=DiagPart>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/Qr:1' shape=(512, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/DiagPart:0' shape=(512,) dtype=float32>]}]
['Sign', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/w/Initializer/Sign' type=Sign>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/DiagPart:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/Sign:0' shape=(512,) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/w/Initializer/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/Qr:0' shape=(2048, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/Sign:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/mul:0' shape=(2048, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/w/Initializer/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/Reshape/shape:0' shape=(4,) dtype=int32>]},
     {'value': array([   1,    1, 2048,  512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/w/Initializer/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/mul:0' shape=(2048, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/Reshape/shape:0' shape=(4,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/Reshape:0' shape=(1, 1, 2048, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/w/Initializer/mul_1/x' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/mul_1/x:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/w/Initializer/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/mul_1/x:0' shape=() dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/Reshape:0' shape=(1, 1, 2048, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/mul_1:0' shape=(1, 1, 2048, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/w' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w:0' shape=(1, 1, 2048, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/w/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/w/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/w:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Initializer/mul_1:0' shape=(1, 1, 2048, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/w/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/w/Read/ReadVariableOp:0' shape=(1, 1, 2048, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape/ReadVariableOp:0' shape=(1, 1, 2048, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([ -1, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape/ReadVariableOp:0' shape=(1, 1, 2048, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape:0' shape=(2048, 512) dtype=float32>]}]




### INIT NORM ###
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u0/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u0/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u0/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u0/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u0/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u0/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u0/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u0/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u0/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u0' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u0:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u0/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u0/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u0/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u0/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u0/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u0/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u1/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u1/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u1/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u1/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u1/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u1/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u1/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u1/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u1/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u1' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u1:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u1/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u1/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u1/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u1/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u1/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u1/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u2/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u2/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u2/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u2/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u2/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u2/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u2/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u2/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u2/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u2' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u2:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u2/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u2/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u2/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u2/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/u2/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/u2/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/ReadVariableOp:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape:0' shape=(2048, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul:0' shape=(1, 2048) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Square' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Square:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Square:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Sum:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/add/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/add' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Sum:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Rsqrt' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Rsqrt:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Rsqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_1' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape:0' shape=(2048, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_1:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Square_1' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Square_1:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Const_1' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Const_1:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Sum_1' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Square_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Const_1:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Sum_1:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/add_1/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add_1/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/add_1' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Sum_1:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add_1/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add_1:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Rsqrt_1' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add_1:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Rsqrt_1:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Rsqrt_1:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_1:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/ReadVariableOp_1' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/ReadVariableOp_1:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_2' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/ReadVariableOp_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape:0' shape=(2048, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_2:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_3' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_2:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_3:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_4' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_2' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_2:0' shape=(1, 2048) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/truediv' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_2:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_4:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/truediv:0' shape=(1, 2048) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/sub' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_2:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/truediv:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/sub:0' shape=(1, 2048) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Square_2' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/sub:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Square_2:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Const_2' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Const_2:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Sum_2' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Square_2:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Const_2:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Sum_2:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/add_2/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add_2/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/add_2' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Sum_2:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add_2/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add_2:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Rsqrt_2' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Rsqrt_2:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_3' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/sub:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Rsqrt_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_3:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_5' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_3:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape:0' shape=(2048, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_5:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_6' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_6:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_7' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_7:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_4' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_6:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_4:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/truediv_1' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_4:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/truediv_1:0' shape=(1, 512) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/sub_1' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/truediv_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/sub_1:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Square_3' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/sub_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Square_3:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Const_3' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Const_3:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Sum_3' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Square_3:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Const_3:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Sum_3:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/add_3/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add_3/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/add_3' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Sum_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add_3/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add_3:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Rsqrt_3' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Rsqrt_3:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_5' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/sub_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Rsqrt_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_5:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/ReadVariableOp_2' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/ReadVariableOp_2:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_8' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/ReadVariableOp_2:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape:0' shape=(2048, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_8:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_9' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_8:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_9:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_10' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_10:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_6' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_9:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_6:0' shape=(1, 2048) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/truediv_2' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_6:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_10:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/truediv_2:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_11' type=MatMul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_8:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_11:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_12' type=MatMul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_3:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_12:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_7' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_11:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_3:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_7:0' shape=(1, 2048) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/truediv_3' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_7:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_12:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/truediv_3:0' shape=(1, 2048) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/add_4' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/truediv_2:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/truediv_3:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add_4:0' shape=(1, 2048) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/sub_2' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_8:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add_4:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/sub_2:0' shape=(1, 2048) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Square_4' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/sub_2:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Square_4:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Const_4' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Const_4:0' shape=(2,) dtype=int32>]},
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['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Sum_4' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Square_4:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Const_4:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Sum_4:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/add_5/y' type=Const>,
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['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/add_5' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Sum_4:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add_5/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add_5:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Rsqrt_4' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Rsqrt_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_8' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/sub_2:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Rsqrt_4:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_8:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_13' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_8:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape:0' shape=(2048, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_13:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_14' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_13:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_14:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_15' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_15:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_9' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_14:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_9:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/truediv_4' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_9:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_15:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/truediv_4:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_16' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_13:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_16:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_17' type=MatMul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_17:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_10' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_16:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_10:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/truediv_5' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_10:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_17:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/truediv_5:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/add_6' type=Add>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/truediv_5:0' shape=(1, 512) dtype=float32>,
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['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/sub_3' type=Sub>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/add_6:0' shape=(1, 512) dtype=float32>,
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['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Square_5' type=Square>,
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['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Const_5' type=Const>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Const_5:0' shape=(2,) dtype=int32>,
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['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/add_7/y' type=Const>,
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['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/add_7' type=Add>,
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['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Rsqrt_5' type=Rsqrt>,
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['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_11' type=Mul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Rsqrt_5:0' shape=(1, 1) dtype=float32>,
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['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/StopGradient' type=StopGradient>,
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     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/StopGradient:0' shape=(1, 512) dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/StopGradient_1' type=StopGradient>,
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     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/StopGradient_1:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_18' type=MatMul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape:0' shape=(2048, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_18:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_19' type=MatMul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/StopGradient:0' shape=(1, 512) dtype=float32>,
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['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Squeeze' type=Squeeze>,
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     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Squeeze:0' shape=() dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_20' type=MatMul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape:0' shape=(2048, 512) dtype=float32>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_21' type=MatMul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_21:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Squeeze_1' type=Squeeze>,
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     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Squeeze_1:0' shape=() dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_22' type=MatMul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape:0' shape=(2048, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_22:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_23' type=MatMul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_11:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/MatMul_23:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Squeeze_2' type=Squeeze>,
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     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Squeeze_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/norm/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape:0' shape=(2048, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape:0' shape=(2048, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/norm/mul:0' shape=(2048, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/norm/Const' type=Const>,
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['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/norm/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/norm/mul:0' shape=(2048, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/norm/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/norm/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/norm/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/norm/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/norm/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/norm/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/norm/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/norm/Squeeze:0' shape=() dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/norm/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Sqrt:0' shape=() dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/StopGradient_2' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Sqrt:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/StopGradient_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/norm_1/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape:0' shape=(2048, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape:0' shape=(2048, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/norm_1/mul:0' shape=(2048, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/norm_1/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/norm_1/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/norm_1/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/norm_1/mul:0' shape=(2048, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/norm_1/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/norm_1/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/norm_1/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/norm_1/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/norm_1/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/norm_1/Squeeze:0' shape=() dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/truediv_6' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape:0' shape=(2048, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/truediv_6:0' shape=(2048, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/AssignVariableOp' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/StopGradient:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/ReadVariableOp_3' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/ReadVariableOp_3:0' shape=(1, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/AssignVariableOp_1' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/ReadVariableOp_4' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/ReadVariableOp_4:0' shape=(1, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/AssignVariableOp_2' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/mul_11:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/ReadVariableOp_5' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/ReadVariableOp_5:0' shape=(1, 512) dtype=float32>]}]
### UPDATED NORM ###



['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape_1/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape_1/shape:0' shape=(4,) dtype=int32>]},
     {'value': array([   1,    1, 2048,  512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape_1' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/truediv_6:0' shape=(2048, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape_1/shape:0' shape=(4,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape_1:0' shape=(1, 1, 2048, 512) dtype=float32>]}]
['Conv2D', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/convolution' type=Conv2D>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/Relu:0' shape=(1, 4, 4, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/Reshape_1:0' shape=(1, 1, 2048, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/convolution:0' shape=(1, 4, 4, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/b/Initializer/zeros' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/b/Initializer/zeros:0' shape=(512,) dtype=float32>]},
     {'value': 0.0}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/b' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/b:0' shape=(512,) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/b/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/b:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/b/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/b/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/b:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv0/b/Initializer/zeros:0' shape=(512,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv0/b/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/b:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv0/b/Read/ReadVariableOp:0' shape=(512,) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/BiasAdd/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv0/b:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/BiasAdd/ReadVariableOp:0' shape=(512,) dtype=float32>]}]
['BiasAdd', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv0/BiasAdd' type=BiasAdd>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/convolution:0' shape=(1, 4, 4, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/BiasAdd/ReadVariableOp:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/BiasAdd:0' shape=(1, 4, 4, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Mean/reduction_indices' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Mean/reduction_indices:0' shape=(3,) dtype=int32>]},
     {'value': array([0, 1, 2], dtype=int32)}]
['Mean', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Mean' type=Mean>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/BiasAdd:0' shape=(1, 4, 4, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Mean/reduction_indices:0' shape=(3,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Mean:0' shape=(512,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/truediv/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/truediv/y:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/truediv' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Mean:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/truediv/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/truediv:0' shape=(512,) dtype=float32>]}]
['IdentityN', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/IdentityN' type=IdentityN>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/truediv:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/truediv:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/IdentityN:0' shape=(512,) dtype=float32>,
                  <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/IdentityN:1' shape=(512,) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Square' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/BiasAdd:0' shape=(1, 4, 4, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Square:0' shape=(1, 4, 4, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Mean_1/reduction_indices' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Mean_1/reduction_indices:0' shape=(3,) dtype=int32>]},
     {'value': array([0, 1, 2], dtype=int32)}]
['Mean', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Mean_1' type=Mean>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Square:0' shape=(1, 4, 4, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Mean_1/reduction_indices:0' shape=(3,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Mean_1:0' shape=(512,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/truediv_1/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/truediv_1/y:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/truediv_1' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Mean_1:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/truediv_1/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/truediv_1:0' shape=(512,) dtype=float32>]}]
['IdentityN', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/IdentityN_1' type=IdentityN>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/truediv_1:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/truediv_1:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/IdentityN_1:0' shape=(512,) dtype=float32>,
                  <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/IdentityN_1:1' shape=(512,) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Square_1' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/IdentityN:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Square_1:0' shape=(512,) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/sub' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/IdentityN_1:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Square_1:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/sub:0' shape=(512,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/random_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([512, 256], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/random_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/random_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/random_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RandomStandardNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/random_normal/RandomStandardNormal' type=RandomStandardNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/random_normal/RandomStandardNormal:0' shape=(512, 256) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/random_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/random_normal/RandomStandardNormal:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/random_normal/mul:0' shape=(512, 256) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/random_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/random_normal/mul:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/random_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/random_normal:0' shape=(512, 256) dtype=float32>]}]
['Qr', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/Qr' type=Qr>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/random_normal:0' shape=(512, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/Qr:0' shape=(512, 256) dtype=float32>,
                  <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/Qr:1' shape=(256, 256) dtype=float32>]}]
['DiagPart', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/DiagPart' type=DiagPart>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/Qr:1' shape=(256, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/DiagPart:0' shape=(256,) dtype=float32>]}]
['Sign', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/Sign' type=Sign>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/DiagPart:0' shape=(256,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/Sign:0' shape=(256,) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/Qr:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/Sign:0' shape=(256,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/mul:0' shape=(512, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/matrix_transpose/transpose/perm' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>]},
     {'value': array([1, 0], dtype=int32)}]
['Transpose', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/matrix_transpose/transpose' type=Transpose>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/mul:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/matrix_transpose/transpose:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([256, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/matrix_transpose/transpose:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/Reshape:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/mul_1/x' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/mul_1/x:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/mul_1/x:0' shape=() dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/mul_1:0' shape=(256, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w:0' shape=(256, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/scale/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/scale/w:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Initializer/mul_1:0' shape=(256, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/scale/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/w/Read/ReadVariableOp:0' shape=(256, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/scale/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape/ReadVariableOp:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([ -1, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape/ReadVariableOp:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape:0' shape=(256, 512) dtype=float32>]}]




### INIT NORM ###
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/u0/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/u0/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/u0/Initializer/truncated_normal/stddev' type=Const>,
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['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/u1/Initializer/truncated_normal/mean' type=Const>,
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['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/u1' type=Placeholder>,
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['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/u1/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
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['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/u1/Read/ReadVariableOp' type=ReadVariableOp>,
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['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/scale/u2/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
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['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Square_1' type=Square>,
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['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_1/y' type=Const>,
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['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Rsqrt_1' type=Rsqrt>,
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['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/ReadVariableOp_1' type=ReadVariableOp>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_2' type=MatMul>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_3' type=MatMul>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_4' type=MatMul>,
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['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_2' type=Mul>,
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['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/truediv' type=RealDiv>,
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['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/sub' type=Sub>,
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['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Square_2' type=Square>,
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['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Const_2' type=Const>,
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['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Sum_2' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Square_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Const_2:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Sum_2:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_2/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_2/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_2' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Sum_2:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_2/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_2:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Rsqrt_2' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Rsqrt_2:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_3' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/sub:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Rsqrt_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_3:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_5' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_5:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_6' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_6:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_7' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_7:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_4' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_6:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_4:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/truediv_1' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_4:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/truediv_1:0' shape=(1, 512) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/sub_1' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/truediv_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/sub_1:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Square_3' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/sub_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Square_3:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Const_3' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Const_3:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Sum_3' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Square_3:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Const_3:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Sum_3:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_3/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_3/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_3' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Sum_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_3/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_3:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Rsqrt_3' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Rsqrt_3:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_5' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/sub_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Rsqrt_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_5:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/ReadVariableOp_2' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/scale/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/ReadVariableOp_2:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_8' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/ReadVariableOp_2:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_8:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_9' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_8:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_9:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_10' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_10:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_6' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_9:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_6:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/truediv_2' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_6:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_10:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/truediv_2:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_11' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_8:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_11:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_12' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_12:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_7' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_11:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_7:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/truediv_3' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_7:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_12:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/truediv_3:0' shape=(1, 256) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_4' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/truediv_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/truediv_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_4:0' shape=(1, 256) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/sub_2' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_4:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/sub_2:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Square_4' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/sub_2:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Square_4:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Const_4' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Const_4:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Sum_4' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Square_4:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Const_4:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Sum_4:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_5/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_5/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_5' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Sum_4:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_5/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_5:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Rsqrt_4' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Rsqrt_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_8' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/sub_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Rsqrt_4:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_8:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_13' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_13:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_14' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_13:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_14:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_15' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_15:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_9' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_14:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_9:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/truediv_4' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_9:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_15:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/truediv_4:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_16' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_13:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_16:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_17' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_17:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_10' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_16:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_10:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/truediv_5' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_10:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_17:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/truediv_5:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_6' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/truediv_4:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/truediv_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_6:0' shape=(1, 512) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/sub_3' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_13:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_6:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/sub_3:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Square_5' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/sub_3:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Square_5:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Const_5' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Const_5:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Sum_5' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Square_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Const_5:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Sum_5:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_7/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_7/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_7' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Sum_5:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_7/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_7:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Rsqrt_5' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/add_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Rsqrt_5:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_11' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/sub_3:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Rsqrt_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_11:0' shape=(1, 512) dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/StopGradient' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/StopGradient:0' shape=(1, 512) dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/StopGradient_1' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/StopGradient_1:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_18' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/StopGradient_1:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_18:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_19' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_18:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/StopGradient:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_19:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_19:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Squeeze:0' shape=() dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_20' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_20:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_21' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_20:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_21:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Squeeze_1' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_21:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Squeeze_1:0' shape=() dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_22' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_22:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_23' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_22:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_11:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_23:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Squeeze_2' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_23:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Squeeze_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm/mul:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm/mul:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm/Squeeze:0' shape=() dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Sqrt:0' shape=() dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/StopGradient_2' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Sqrt:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/StopGradient_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm_1/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm_1/mul:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm_1/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm_1/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm_1/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm_1/mul:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm_1/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm_1/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm_1/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm_1/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm_1/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/norm_1/Squeeze:0' shape=() dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/truediv_6' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/truediv_6:0' shape=(256, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/AssignVariableOp' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/scale/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/StopGradient:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/ReadVariableOp_3' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/scale/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/ReadVariableOp_3:0' shape=(1, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/AssignVariableOp_1' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/scale/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/ReadVariableOp_4' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/scale/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/ReadVariableOp_4:0' shape=(1, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/AssignVariableOp_2' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/scale/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/mul_11:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/ReadVariableOp_5' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/scale/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/ReadVariableOp_5:0' shape=(1, 512) dtype=float32>]}]
### UPDATED NORM ###



['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape_1/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape_1/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([256, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape_1' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/truediv_6:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape_1/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape_1:0' shape=(256, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_24' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/concat:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/Reshape_1:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_24:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/add/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/add/y:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/add' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/scale/MatMul_24:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/add/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/add:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Reshape/shape:0' shape=(4,) dtype=int32>]},
     {'value': array([ -1,   1,   1, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/add:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Reshape/shape:0' shape=(4,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Reshape:0' shape=(1, 1, 1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/random_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([512, 256], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/random_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/random_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/random_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RandomStandardNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/random_normal/RandomStandardNormal' type=RandomStandardNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/random_normal/RandomStandardNormal:0' shape=(512, 256) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/random_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/random_normal/RandomStandardNormal:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/random_normal/mul:0' shape=(512, 256) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/random_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/random_normal/mul:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/random_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/random_normal:0' shape=(512, 256) dtype=float32>]}]
['Qr', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/Qr' type=Qr>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/random_normal:0' shape=(512, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/Qr:0' shape=(512, 256) dtype=float32>,
                  <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/Qr:1' shape=(256, 256) dtype=float32>]}]
['DiagPart', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/DiagPart' type=DiagPart>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/Qr:1' shape=(256, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/DiagPart:0' shape=(256,) dtype=float32>]}]
['Sign', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/Sign' type=Sign>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/DiagPart:0' shape=(256,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/Sign:0' shape=(256,) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/Qr:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/Sign:0' shape=(256,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/mul:0' shape=(512, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/matrix_transpose/transpose/perm' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>]},
     {'value': array([1, 0], dtype=int32)}]
['Transpose', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/matrix_transpose/transpose' type=Transpose>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/mul:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/matrix_transpose/transpose:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([256, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/matrix_transpose/transpose:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/Reshape:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/mul_1/x' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/mul_1/x:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/mul_1/x:0' shape=() dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/mul_1:0' shape=(256, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w:0' shape=(256, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/w:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Initializer/mul_1:0' shape=(256, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/w/Read/ReadVariableOp:0' shape=(256, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Reshape/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Reshape/ReadVariableOp:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([ -1, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Reshape/ReadVariableOp:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Reshape:0' shape=(256, 512) dtype=float32>]}]




### INIT NORM ###
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u0/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u1/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/offset/u2/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/ReadVariableOp:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Square' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Square:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Square:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Sum:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Sum:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Rsqrt' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Rsqrt:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Rsqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_1' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_1:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Square_1' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Square_1:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Const_1' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Const_1:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Sum_1' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Square_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Const_1:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Sum_1:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_1/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_1/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_1' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Sum_1:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_1/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_1:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Rsqrt_1' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_1:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Rsqrt_1:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Rsqrt_1:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_1:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/ReadVariableOp_1' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/ReadVariableOp_1:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_2' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/ReadVariableOp_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_2:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_3' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_2:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_3:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_4' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_2' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_2:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/truediv' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_4:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/truediv:0' shape=(1, 256) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/sub' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/truediv:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/sub:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Square_2' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/sub:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Square_2:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Const_2' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Const_2:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Sum_2' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Square_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Const_2:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Sum_2:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_2/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_2/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_2' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Sum_2:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_2/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_2:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Rsqrt_2' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Rsqrt_2:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_3' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/sub:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Rsqrt_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_3:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_5' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_5:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_6' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_6:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_7' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_7:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_4' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_6:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_4:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/truediv_1' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_4:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/truediv_1:0' shape=(1, 512) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/sub_1' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/truediv_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/sub_1:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Square_3' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/sub_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Square_3:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Const_3' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Const_3:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Sum_3' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Square_3:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Const_3:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Sum_3:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_3/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_3/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_3' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Sum_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_3/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_3:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Rsqrt_3' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Rsqrt_3:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_5' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/sub_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Rsqrt_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_5:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/ReadVariableOp_2' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/ReadVariableOp_2:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_8' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/ReadVariableOp_2:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_8:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_9' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_8:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_9:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_10' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_10:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_6' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_9:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_6:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/truediv_2' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_6:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_10:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/truediv_2:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_11' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_8:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_11:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_12' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_12:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_7' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_11:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_7:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/truediv_3' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_7:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_12:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/truediv_3:0' shape=(1, 256) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_4' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/truediv_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/truediv_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_4:0' shape=(1, 256) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/sub_2' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/add_4:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/sub_2:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Square_4' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/sub_2:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Square_4:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Const_4' type=Const>,
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['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/ReadVariableOp_3' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/ReadVariableOp_3:0' shape=(1, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/AssignVariableOp_1' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/ReadVariableOp_4' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/ReadVariableOp_4:0' shape=(1, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/AssignVariableOp_2' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/mul_11:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/ReadVariableOp_5' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/offset/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/ReadVariableOp_5:0' shape=(1, 512) dtype=float32>]}]
### UPDATED NORM ###



['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Reshape_1/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Reshape_1/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([256, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Reshape_1' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/truediv_6:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Reshape_1/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Reshape_1:0' shape=(256, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_24' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/concat:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/Reshape_1:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_24:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Reshape_1/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Reshape_1/shape:0' shape=(4,) dtype=int32>]},
     {'value': array([ -1,   1,   1, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Reshape_1' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/offset/MatMul_24:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Reshape_1/shape:0' shape=(4,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Reshape_1:0' shape=(1, 1, 1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/add/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/add/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/add' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/sub:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/add/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/add:0' shape=(512,) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/Rsqrt' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/add:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/Rsqrt:0' shape=(512,) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/Rsqrt:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Reshape:0' shape=(1, 1, 1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/mul:0' shape=(1, 1, 1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv0/BiasAdd:0' shape=(1, 4, 4, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/mul:0' shape=(1, 1, 1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/mul_1:0' shape=(1, 4, 4, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/mul_2' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/IdentityN:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/mul:0' shape=(1, 1, 1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/mul_2:0' shape=(1, 1, 1, 512) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/sub' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Reshape_1:0' shape=(1, 1, 1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/mul_2:0' shape=(1, 1, 1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/sub:0' shape=(1, 1, 1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/add_1' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/mul_1:0' shape=(1, 4, 4, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/sub:0' shape=(1, 1, 1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/add_1:0' shape=(1, 4, 4, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulated_mean/Initializer/zeros' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulated_mean/Initializer/zeros:0' shape=(512,) dtype=float32>]},
     {'value': 0.0}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulated_mean' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulated_mean:0' shape=(512,) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulated_mean/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/accumulated_mean:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulated_mean/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulated_mean/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/accumulated_mean:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulated_mean/Initializer/zeros:0' shape=(512,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulated_mean/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/accumulated_mean:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulated_mean/Read/ReadVariableOp:0' shape=(512,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulated_var/Initializer/zeros' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulated_var/Initializer/zeros:0' shape=(512,) dtype=float32>]},
     {'value': 0.0}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulated_var' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulated_var:0' shape=(512,) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulated_var/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/accumulated_var:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulated_var/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulated_var/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/accumulated_var:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulated_var/Initializer/zeros:0' shape=(512,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulated_var/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/accumulated_var:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulated_var/Read/ReadVariableOp:0' shape=(512,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulation_counter/Initializer/zeros' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulation_counter/Initializer/zeros:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulation_counter' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulation_counter:0' shape=() dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulation_counter/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/accumulation_counter:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulation_counter/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulation_counter/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/accumulation_counter:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulation_counter/Initializer/zeros:0' shape=() dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulation_counter/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/accumulation_counter:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_1/accumulation_counter/Read/ReadVariableOp:0' shape=() dtype=float32>]}]
['AssignAddVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/AssignAddVariableOp' type=AssignAddVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/accumulated_mean:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/IdentityN:0' shape=(512,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/accumulated_mean:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/ReadVariableOp:0' shape=(512,) dtype=float32>]}]
['AssignAddVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/AssignAddVariableOp_1' type=AssignAddVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/accumulated_var:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/sub:0' shape=(512,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/ReadVariableOp_1' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/accumulated_var:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/ReadVariableOp_1:0' shape=(512,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Const:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['AssignAddVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/AssignAddVariableOp_2' type=AssignAddVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/accumulation_counter:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/Const:0' shape=() dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/ReadVariableOp_2' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_1/accumulation_counter:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/ReadVariableOp_2:0' shape=() dtype=float32>]}]
['NoOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/group_deps' type=NoOp>,
     {'outputs': []}]
['Relu', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/Relu_1' type=Relu>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_1/batchnorm/add_1:0' shape=(1, 4, 4, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/Relu_1:0' shape=(1, 4, 4, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/w/Initializer/random_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([4608,  512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/w/Initializer/random_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/random_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/w/Initializer/random_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RandomStandardNormal', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/w/Initializer/random_normal/RandomStandardNormal' type=RandomStandardNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/random_normal/RandomStandardNormal:0' shape=(4608, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/w/Initializer/random_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/random_normal/RandomStandardNormal:0' shape=(4608, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/random_normal/mul:0' shape=(4608, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/w/Initializer/random_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/random_normal/mul:0' shape=(4608, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/random_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/random_normal:0' shape=(4608, 512) dtype=float32>]}]
['Qr', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/w/Initializer/Qr' type=Qr>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/random_normal:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/Qr:0' shape=(4608, 512) dtype=float32>,
                  <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/Qr:1' shape=(512, 512) dtype=float32>]}]
['DiagPart', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/w/Initializer/DiagPart' type=DiagPart>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/Qr:1' shape=(512, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/DiagPart:0' shape=(512,) dtype=float32>]}]
['Sign', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/w/Initializer/Sign' type=Sign>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/DiagPart:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/Sign:0' shape=(512,) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/w/Initializer/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/Qr:0' shape=(4608, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/Sign:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/mul:0' shape=(4608, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/w/Initializer/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/Reshape/shape:0' shape=(4,) dtype=int32>]},
     {'value': array([  3,   3, 512, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/w/Initializer/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/mul:0' shape=(4608, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/Reshape/shape:0' shape=(4,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/Reshape:0' shape=(3, 3, 512, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/w/Initializer/mul_1/x' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/mul_1/x:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/w/Initializer/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/mul_1/x:0' shape=() dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/Reshape:0' shape=(3, 3, 512, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/mul_1:0' shape=(3, 3, 512, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/w' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w:0' shape=(3, 3, 512, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/w/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/w/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/w:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Initializer/mul_1:0' shape=(3, 3, 512, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/w/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/w/Read/ReadVariableOp:0' shape=(3, 3, 512, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape/ReadVariableOp:0' shape=(3, 3, 512, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([ -1, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape/ReadVariableOp:0' shape=(3, 3, 512, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape:0' shape=(4608, 512) dtype=float32>]}]




### INIT NORM ###
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u0/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u0/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u0/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u0/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u0/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u0/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u0/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u0/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u0/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u0' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u0:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u0/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u0/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u0/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u0/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u0/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u0/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u1/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u1/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u1/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u1/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u1/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u1/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u1/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u1/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u1/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u1' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u1:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u1/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u1/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u1/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u1/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u1/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u1/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u2/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u2/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u2/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u2/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u2/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u2/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u2/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u2/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u2/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u2' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u2:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u2/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u2/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u2/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u2/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/u2/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/u2/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/ReadVariableOp:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul:0' shape=(1, 4608) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Square' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Square:0' shape=(1, 4608) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Square:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Sum:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/add/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/add' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Sum:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Rsqrt' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Rsqrt:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Rsqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul:0' shape=(1, 4608) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_1' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_1:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Square_1' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Square_1:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Const_1' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Const_1:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Sum_1' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Square_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Const_1:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Sum_1:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/add_1/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_1/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/add_1' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Sum_1:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_1/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_1:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Rsqrt_1' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_1:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Rsqrt_1:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Rsqrt_1:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_1:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/ReadVariableOp_1' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/ReadVariableOp_1:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_2' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/ReadVariableOp_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_2:0' shape=(1, 4608) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_3' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_2:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_3:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_4' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_2' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_2:0' shape=(1, 4608) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_2:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_4:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv:0' shape=(1, 4608) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/sub' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_2:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/sub:0' shape=(1, 4608) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Square_2' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/sub:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Square_2:0' shape=(1, 4608) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Const_2' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Const_2:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Sum_2' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Square_2:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Const_2:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Sum_2:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/add_2/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_2/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/add_2' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Sum_2:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_2/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_2:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Rsqrt_2' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Rsqrt_2:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_3' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/sub:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Rsqrt_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_3:0' shape=(1, 4608) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_5' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_3:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_5:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_6' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_6:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_7' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_7:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_4' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_6:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_4:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv_1' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_4:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv_1:0' shape=(1, 512) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/sub_1' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/sub_1:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Square_3' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/sub_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Square_3:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Const_3' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Const_3:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Sum_3' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Square_3:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Const_3:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Sum_3:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/add_3/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_3/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/add_3' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Sum_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_3/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_3:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Rsqrt_3' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Rsqrt_3:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_5' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/sub_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Rsqrt_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_5:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/ReadVariableOp_2' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/ReadVariableOp_2:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_8' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/ReadVariableOp_2:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_8:0' shape=(1, 4608) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_9' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_8:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_9:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_10' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_10:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_6' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_9:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_6:0' shape=(1, 4608) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv_2' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_6:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_10:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv_2:0' shape=(1, 4608) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_11' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_3:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_8:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_11:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_12' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_3:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_3:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_12:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_7' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_11:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_3:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_7:0' shape=(1, 4608) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv_3' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_7:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_12:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv_3:0' shape=(1, 4608) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/add_4' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv_2:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv_3:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_4:0' shape=(1, 4608) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/sub_2' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_8:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_4:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/sub_2:0' shape=(1, 4608) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Square_4' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/sub_2:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Square_4:0' shape=(1, 4608) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Const_4' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Const_4:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Sum_4' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Square_4:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Const_4:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Sum_4:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/add_5/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_5/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/add_5' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Sum_4:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_5/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_5:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Rsqrt_4' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Rsqrt_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_8' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/sub_2:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Rsqrt_4:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_8:0' shape=(1, 4608) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_13' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_8:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_13:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_14' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_13:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_14:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_15' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_15:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_9' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_14:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_9:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv_4' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_9:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_15:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv_4:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_16' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_13:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_16:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_17' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_17:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_10' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_16:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_10:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv_5' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_10:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_17:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv_5:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/add_6' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv_4:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_6:0' shape=(1, 512) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/sub_3' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_13:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_6:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/sub_3:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Square_5' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/sub_3:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Square_5:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Const_5' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Const_5:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Sum_5' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Square_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Const_5:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Sum_5:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/add_7/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_7/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/add_7' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Sum_5:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_7/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_7:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Rsqrt_5' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/add_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Rsqrt_5:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_11' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/sub_3:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Rsqrt_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_11:0' shape=(1, 512) dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/StopGradient' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/StopGradient:0' shape=(1, 512) dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/StopGradient_1' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/StopGradient_1:0' shape=(1, 4608) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_18' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/StopGradient_1:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_18:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_19' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_18:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/StopGradient:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_19:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_19:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Squeeze:0' shape=() dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_20' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_3:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_20:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_21' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_20:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_21:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Squeeze_1' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_21:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Squeeze_1:0' shape=() dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_22' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_8:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_22:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_23' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_22:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_11:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_23:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Squeeze_2' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/MatMul_23:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Squeeze_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/norm/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape:0' shape=(4608, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/norm/mul:0' shape=(4608, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/norm/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/norm/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/norm/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/norm/mul:0' shape=(4608, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/norm/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/norm/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/norm/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/norm/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/norm/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/norm/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/norm/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/norm/Squeeze:0' shape=() dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/norm/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Sqrt:0' shape=() dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/StopGradient_2' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Sqrt:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/StopGradient_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/norm_1/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape:0' shape=(4608, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/norm_1/mul:0' shape=(4608, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/norm_1/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/norm_1/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/norm_1/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/norm_1/mul:0' shape=(4608, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/norm_1/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/norm_1/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/norm_1/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/norm_1/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/norm_1/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/norm_1/Squeeze:0' shape=() dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv_6' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape:0' shape=(4608, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv_6:0' shape=(4608, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/AssignVariableOp' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/StopGradient:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/ReadVariableOp_3' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/ReadVariableOp_3:0' shape=(1, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/AssignVariableOp_1' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/ReadVariableOp_4' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/ReadVariableOp_4:0' shape=(1, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/AssignVariableOp_2' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/mul_11:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/ReadVariableOp_5' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/ReadVariableOp_5:0' shape=(1, 512) dtype=float32>]}]
### UPDATED NORM ###



['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape_1/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape_1/shape:0' shape=(4,) dtype=int32>]},
     {'value': array([  3,   3, 512, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape_1' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/truediv_6:0' shape=(4608, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape_1/shape:0' shape=(4,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape_1:0' shape=(3, 3, 512, 512) dtype=float32>]}]
['Conv2D', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/convolution' type=Conv2D>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/Relu_1:0' shape=(1, 4, 4, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/Reshape_1:0' shape=(3, 3, 512, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/convolution:0' shape=(1, 4, 4, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/b/Initializer/zeros' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/b/Initializer/zeros:0' shape=(512,) dtype=float32>]},
     {'value': 0.0}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/b' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/b:0' shape=(512,) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/b/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/b:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/b/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/b/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/b:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv1/b/Initializer/zeros:0' shape=(512,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv1/b/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/b:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv1/b/Read/ReadVariableOp:0' shape=(512,) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/BiasAdd/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv1/b:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/BiasAdd/ReadVariableOp:0' shape=(512,) dtype=float32>]}]
['BiasAdd', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv1/BiasAdd' type=BiasAdd>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/convolution:0' shape=(1, 4, 4, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/BiasAdd/ReadVariableOp:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/BiasAdd:0' shape=(1, 4, 4, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Mean/reduction_indices' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Mean/reduction_indices:0' shape=(3,) dtype=int32>]},
     {'value': array([0, 1, 2], dtype=int32)}]
['Mean', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Mean' type=Mean>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/BiasAdd:0' shape=(1, 4, 4, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Mean/reduction_indices:0' shape=(3,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Mean:0' shape=(512,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/truediv/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/truediv/y:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/truediv' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Mean:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/truediv/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/truediv:0' shape=(512,) dtype=float32>]}]
['IdentityN', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/IdentityN' type=IdentityN>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/truediv:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/truediv:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/IdentityN:0' shape=(512,) dtype=float32>,
                  <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/IdentityN:1' shape=(512,) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Square' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/BiasAdd:0' shape=(1, 4, 4, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Square:0' shape=(1, 4, 4, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Mean_1/reduction_indices' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Mean_1/reduction_indices:0' shape=(3,) dtype=int32>]},
     {'value': array([0, 1, 2], dtype=int32)}]
['Mean', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Mean_1' type=Mean>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Square:0' shape=(1, 4, 4, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Mean_1/reduction_indices:0' shape=(3,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Mean_1:0' shape=(512,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/truediv_1/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/truediv_1/y:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/truediv_1' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Mean_1:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/truediv_1/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/truediv_1:0' shape=(512,) dtype=float32>]}]
['IdentityN', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/IdentityN_1' type=IdentityN>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/truediv_1:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/truediv_1:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/IdentityN_1:0' shape=(512,) dtype=float32>,
                  <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/IdentityN_1:1' shape=(512,) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Square_1' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/IdentityN:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Square_1:0' shape=(512,) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/sub' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/IdentityN_1:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Square_1:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/sub:0' shape=(512,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/random_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([512, 256], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/random_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/random_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/random_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RandomStandardNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/random_normal/RandomStandardNormal' type=RandomStandardNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/random_normal/RandomStandardNormal:0' shape=(512, 256) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/random_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/random_normal/RandomStandardNormal:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/random_normal/mul:0' shape=(512, 256) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/random_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/random_normal/mul:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/random_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/random_normal:0' shape=(512, 256) dtype=float32>]}]
['Qr', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/Qr' type=Qr>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/random_normal:0' shape=(512, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/Qr:0' shape=(512, 256) dtype=float32>,
                  <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/Qr:1' shape=(256, 256) dtype=float32>]}]
['DiagPart', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/DiagPart' type=DiagPart>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/Qr:1' shape=(256, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/DiagPart:0' shape=(256,) dtype=float32>]}]
['Sign', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/Sign' type=Sign>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/DiagPart:0' shape=(256,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/Sign:0' shape=(256,) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/Qr:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/Sign:0' shape=(256,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/mul:0' shape=(512, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/matrix_transpose/transpose/perm' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>]},
     {'value': array([1, 0], dtype=int32)}]
['Transpose', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/matrix_transpose/transpose' type=Transpose>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/mul:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/matrix_transpose/transpose:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([256, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/matrix_transpose/transpose:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/Reshape:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/mul_1/x' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/mul_1/x:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/mul_1/x:0' shape=() dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/mul_1:0' shape=(256, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w:0' shape=(256, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/w:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Initializer/mul_1:0' shape=(256, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/w/Read/ReadVariableOp:0' shape=(256, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape/ReadVariableOp:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([ -1, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape/ReadVariableOp:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape:0' shape=(256, 512) dtype=float32>]}]




### INIT NORM ###
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u0/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u1/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/scale/u2/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/ReadVariableOp:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Square' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Square:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Square:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Sum:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Sum:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Rsqrt' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Rsqrt:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Rsqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_1' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_1:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Square_1' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Square_1:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Const_1' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Const_1:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Sum_1' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Square_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Const_1:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Sum_1:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_1/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_1/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_1' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Sum_1:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_1/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_1:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Rsqrt_1' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_1:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Rsqrt_1:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Rsqrt_1:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_1:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/ReadVariableOp_1' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/ReadVariableOp_1:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_2' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/ReadVariableOp_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_2:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_3' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_2:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_3:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_4' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_2' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_2:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/truediv' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_4:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/truediv:0' shape=(1, 256) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/sub' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/truediv:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/sub:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Square_2' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/sub:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Square_2:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Const_2' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Const_2:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Sum_2' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Square_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Const_2:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Sum_2:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_2/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_2/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_2' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Sum_2:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_2/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_2:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Rsqrt_2' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Rsqrt_2:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_3' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/sub:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Rsqrt_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_3:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_5' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_5:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_6' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_6:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_7' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_7:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_4' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_6:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_4:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/truediv_1' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_4:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/truediv_1:0' shape=(1, 512) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/sub_1' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/truediv_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/sub_1:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Square_3' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/sub_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Square_3:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Const_3' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Const_3:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Sum_3' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Square_3:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Const_3:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Sum_3:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_3/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_3/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_3' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Sum_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_3/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_3:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Rsqrt_3' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Rsqrt_3:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_5' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/sub_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Rsqrt_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_5:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/ReadVariableOp_2' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/ReadVariableOp_2:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_8' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/ReadVariableOp_2:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_8:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_9' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_8:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_9:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_10' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_10:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_6' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_9:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_6:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/truediv_2' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_6:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_10:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/truediv_2:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_11' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_8:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_11:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_12' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_3:0' shape=(1, 256) dtype=float32>,
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['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_7' type=Mul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_3:0' shape=(1, 256) dtype=float32>,
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['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/truediv_3' type=RealDiv>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_12:0' shape=(1, 1) dtype=float32>,
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['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_4' type=Add>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/truediv_3:0' shape=(1, 256) dtype=float32>,
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['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/sub_2' type=Sub>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_4:0' shape=(1, 256) dtype=float32>,
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['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Square_4' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/sub_2:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Square_4:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Const_4' type=Const>,
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['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Sum_4' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Square_4:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Const_4:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Sum_4:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_5/y' type=Const>,
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['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_5' type=Add>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_5/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_5:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Rsqrt_4' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Rsqrt_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_8' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/sub_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Rsqrt_4:0' shape=(1, 1) dtype=float32>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_13' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_13:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_14' type=MatMul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_13:0' shape=(1, 512) dtype=float32>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_15' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_1:0' shape=(1, 512) dtype=float32>,
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['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_9' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_14:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_1:0' shape=(1, 512) dtype=float32>,
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['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/truediv_4' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_9:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_15:0' shape=(1, 1) dtype=float32>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_16' type=MatMul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_13:0' shape=(1, 512) dtype=float32>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_17' type=MatMul>,
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['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_10' type=Mul>,
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['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/truediv_5' type=RealDiv>,
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['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_6' type=Add>,
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['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/sub_3' type=Sub>,
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['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Square_5' type=Square>,
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['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Const_5' type=Const>,
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['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/add_7/y' type=Const>,
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['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Rsqrt_5' type=Rsqrt>,
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['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_11' type=Mul>,
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['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/StopGradient' type=StopGradient>,
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['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/StopGradient_1' type=StopGradient>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_18' type=MatMul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape:0' shape=(256, 512) dtype=float32>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_19' type=MatMul>,
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['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Squeeze' type=Squeeze>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_20' type=MatMul>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_21' type=MatMul>,
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['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Squeeze_1' type=Squeeze>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_22' type=MatMul>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_23' type=MatMul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_11:0' shape=(1, 512) dtype=float32>,
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['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Squeeze_2' type=Squeeze>,
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     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Squeeze_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm/mul' type=Mul>,
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     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm/mul:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm/Const' type=Const>,
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['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm/Sum' type=Sum>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm/Squeeze:0' shape=() dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Sqrt:0' shape=() dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/StopGradient_2' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Sqrt:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/StopGradient_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm_1/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm_1/mul:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm_1/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm_1/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm_1/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm_1/mul:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm_1/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm_1/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm_1/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm_1/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm_1/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/norm_1/Squeeze:0' shape=() dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/truediv_6' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/truediv_6:0' shape=(256, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/AssignVariableOp' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/StopGradient:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/ReadVariableOp_3' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/ReadVariableOp_3:0' shape=(1, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/AssignVariableOp_1' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/ReadVariableOp_4' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/ReadVariableOp_4:0' shape=(1, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/AssignVariableOp_2' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/mul_11:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/ReadVariableOp_5' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/scale/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/ReadVariableOp_5:0' shape=(1, 512) dtype=float32>]}]
### UPDATED NORM ###



['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape_1/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape_1/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([256, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape_1' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/truediv_6:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape_1/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape_1:0' shape=(256, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_24' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/concat:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/Reshape_1:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_24:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/add/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/add/y:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/add' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/scale/MatMul_24:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/add/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/add:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Reshape/shape:0' shape=(4,) dtype=int32>]},
     {'value': array([ -1,   1,   1, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/add:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Reshape/shape:0' shape=(4,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Reshape:0' shape=(1, 1, 1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/random_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([512, 256], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/random_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/random_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/random_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RandomStandardNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/random_normal/RandomStandardNormal' type=RandomStandardNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/random_normal/RandomStandardNormal:0' shape=(512, 256) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/random_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/random_normal/RandomStandardNormal:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/random_normal/mul:0' shape=(512, 256) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/random_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/random_normal/mul:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/random_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/random_normal:0' shape=(512, 256) dtype=float32>]}]
['Qr', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/Qr' type=Qr>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/random_normal:0' shape=(512, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/Qr:0' shape=(512, 256) dtype=float32>,
                  <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/Qr:1' shape=(256, 256) dtype=float32>]}]
['DiagPart', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/DiagPart' type=DiagPart>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/Qr:1' shape=(256, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/DiagPart:0' shape=(256,) dtype=float32>]}]
['Sign', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/Sign' type=Sign>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/DiagPart:0' shape=(256,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/Sign:0' shape=(256,) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/Qr:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/Sign:0' shape=(256,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/mul:0' shape=(512, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/matrix_transpose/transpose/perm' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>]},
     {'value': array([1, 0], dtype=int32)}]
['Transpose', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/matrix_transpose/transpose' type=Transpose>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/mul:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/matrix_transpose/transpose:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([256, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/matrix_transpose/transpose:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/Reshape:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/mul_1/x' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/mul_1/x:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/mul_1/x:0' shape=() dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/mul_1:0' shape=(256, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w:0' shape=(256, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/w:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Initializer/mul_1:0' shape=(256, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/w/Read/ReadVariableOp:0' shape=(256, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape/ReadVariableOp:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([ -1, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape/ReadVariableOp:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape:0' shape=(256, 512) dtype=float32>]}]




### INIT NORM ###
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u0/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u1/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/offset/u2/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/ReadVariableOp:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Square' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Square:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Square:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sum:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sum:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Rsqrt' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Rsqrt:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Rsqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_1' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_1:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Square_1' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Square_1:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Const_1' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Const_1:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sum_1' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Square_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Const_1:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sum_1:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_1/y' type=Const>,
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     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_1' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sum_1:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_1/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_1:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Rsqrt_1' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_1:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Rsqrt_1:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Rsqrt_1:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_1:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/ReadVariableOp_1' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/ReadVariableOp_1:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_2' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/ReadVariableOp_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_2:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_3' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_2:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_3:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_4' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_2' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_2:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_4:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv:0' shape=(1, 256) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/sub' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/sub:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Square_2' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/sub:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Square_2:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Const_2' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Const_2:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sum_2' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Square_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Const_2:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sum_2:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_2/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_2/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_2' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sum_2:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_2/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_2:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Rsqrt_2' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Rsqrt_2:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_3' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/sub:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Rsqrt_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_3:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_5' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_5:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_6' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_6:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_7' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_7:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_4' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_6:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_4:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv_1' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_4:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv_1:0' shape=(1, 512) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/sub_1' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/sub_1:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Square_3' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/sub_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Square_3:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Const_3' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Const_3:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sum_3' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Square_3:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Const_3:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sum_3:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_3/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_3/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_3' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sum_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_3/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_3:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Rsqrt_3' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Rsqrt_3:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_5' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/sub_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Rsqrt_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_5:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/ReadVariableOp_2' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/ReadVariableOp_2:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_8' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/ReadVariableOp_2:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_8:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_9' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_8:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_9:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_10' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_10:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_6' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_9:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_6:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv_2' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_6:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_10:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv_2:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_11' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_8:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_11:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_12' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_12:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_7' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_11:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_7:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv_3' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_7:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_12:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv_3:0' shape=(1, 256) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_4' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_4:0' shape=(1, 256) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/sub_2' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_4:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/sub_2:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Square_4' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/sub_2:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Square_4:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Const_4' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Const_4:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sum_4' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Square_4:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Const_4:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sum_4:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_5/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_5/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_5' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sum_4:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_5/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_5:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Rsqrt_4' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Rsqrt_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_8' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/sub_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Rsqrt_4:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_8:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_13' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_13:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_14' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_13:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_14:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_15' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_15:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_9' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_14:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_9:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv_4' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_9:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_15:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv_4:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_16' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_13:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_16:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_17' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_17:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_10' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_16:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_10:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv_5' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_10:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_17:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv_5:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_6' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv_4:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_6:0' shape=(1, 512) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/sub_3' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_13:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_6:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/sub_3:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Square_5' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/sub_3:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Square_5:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Const_5' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Const_5:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sum_5' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Square_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Const_5:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sum_5:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_7/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_7/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_7' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sum_5:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_7/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_7:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Rsqrt_5' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/add_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Rsqrt_5:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_11' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/sub_3:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Rsqrt_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_11:0' shape=(1, 512) dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/StopGradient' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/StopGradient:0' shape=(1, 512) dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/StopGradient_1' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/StopGradient_1:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_18' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/StopGradient_1:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_18:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_19' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_18:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/StopGradient:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_19:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_19:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Squeeze:0' shape=() dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_20' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_20:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_21' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_20:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_21:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Squeeze_1' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_21:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Squeeze_1:0' shape=() dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_22' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_22:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_23' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_22:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_11:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_23:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Squeeze_2' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_23:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Squeeze_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm/mul:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm/mul:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm/Squeeze:0' shape=() dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sqrt:0' shape=() dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/StopGradient_2' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Sqrt:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/StopGradient_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm_1/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm_1/mul:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm_1/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm_1/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm_1/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm_1/mul:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm_1/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm_1/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm_1/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm_1/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm_1/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/norm_1/Squeeze:0' shape=() dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv_6' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv_6:0' shape=(256, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/AssignVariableOp' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/StopGradient:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/ReadVariableOp_3' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/ReadVariableOp_3:0' shape=(1, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/AssignVariableOp_1' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/ReadVariableOp_4' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/ReadVariableOp_4:0' shape=(1, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/AssignVariableOp_2' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/mul_11:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/ReadVariableOp_5' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/offset/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/ReadVariableOp_5:0' shape=(1, 512) dtype=float32>]}]
### UPDATED NORM ###



['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape_1/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape_1/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([256, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape_1' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/truediv_6:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape_1/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape_1:0' shape=(256, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_24' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/concat:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/Reshape_1:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_24:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Reshape_1/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Reshape_1/shape:0' shape=(4,) dtype=int32>]},
     {'value': array([ -1,   1,   1, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Reshape_1' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/offset/MatMul_24:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Reshape_1/shape:0' shape=(4,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Reshape_1:0' shape=(1, 1, 1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/add/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/add/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/add' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/sub:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/add/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/add:0' shape=(512,) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/Rsqrt' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/add:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/Rsqrt:0' shape=(512,) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/Rsqrt:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Reshape:0' shape=(1, 1, 1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/mul:0' shape=(1, 1, 1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv1/BiasAdd:0' shape=(1, 4, 4, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/mul:0' shape=(1, 1, 1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/mul_1:0' shape=(1, 4, 4, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/mul_2' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/IdentityN:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/mul:0' shape=(1, 1, 1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/mul_2:0' shape=(1, 1, 1, 512) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/sub' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Reshape_1:0' shape=(1, 1, 1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/mul_2:0' shape=(1, 1, 1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/sub:0' shape=(1, 1, 1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/add_1' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/mul_1:0' shape=(1, 4, 4, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/sub:0' shape=(1, 1, 1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/add_1:0' shape=(1, 4, 4, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulated_mean/Initializer/zeros' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulated_mean/Initializer/zeros:0' shape=(512,) dtype=float32>]},
     {'value': 0.0}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulated_mean' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulated_mean:0' shape=(512,) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulated_mean/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/accumulated_mean:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulated_mean/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulated_mean/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/accumulated_mean:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulated_mean/Initializer/zeros:0' shape=(512,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulated_mean/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/accumulated_mean:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulated_mean/Read/ReadVariableOp:0' shape=(512,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulated_var/Initializer/zeros' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulated_var/Initializer/zeros:0' shape=(512,) dtype=float32>]},
     {'value': 0.0}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulated_var' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulated_var:0' shape=(512,) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulated_var/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/accumulated_var:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulated_var/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulated_var/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/accumulated_var:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulated_var/Initializer/zeros:0' shape=(512,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulated_var/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/accumulated_var:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulated_var/Read/ReadVariableOp:0' shape=(512,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulation_counter/Initializer/zeros' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulation_counter/Initializer/zeros:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulation_counter' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulation_counter:0' shape=() dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulation_counter/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/accumulation_counter:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulation_counter/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulation_counter/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/accumulation_counter:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulation_counter/Initializer/zeros:0' shape=() dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulation_counter/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/accumulation_counter:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_2/accumulation_counter/Read/ReadVariableOp:0' shape=() dtype=float32>]}]
['AssignAddVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/AssignAddVariableOp' type=AssignAddVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/accumulated_mean:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/IdentityN:0' shape=(512,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/accumulated_mean:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/ReadVariableOp:0' shape=(512,) dtype=float32>]}]
['AssignAddVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/AssignAddVariableOp_1' type=AssignAddVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/accumulated_var:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/sub:0' shape=(512,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/ReadVariableOp_1' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/accumulated_var:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/ReadVariableOp_1:0' shape=(512,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Const:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['AssignAddVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/AssignAddVariableOp_2' type=AssignAddVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/accumulation_counter:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/Const:0' shape=() dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/ReadVariableOp_2' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_2/accumulation_counter:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/ReadVariableOp_2:0' shape=() dtype=float32>]}]
['NoOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/group_deps' type=NoOp>,
     {'outputs': []}]
['Relu', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/Relu_2' type=Relu>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_2/batchnorm/add_1:0' shape=(1, 4, 4, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/Relu_2:0' shape=(1, 4, 4, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/w/Initializer/random_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([4608,  512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/w/Initializer/random_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/random_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/w/Initializer/random_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RandomStandardNormal', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/w/Initializer/random_normal/RandomStandardNormal' type=RandomStandardNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/random_normal/RandomStandardNormal:0' shape=(4608, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/w/Initializer/random_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/random_normal/RandomStandardNormal:0' shape=(4608, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/random_normal/mul:0' shape=(4608, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/w/Initializer/random_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/random_normal/mul:0' shape=(4608, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/random_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/random_normal:0' shape=(4608, 512) dtype=float32>]}]
['Qr', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/w/Initializer/Qr' type=Qr>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/random_normal:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/Qr:0' shape=(4608, 512) dtype=float32>,
                  <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/Qr:1' shape=(512, 512) dtype=float32>]}]
['DiagPart', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/w/Initializer/DiagPart' type=DiagPart>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/Qr:1' shape=(512, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/DiagPart:0' shape=(512,) dtype=float32>]}]
['Sign', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/w/Initializer/Sign' type=Sign>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/DiagPart:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/Sign:0' shape=(512,) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/w/Initializer/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/Qr:0' shape=(4608, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/Sign:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/mul:0' shape=(4608, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/w/Initializer/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/Reshape/shape:0' shape=(4,) dtype=int32>]},
     {'value': array([  3,   3, 512, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/w/Initializer/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/mul:0' shape=(4608, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/Reshape/shape:0' shape=(4,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/Reshape:0' shape=(3, 3, 512, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/w/Initializer/mul_1/x' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/mul_1/x:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/w/Initializer/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/mul_1/x:0' shape=() dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/Reshape:0' shape=(3, 3, 512, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/mul_1:0' shape=(3, 3, 512, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/w' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w:0' shape=(3, 3, 512, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/w/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/w/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/w:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Initializer/mul_1:0' shape=(3, 3, 512, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/w/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/w/Read/ReadVariableOp:0' shape=(3, 3, 512, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape/ReadVariableOp:0' shape=(3, 3, 512, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([ -1, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape/ReadVariableOp:0' shape=(3, 3, 512, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape:0' shape=(4608, 512) dtype=float32>]}]




### INIT NORM ###
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u0/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u0/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u0/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u0/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u0/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u0/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u0/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u0/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u0/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u0' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u0:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u0/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u0/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u0/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u0/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u0/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u0/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u1/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u1/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u1/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u1/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u1/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u1/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u1/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u1/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u1/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u1' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u1:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u1/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u1/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u1/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u1/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u1/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u1/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u2/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u2/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u2/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u2/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u2/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u2/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u2/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u2/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u2/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u2' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u2:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u2/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u2/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u2/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u2/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/u2/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/u2/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/ReadVariableOp:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul:0' shape=(1, 4608) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Square' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Square:0' shape=(1, 4608) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Square:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Sum:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/add/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/add' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Sum:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Rsqrt' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Rsqrt:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Rsqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul:0' shape=(1, 4608) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_1' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_1:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Square_1' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Square_1:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Const_1' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Const_1:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Sum_1' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Square_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Const_1:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Sum_1:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/add_1/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add_1/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/add_1' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Sum_1:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add_1/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add_1:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Rsqrt_1' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add_1:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Rsqrt_1:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Rsqrt_1:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_1:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/ReadVariableOp_1' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/ReadVariableOp_1:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_2' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/ReadVariableOp_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_2:0' shape=(1, 4608) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_3' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_2:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_3:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_4' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_2' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_2:0' shape=(1, 4608) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/truediv' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_2:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_4:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/truediv:0' shape=(1, 4608) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/sub' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_2:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/truediv:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/sub:0' shape=(1, 4608) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Square_2' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/sub:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Square_2:0' shape=(1, 4608) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Const_2' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Const_2:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Sum_2' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Square_2:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Const_2:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Sum_2:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/add_2/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add_2/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/add_2' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Sum_2:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add_2/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add_2:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Rsqrt_2' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Rsqrt_2:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_3' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/sub:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Rsqrt_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_3:0' shape=(1, 4608) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_5' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_3:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_5:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_6' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_6:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_7' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_7:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_4' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_6:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_4:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/truediv_1' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_4:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/truediv_1:0' shape=(1, 512) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/sub_1' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/truediv_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/sub_1:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Square_3' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/sub_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Square_3:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Const_3' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Const_3:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Sum_3' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Square_3:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Const_3:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Sum_3:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/add_3/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add_3/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/add_3' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Sum_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add_3/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add_3:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Rsqrt_3' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Rsqrt_3:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_5' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/sub_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Rsqrt_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_5:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/ReadVariableOp_2' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/ReadVariableOp_2:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_8' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/ReadVariableOp_2:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_8:0' shape=(1, 4608) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_9' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_8:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_9:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_10' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_10:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_6' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_9:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_6:0' shape=(1, 4608) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/truediv_2' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_6:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_10:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/truediv_2:0' shape=(1, 4608) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_11' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_3:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_8:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_11:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_12' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_3:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_3:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_12:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_7' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_11:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_3:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_7:0' shape=(1, 4608) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/truediv_3' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_7:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_12:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/truediv_3:0' shape=(1, 4608) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/add_4' type=Add>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/truediv_3:0' shape=(1, 4608) dtype=float32>,
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['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/sub_2' type=Sub>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add_4:0' shape=(1, 4608) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/sub_2:0' shape=(1, 4608) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Square_4' type=Square>,
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     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Square_4:0' shape=(1, 4608) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Const_4' type=Const>,
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['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Sum_4' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Square_4:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Const_4:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Sum_4:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/add_5/y' type=Const>,
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['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/add_5' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Sum_4:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add_5/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add_5:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Rsqrt_4' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Rsqrt_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_8' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/sub_2:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Rsqrt_4:0' shape=(1, 1) dtype=float32>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_13' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_8:0' shape=(1, 4608) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_13:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_14' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_13:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_14:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_15' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_15:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_9' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_14:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_9:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/truediv_4' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_9:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_15:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/truediv_4:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_16' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_13:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_16:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_17' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_17:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_10' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_16:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_10:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/truediv_5' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_10:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_17:0' shape=(1, 1) dtype=float32>,
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['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/add_6' type=Add>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/truediv_5:0' shape=(1, 512) dtype=float32>,
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['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/sub_3' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_13:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/add_6:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/sub_3:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Square_5' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/sub_3:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Square_5:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Const_5' type=Const>,
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['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Sum_5' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Square_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Const_5:0' shape=(2,) dtype=int32>,
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['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/add_7/y' type=Const>,
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['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/add_7' type=Add>,
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['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Rsqrt_5' type=Rsqrt>,
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['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_11' type=Mul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Rsqrt_5:0' shape=(1, 1) dtype=float32>,
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['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/StopGradient' type=StopGradient>,
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     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/StopGradient:0' shape=(1, 512) dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/StopGradient_1' type=StopGradient>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_18' type=MatMul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_18:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_19' type=MatMul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/StopGradient:0' shape=(1, 512) dtype=float32>,
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['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Squeeze' type=Squeeze>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_20' type=MatMul>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_21' type=MatMul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_5:0' shape=(1, 512) dtype=float32>,
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['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Squeeze_1' type=Squeeze>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_22' type=MatMul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape:0' shape=(4608, 512) dtype=float32>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/MatMul_23' type=MatMul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_11:0' shape=(1, 512) dtype=float32>,
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['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Squeeze_2' type=Squeeze>,
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['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/norm/mul' type=Mul>,
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['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/norm/Const' type=Const>,
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['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/norm/Sum' type=Sum>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/norm/Const:0' shape=(2,) dtype=int32>,
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['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/norm/Sqrt' type=Sqrt>,
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     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/norm/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/norm/Squeeze' type=Squeeze>,
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     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/norm/Squeeze:0' shape=() dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Sqrt' type=Sqrt>,
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     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Sqrt:0' shape=() dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/StopGradient_2' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Sqrt:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/StopGradient_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/norm_1/mul' type=Mul>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape:0' shape=(4608, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/norm_1/mul:0' shape=(4608, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/norm_1/Const' type=Const>,
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     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/norm_1/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/norm_1/mul:0' shape=(4608, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/norm_1/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/norm_1/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/norm_1/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/norm_1/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/norm_1/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/norm_1/Squeeze:0' shape=() dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/truediv_6' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape:0' shape=(4608, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/truediv_6:0' shape=(4608, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/AssignVariableOp' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/StopGradient:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/ReadVariableOp_3' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/ReadVariableOp_3:0' shape=(1, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/AssignVariableOp_1' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/ReadVariableOp_4' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/ReadVariableOp_4:0' shape=(1, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/AssignVariableOp_2' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/mul_11:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/ReadVariableOp_5' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/ReadVariableOp_5:0' shape=(1, 512) dtype=float32>]}]
### UPDATED NORM ###



['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape_1/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape_1/shape:0' shape=(4,) dtype=int32>]},
     {'value': array([  3,   3, 512, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape_1' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/truediv_6:0' shape=(4608, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape_1/shape:0' shape=(4,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape_1:0' shape=(3, 3, 512, 512) dtype=float32>]}]
['Conv2D', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/convolution' type=Conv2D>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/Relu_2:0' shape=(1, 4, 4, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/Reshape_1:0' shape=(3, 3, 512, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/convolution:0' shape=(1, 4, 4, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/b/Initializer/zeros' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/b/Initializer/zeros:0' shape=(512,) dtype=float32>]},
     {'value': 0.0}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/b' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/b:0' shape=(512,) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/b/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/b:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/b/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/b/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/b:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv2/b/Initializer/zeros:0' shape=(512,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv2/b/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/b:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv2/b/Read/ReadVariableOp:0' shape=(512,) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/BiasAdd/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv2/b:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/BiasAdd/ReadVariableOp:0' shape=(512,) dtype=float32>]}]
['BiasAdd', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv2/BiasAdd' type=BiasAdd>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/convolution:0' shape=(1, 4, 4, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/BiasAdd/ReadVariableOp:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/BiasAdd:0' shape=(1, 4, 4, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Mean/reduction_indices' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Mean/reduction_indices:0' shape=(3,) dtype=int32>]},
     {'value': array([0, 1, 2], dtype=int32)}]
['Mean', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Mean' type=Mean>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/BiasAdd:0' shape=(1, 4, 4, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Mean/reduction_indices:0' shape=(3,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Mean:0' shape=(512,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/truediv/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/truediv/y:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/truediv' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Mean:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/truediv/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/truediv:0' shape=(512,) dtype=float32>]}]
['IdentityN', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/IdentityN' type=IdentityN>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/truediv:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/truediv:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/IdentityN:0' shape=(512,) dtype=float32>,
                  <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/IdentityN:1' shape=(512,) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Square' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/BiasAdd:0' shape=(1, 4, 4, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Square:0' shape=(1, 4, 4, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Mean_1/reduction_indices' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Mean_1/reduction_indices:0' shape=(3,) dtype=int32>]},
     {'value': array([0, 1, 2], dtype=int32)}]
['Mean', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Mean_1' type=Mean>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Square:0' shape=(1, 4, 4, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Mean_1/reduction_indices:0' shape=(3,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Mean_1:0' shape=(512,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/truediv_1/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/truediv_1/y:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/truediv_1' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Mean_1:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/truediv_1/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/truediv_1:0' shape=(512,) dtype=float32>]}]
['IdentityN', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/IdentityN_1' type=IdentityN>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/truediv_1:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/truediv_1:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/IdentityN_1:0' shape=(512,) dtype=float32>,
                  <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/IdentityN_1:1' shape=(512,) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Square_1' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/IdentityN:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Square_1:0' shape=(512,) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/sub' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/IdentityN_1:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Square_1:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/sub:0' shape=(512,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/random_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([512, 256], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/random_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/random_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/random_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RandomStandardNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/random_normal/RandomStandardNormal' type=RandomStandardNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/random_normal/RandomStandardNormal:0' shape=(512, 256) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/random_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/random_normal/RandomStandardNormal:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/random_normal/mul:0' shape=(512, 256) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/random_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/random_normal/mul:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/random_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/random_normal:0' shape=(512, 256) dtype=float32>]}]
['Qr', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/Qr' type=Qr>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/random_normal:0' shape=(512, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/Qr:0' shape=(512, 256) dtype=float32>,
                  <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/Qr:1' shape=(256, 256) dtype=float32>]}]
['DiagPart', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/DiagPart' type=DiagPart>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/Qr:1' shape=(256, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/DiagPart:0' shape=(256,) dtype=float32>]}]
['Sign', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/Sign' type=Sign>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/DiagPart:0' shape=(256,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/Sign:0' shape=(256,) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/Qr:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/Sign:0' shape=(256,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/mul:0' shape=(512, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/matrix_transpose/transpose/perm' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>]},
     {'value': array([1, 0], dtype=int32)}]
['Transpose', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/matrix_transpose/transpose' type=Transpose>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/mul:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/matrix_transpose/transpose:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([256, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/matrix_transpose/transpose:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/Reshape:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/mul_1/x' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/mul_1/x:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/mul_1/x:0' shape=() dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/mul_1:0' shape=(256, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w:0' shape=(256, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/scale/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/scale/w:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Initializer/mul_1:0' shape=(256, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/scale/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/w/Read/ReadVariableOp:0' shape=(256, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/scale/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape/ReadVariableOp:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([ -1, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape/ReadVariableOp:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape:0' shape=(256, 512) dtype=float32>]}]




### INIT NORM ###
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u0/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u0/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u0/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u0/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u0/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u0/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u0/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u0/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u0/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
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['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u0/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
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['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u0/Read/ReadVariableOp' type=ReadVariableOp>,
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     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u0/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u1/Initializer/truncated_normal/shape' type=Const>,
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['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u1/Initializer/truncated_normal/mean' type=Const>,
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['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u1/Initializer/truncated_normal/stddev' type=Const>,
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['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u1/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
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['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u1/Initializer/truncated_normal/mul' type=Mul>,
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     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
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['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u1/Initializer/truncated_normal' type=Add>,
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     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
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['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u1' type=Placeholder>,
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['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u1/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
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     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u1/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u1/Assign' type=AssignVariableOp>,
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     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u1/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
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['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u1/Read/ReadVariableOp' type=ReadVariableOp>,
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     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u1/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u2/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
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['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u2/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
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['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u2/Initializer/truncated_normal/stddev' type=Const>,
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['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u2/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u2/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
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['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u2/Initializer/truncated_normal' type=Add>,
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     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
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['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u2' type=Placeholder>,
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['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u2/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
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['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u2/Assign' type=AssignVariableOp>,
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['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/scale/u2/Read/ReadVariableOp' type=ReadVariableOp>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul' type=MatMul>,
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['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Square' type=Square>,
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['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Const' type=Const>,
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['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add/y' type=Const>,
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['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Rsqrt' type=Rsqrt>,
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['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul' type=Mul>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_1' type=MatMul>,
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['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Square_1' type=Square>,
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['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Const_1' type=Const>,
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['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_1/y' type=Const>,
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['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_1' type=Add>,
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['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Rsqrt_1' type=Rsqrt>,
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['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_1' type=Mul>,
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['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/ReadVariableOp_1' type=ReadVariableOp>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_2' type=MatMul>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_3' type=MatMul>,
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['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_4' type=MatMul>,
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['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_2' type=Mul>,
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['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/truediv' type=RealDiv>,
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['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/sub' type=Sub>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/truediv:0' shape=(1, 256) dtype=float32>,
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['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Square_2' type=Square>,
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     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Square_2:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Const_2' type=Const>,
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['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Sum_2' type=Sum>,
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['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_2/y' type=Const>,
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['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_2' type=Add>,
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     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_2/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_2:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Rsqrt_2' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Rsqrt_2:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_3' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/sub:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Rsqrt_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_3:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_5' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_5:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_6' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_6:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_7' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_7:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_4' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_6:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_4:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/truediv_1' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_4:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/truediv_1:0' shape=(1, 512) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/sub_1' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/truediv_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/sub_1:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Square_3' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/sub_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Square_3:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Const_3' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Const_3:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Sum_3' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Square_3:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Const_3:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Sum_3:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_3/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_3/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_3' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Sum_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_3/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_3:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Rsqrt_3' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Rsqrt_3:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_5' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/sub_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Rsqrt_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_5:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/ReadVariableOp_2' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/scale/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/ReadVariableOp_2:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_8' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/ReadVariableOp_2:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_8:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_9' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_8:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_9:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_10' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_10:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_6' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_9:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_6:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/truediv_2' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_6:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_10:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/truediv_2:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_11' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_8:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_11:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_12' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_12:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_7' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_11:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_7:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/truediv_3' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_7:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_12:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/truediv_3:0' shape=(1, 256) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_4' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/truediv_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/truediv_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_4:0' shape=(1, 256) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/sub_2' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_4:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/sub_2:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Square_4' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/sub_2:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Square_4:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Const_4' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Const_4:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Sum_4' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Square_4:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Const_4:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Sum_4:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_5/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_5/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_5' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Sum_4:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_5/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_5:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Rsqrt_4' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Rsqrt_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_8' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/sub_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Rsqrt_4:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_8:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_13' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_13:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_14' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_13:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_14:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_15' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_15:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_9' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_14:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_9:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/truediv_4' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_9:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_15:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/truediv_4:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_16' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_13:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_16:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_17' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_17:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_10' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_16:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_10:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/truediv_5' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_10:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_17:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/truediv_5:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_6' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/truediv_4:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/truediv_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_6:0' shape=(1, 512) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/sub_3' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_13:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_6:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/sub_3:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Square_5' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/sub_3:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Square_5:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Const_5' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Const_5:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Sum_5' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Square_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Const_5:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Sum_5:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_7/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_7/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_7' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Sum_5:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_7/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_7:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Rsqrt_5' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/add_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Rsqrt_5:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_11' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/sub_3:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Rsqrt_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_11:0' shape=(1, 512) dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/StopGradient' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/StopGradient:0' shape=(1, 512) dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/StopGradient_1' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/StopGradient_1:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_18' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/StopGradient_1:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_18:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_19' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_18:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/StopGradient:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_19:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_19:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Squeeze:0' shape=() dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_20' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_20:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_21' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_20:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_21:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Squeeze_1' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_21:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Squeeze_1:0' shape=() dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_22' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_22:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_23' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_22:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_11:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_23:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Squeeze_2' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_23:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Squeeze_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm/mul:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm/mul:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm/Squeeze:0' shape=() dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Sqrt:0' shape=() dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/StopGradient_2' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Sqrt:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/StopGradient_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm_1/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm_1/mul:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm_1/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm_1/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm_1/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm_1/mul:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm_1/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm_1/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm_1/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm_1/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm_1/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/norm_1/Squeeze:0' shape=() dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/truediv_6' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/truediv_6:0' shape=(256, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/AssignVariableOp' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/scale/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/StopGradient:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/ReadVariableOp_3' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/scale/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/ReadVariableOp_3:0' shape=(1, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/AssignVariableOp_1' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/scale/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/ReadVariableOp_4' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/scale/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/ReadVariableOp_4:0' shape=(1, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/AssignVariableOp_2' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/scale/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/mul_11:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/ReadVariableOp_5' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/scale/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/ReadVariableOp_5:0' shape=(1, 512) dtype=float32>]}]
### UPDATED NORM ###



['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape_1/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape_1/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([256, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape_1' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/truediv_6:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape_1/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape_1:0' shape=(256, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_24' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/concat:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/Reshape_1:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_24:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/add/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/add/y:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/add' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/scale/MatMul_24:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/add/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/add:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Reshape/shape:0' shape=(4,) dtype=int32>]},
     {'value': array([ -1,   1,   1, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/add:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Reshape/shape:0' shape=(4,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Reshape:0' shape=(1, 1, 1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/random_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([512, 256], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/random_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/random_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/random_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RandomStandardNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/random_normal/RandomStandardNormal' type=RandomStandardNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/random_normal/RandomStandardNormal:0' shape=(512, 256) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/random_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/random_normal/RandomStandardNormal:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/random_normal/mul:0' shape=(512, 256) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/random_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/random_normal/mul:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/random_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/random_normal:0' shape=(512, 256) dtype=float32>]}]
['Qr', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/Qr' type=Qr>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/random_normal:0' shape=(512, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/Qr:0' shape=(512, 256) dtype=float32>,
                  <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/Qr:1' shape=(256, 256) dtype=float32>]}]
['DiagPart', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/DiagPart' type=DiagPart>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/Qr:1' shape=(256, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/DiagPart:0' shape=(256,) dtype=float32>]}]
['Sign', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/Sign' type=Sign>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/DiagPart:0' shape=(256,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/Sign:0' shape=(256,) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/Qr:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/Sign:0' shape=(256,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/mul:0' shape=(512, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/matrix_transpose/transpose/perm' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>]},
     {'value': array([1, 0], dtype=int32)}]
['Transpose', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/matrix_transpose/transpose' type=Transpose>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/mul:0' shape=(512, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/matrix_transpose/transpose:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([256, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/matrix_transpose/transpose:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/Reshape:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/mul_1/x' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/mul_1/x:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/mul_1/x:0' shape=() dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/mul_1:0' shape=(256, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w:0' shape=(256, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/w:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Initializer/mul_1:0' shape=(256, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/w/Read/ReadVariableOp:0' shape=(256, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape/ReadVariableOp:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([ -1, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape/ReadVariableOp:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape:0' shape=(256, 512) dtype=float32>]}]




### INIT NORM ###
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u0/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u1/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  1, 512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Initializer/truncated_normal/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2:0' shape=(1, 512) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Initializer/truncated_normal:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/offset/u2/Read/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/ReadVariableOp:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/ReadVariableOp:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Square' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Square:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Square:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sum:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sum:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Rsqrt' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Rsqrt:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Rsqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_1' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_1:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Square_1' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Square_1:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Const_1' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Const_1:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sum_1' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Square_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Const_1:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sum_1:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_1/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_1/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_1' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sum_1:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_1/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_1:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Rsqrt_1' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_1:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Rsqrt_1:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Rsqrt_1:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_1:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/ReadVariableOp_1' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/ReadVariableOp_1:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_2' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/ReadVariableOp_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_2:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_3' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_2:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_3:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_4' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_2' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_2:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_4:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv:0' shape=(1, 256) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/sub' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/sub:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Square_2' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/sub:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Square_2:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Const_2' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Const_2:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sum_2' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Square_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Const_2:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sum_2:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_2/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_2/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_2' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sum_2:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_2/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_2:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Rsqrt_2' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Rsqrt_2:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_3' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/sub:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Rsqrt_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_3:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_5' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_5:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_6' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_6:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_7' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_7:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_4' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_6:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_4:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv_1' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_4:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv_1:0' shape=(1, 512) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/sub_1' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/sub_1:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Square_3' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/sub_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Square_3:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Const_3' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Const_3:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sum_3' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Square_3:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Const_3:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sum_3:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_3/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_3/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_3' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sum_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_3/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_3:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Rsqrt_3' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Rsqrt_3:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_5' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/sub_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Rsqrt_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_5:0' shape=(1, 512) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/ReadVariableOp_2' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/ReadVariableOp_2:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_8' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/ReadVariableOp_2:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_8:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_9' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_8:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_9:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_10' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_10:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_6' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_9:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_6:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv_2' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_6:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_10:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv_2:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_11' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_8:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_11:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_12' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_12:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_7' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_11:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_7:0' shape=(1, 256) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv_3' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_7:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_12:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv_3:0' shape=(1, 256) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_4' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv_3:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_4:0' shape=(1, 256) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/sub_2' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_4:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/sub_2:0' shape=(1, 256) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Square_4' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/sub_2:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Square_4:0' shape=(1, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Const_4' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Const_4:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sum_4' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Square_4:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Const_4:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sum_4:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_5/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_5/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_5' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sum_4:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_5/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_5:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Rsqrt_4' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Rsqrt_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_8' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/sub_2:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Rsqrt_4:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_8:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_13' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_13:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_14' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_13:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_14:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_15' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_15:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_9' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_14:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_9:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv_4' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_9:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_15:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv_4:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_16' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_13:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_16:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_17' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_17:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_10' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_16:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_10:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv_5' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_10:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_17:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv_5:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_6' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv_4:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_6:0' shape=(1, 512) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/sub_3' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_13:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_6:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/sub_3:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Square_5' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/sub_3:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Square_5:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Const_5' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Const_5:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sum_5' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Square_5:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Const_5:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sum_5:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_7/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_7/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_7' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sum_5:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_7/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_7:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Rsqrt_5' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/add_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Rsqrt_5:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_11' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/sub_3:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Rsqrt_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_11:0' shape=(1, 512) dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/StopGradient' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_1:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/StopGradient:0' shape=(1, 512) dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/StopGradient_1' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul:0' shape=(1, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/StopGradient_1:0' shape=(1, 256) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_18' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/StopGradient_1:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_18:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_19' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_18:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/StopGradient:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_19:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_19:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Squeeze:0' shape=() dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_20' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_3:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_20:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_21' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_20:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_21:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Squeeze_1' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_21:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Squeeze_1:0' shape=() dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_22' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_8:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_22:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_23' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_22:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_11:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_23:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Squeeze_2' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_23:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Squeeze_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm/mul:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm/mul:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm/Squeeze:0' shape=() dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sqrt:0' shape=() dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/StopGradient_2' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Sqrt:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/StopGradient_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm_1/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm_1/mul:0' shape=(256, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm_1/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm_1/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm_1/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm_1/mul:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm_1/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm_1/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm_1/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm_1/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm_1/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/norm_1/Squeeze:0' shape=() dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv_6' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv_6:0' shape=(256, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/AssignVariableOp' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/StopGradient:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/ReadVariableOp_3' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/ReadVariableOp_3:0' shape=(1, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/AssignVariableOp_1' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_5:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/ReadVariableOp_4' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/ReadVariableOp_4:0' shape=(1, 512) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/AssignVariableOp_2' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/mul_11:0' shape=(1, 512) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/ReadVariableOp_5' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/offset/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/ReadVariableOp_5:0' shape=(1, 512) dtype=float32>]}]
### UPDATED NORM ###



['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape_1/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape_1/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([256, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape_1' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/truediv_6:0' shape=(256, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape_1/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape_1:0' shape=(256, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_24' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/concat:0' shape=(1, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/Reshape_1:0' shape=(256, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_24:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Reshape_1/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Reshape_1/shape:0' shape=(4,) dtype=int32>]},
     {'value': array([ -1,   1,   1, 512], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Reshape_1' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/offset/MatMul_24:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Reshape_1/shape:0' shape=(4,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Reshape_1:0' shape=(1, 1, 1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/add/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/add/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/add' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/sub:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/add/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/add:0' shape=(512,) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/Rsqrt' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/add:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/Rsqrt:0' shape=(512,) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/Rsqrt:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Reshape:0' shape=(1, 1, 1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/mul:0' shape=(1, 1, 1, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv2/BiasAdd:0' shape=(1, 4, 4, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/mul:0' shape=(1, 1, 1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/mul_1:0' shape=(1, 4, 4, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/mul_2' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/IdentityN:0' shape=(512,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/mul:0' shape=(1, 1, 1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/mul_2:0' shape=(1, 1, 1, 512) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/sub' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Reshape_1:0' shape=(1, 1, 1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/mul_2:0' shape=(1, 1, 1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/sub:0' shape=(1, 1, 1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/add_1' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/mul_1:0' shape=(1, 4, 4, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/sub:0' shape=(1, 1, 1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/add_1:0' shape=(1, 4, 4, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulated_mean/Initializer/zeros' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulated_mean/Initializer/zeros:0' shape=(512,) dtype=float32>]},
     {'value': 0.0}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulated_mean' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulated_mean:0' shape=(512,) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulated_mean/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/accumulated_mean:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulated_mean/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulated_mean/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/accumulated_mean:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulated_mean/Initializer/zeros:0' shape=(512,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulated_mean/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/accumulated_mean:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulated_mean/Read/ReadVariableOp:0' shape=(512,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulated_var/Initializer/zeros' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulated_var/Initializer/zeros:0' shape=(512,) dtype=float32>]},
     {'value': 0.0}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulated_var' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulated_var:0' shape=(512,) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulated_var/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/accumulated_var:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulated_var/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulated_var/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/accumulated_var:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulated_var/Initializer/zeros:0' shape=(512,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulated_var/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/accumulated_var:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulated_var/Read/ReadVariableOp:0' shape=(512,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulation_counter/Initializer/zeros' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulation_counter/Initializer/zeros:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulation_counter' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulation_counter:0' shape=() dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulation_counter/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/accumulation_counter:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulation_counter/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulation_counter/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/accumulation_counter:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulation_counter/Initializer/zeros:0' shape=() dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulation_counter/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/accumulation_counter:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/BatchNorm_3/accumulation_counter/Read/ReadVariableOp:0' shape=() dtype=float32>]}]
['AssignAddVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/AssignAddVariableOp' type=AssignAddVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/accumulated_mean:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/IdentityN:0' shape=(512,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/accumulated_mean:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/ReadVariableOp:0' shape=(512,) dtype=float32>]}]
['AssignAddVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/AssignAddVariableOp_1' type=AssignAddVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/accumulated_var:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/sub:0' shape=(512,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/ReadVariableOp_1' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/accumulated_var:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/ReadVariableOp_1:0' shape=(512,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Const:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['AssignAddVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/AssignAddVariableOp_2' type=AssignAddVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/accumulation_counter:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/Const:0' shape=() dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/ReadVariableOp_2' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/BatchNorm_3/accumulation_counter:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/ReadVariableOp_2:0' shape=() dtype=float32>]}]
['NoOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/group_deps' type=NoOp>,
     {'outputs': []}]
['Relu', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/Relu_3' type=Relu>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/BatchNorm_3/batchnorm/add_1:0' shape=(1, 4, 4, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/Relu_3:0' shape=(1, 4, 4, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/w/Initializer/random_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([2048,  512], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/w/Initializer/random_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/random_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/w/Initializer/random_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RandomStandardNormal', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/w/Initializer/random_normal/RandomStandardNormal' type=RandomStandardNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/random_normal/RandomStandardNormal:0' shape=(2048, 512) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/w/Initializer/random_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/random_normal/RandomStandardNormal:0' shape=(2048, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/random_normal/mul:0' shape=(2048, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/w/Initializer/random_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/random_normal/mul:0' shape=(2048, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/random_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/random_normal:0' shape=(2048, 512) dtype=float32>]}]
['Qr', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/w/Initializer/Qr' type=Qr>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/random_normal:0' shape=(2048, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/Qr:0' shape=(2048, 512) dtype=float32>,
                  <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/Qr:1' shape=(512, 512) dtype=float32>]}]
['DiagPart', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/w/Initializer/DiagPart' type=DiagPart>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/Qr:1' shape=(512, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/DiagPart:0' shape=(512,) dtype=float32>]}]
['Sign', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/w/Initializer/Sign' type=Sign>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/DiagPart:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/Sign:0' shape=(512,) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/w/Initializer/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/Qr:0' shape=(2048, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/Sign:0' shape=(512,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/mul:0' shape=(2048, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/w/Initializer/matrix_transpose/transpose/perm' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>]},
     {'value': array([1, 0], dtype=int32)}]
['Transpose', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/w/Initializer/matrix_transpose/transpose' type=Transpose>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/mul:0' shape=(2048, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/matrix_transpose/transpose:0' shape=(512, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/w/Initializer/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/Reshape/shape:0' shape=(4,) dtype=int32>]},
     {'value': array([   1,    1,  512, 2048], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/w/Initializer/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/matrix_transpose/transpose:0' shape=(512, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/Reshape/shape:0' shape=(4,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/Reshape:0' shape=(1, 1, 512, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/w/Initializer/mul_1/x' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/mul_1/x:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/w/Initializer/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/mul_1/x:0' shape=() dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/Reshape:0' shape=(1, 1, 512, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/mul_1:0' shape=(1, 1, 512, 2048) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/w' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w:0' shape=(1, 1, 512, 2048) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/w/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/w/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/w:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Initializer/mul_1:0' shape=(1, 1, 512, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/w/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/w/Read/ReadVariableOp:0' shape=(1, 1, 512, 2048) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape/ReadVariableOp:0' shape=(1, 1, 512, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  -1, 2048], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape/ReadVariableOp:0' shape=(1, 1, 512, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape:0' shape=(512, 2048) dtype=float32>]}]




### INIT NORM ###
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u0/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([   1, 2048], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u0/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u0/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u0/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 2048) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u0/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u0/Initializer/truncated_normal/mul:0' shape=(1, 2048) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u0/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u0/Initializer/truncated_normal/mul:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u0/Initializer/truncated_normal:0' shape=(1, 2048) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u0' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u0:0' shape=(1, 2048) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u0/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u0/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u0/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u0/Initializer/truncated_normal:0' shape=(1, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u0/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u0/Read/ReadVariableOp:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u1/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([   1, 2048], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u1/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u1/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u1/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 2048) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u1/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u1/Initializer/truncated_normal/mul:0' shape=(1, 2048) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u1/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u1/Initializer/truncated_normal/mul:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u1/Initializer/truncated_normal:0' shape=(1, 2048) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u1' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u1:0' shape=(1, 2048) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u1/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u1/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u1/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u1/Initializer/truncated_normal:0' shape=(1, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u1/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u1/Read/ReadVariableOp:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u2/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([   1, 2048], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u2/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u2/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u2/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 2048) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u2/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u2/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u2/Initializer/truncated_normal/mul:0' shape=(1, 2048) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u2/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u2/Initializer/truncated_normal/mul:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u2/Initializer/truncated_normal:0' shape=(1, 2048) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u2' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u2:0' shape=(1, 2048) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u2/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u2/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u2/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u2/Initializer/truncated_normal:0' shape=(1, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/u2/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/u2/Read/ReadVariableOp:0' shape=(1, 2048) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/ReadVariableOp:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/ReadVariableOp:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape:0' shape=(512, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Square' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Square:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Square:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Sum:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/add/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/add' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Sum:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Rsqrt' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Rsqrt:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Rsqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_1' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape:0' shape=(512, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_1:0' shape=(1, 2048) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Square_1' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Square_1:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Const_1' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Const_1:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Sum_1' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Square_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Const_1:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Sum_1:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/add_1/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_1/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/add_1' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Sum_1:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_1/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_1:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Rsqrt_1' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_1:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Rsqrt_1:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Rsqrt_1:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_1:0' shape=(1, 2048) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/ReadVariableOp_1' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/ReadVariableOp_1:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_2' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/ReadVariableOp_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape:0' shape=(512, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_2:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_3' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_2:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_3:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_4' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_2' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_2:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_2:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_4:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv:0' shape=(1, 512) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/sub' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_2:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/sub:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Square_2' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/sub:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Square_2:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Const_2' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Const_2:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Sum_2' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Square_2:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Const_2:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Sum_2:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/add_2/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_2/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/add_2' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Sum_2:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_2/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_2:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Rsqrt_2' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Rsqrt_2:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_3' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/sub:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Rsqrt_2:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_3:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_5' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_3:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape:0' shape=(512, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_5:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_6' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_5:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_6:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_7' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_7:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_4' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_6:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_4:0' shape=(1, 2048) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv_1' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_4:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv_1:0' shape=(1, 2048) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/sub_1' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_5:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/sub_1:0' shape=(1, 2048) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Square_3' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/sub_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Square_3:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Const_3' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Const_3:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Sum_3' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Square_3:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Const_3:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Sum_3:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/add_3/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_3/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/add_3' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Sum_3:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_3/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_3:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Rsqrt_3' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Rsqrt_3:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_5' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/sub_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Rsqrt_3:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_5:0' shape=(1, 2048) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/ReadVariableOp_2' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/ReadVariableOp_2:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_8' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/ReadVariableOp_2:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape:0' shape=(512, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_8:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_9' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_8:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_9:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_10' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_10:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_6' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_9:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_6:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv_2' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_6:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_10:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv_2:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_11' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_3:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_8:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_11:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_12' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_3:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_3:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_12:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_7' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_11:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_3:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_7:0' shape=(1, 512) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv_3' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_7:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_12:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv_3:0' shape=(1, 512) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/add_4' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv_2:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv_3:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_4:0' shape=(1, 512) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/sub_2' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_8:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_4:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/sub_2:0' shape=(1, 512) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Square_4' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/sub_2:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Square_4:0' shape=(1, 512) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Const_4' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Const_4:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Sum_4' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Square_4:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Const_4:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Sum_4:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/add_5/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_5/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/add_5' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Sum_4:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_5/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_5:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Rsqrt_4' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Rsqrt_4:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_8' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/sub_2:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Rsqrt_4:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_8:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_13' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_8:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape:0' shape=(512, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_13:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_14' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_13:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_14:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_15' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_1:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_15:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_9' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_14:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_9:0' shape=(1, 2048) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv_4' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_9:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_15:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv_4:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_16' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_5:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_13:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_16:0' shape=(1, 1) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_17' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_5:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_5:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_17:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_10' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_16:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_5:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_10:0' shape=(1, 2048) dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv_5' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_10:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_17:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv_5:0' shape=(1, 2048) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/add_6' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv_4:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv_5:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_6:0' shape=(1, 2048) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/sub_3' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_13:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_6:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/sub_3:0' shape=(1, 2048) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Square_5' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/sub_3:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Square_5:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Const_5' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Const_5:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Sum_5' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Square_5:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Const_5:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Sum_5:0' shape=(1, 1) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/add_7/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_7/y:0' shape=() dtype=float32>]},
     {'value': 9.999999747378752e-05}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/add_7' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Sum_5:0' shape=(1, 1) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_7/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_7:0' shape=(1, 1) dtype=float32>]}]
['Rsqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Rsqrt_5' type=Rsqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/add_7:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Rsqrt_5:0' shape=(1, 1) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_11' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/sub_3:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Rsqrt_5:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_11:0' shape=(1, 2048) dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/StopGradient' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_1:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/StopGradient:0' shape=(1, 2048) dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/StopGradient_1' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul:0' shape=(1, 512) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/StopGradient_1:0' shape=(1, 512) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_18' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/StopGradient_1:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape:0' shape=(512, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_18:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_19' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_18:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/StopGradient:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_19:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_19:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Squeeze:0' shape=() dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_20' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_3:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape:0' shape=(512, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_20:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_21' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_20:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_5:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_21:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Squeeze_1' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_21:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Squeeze_1:0' shape=() dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_22' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_8:0' shape=(1, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape:0' shape=(512, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_22:0' shape=(1, 2048) dtype=float32>]}]
['MatMul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_23' type=MatMul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_22:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_11:0' shape=(1, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_23:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Squeeze_2' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/MatMul_23:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Squeeze_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/norm/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape:0' shape=(512, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape:0' shape=(512, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/norm/mul:0' shape=(512, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/norm/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/norm/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/norm/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/norm/mul:0' shape=(512, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/norm/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/norm/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/norm/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/norm/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/norm/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/norm/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/norm/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/norm/Squeeze:0' shape=() dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/norm/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Sqrt:0' shape=() dtype=float32>]}]
['StopGradient', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/StopGradient_2' type=StopGradient>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Sqrt:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/StopGradient_2:0' shape=() dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/norm_1/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape:0' shape=(512, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape:0' shape=(512, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/norm_1/mul:0' shape=(512, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/norm_1/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/norm_1/Const:0' shape=(2,) dtype=int32>]},
     {'value': array([0, 1], dtype=int32)}]
['Sum', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/norm_1/Sum' type=Sum>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/norm_1/mul:0' shape=(512, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/norm_1/Const:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/norm_1/Sum:0' shape=(1, 1) dtype=float32>]}]
['Sqrt', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/norm_1/Sqrt' type=Sqrt>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/norm_1/Sum:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>]}]
['Squeeze', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/norm_1/Squeeze' type=Squeeze>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/norm_1/Sqrt:0' shape=(1, 1) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/norm_1/Squeeze:0' shape=() dtype=float32>]}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv_6' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape:0' shape=(512, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Squeeze:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv_6:0' shape=(512, 2048) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/AssignVariableOp' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/StopGradient:0' shape=(1, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/ReadVariableOp_3' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/ReadVariableOp_3:0' shape=(1, 2048) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/AssignVariableOp_1' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_5:0' shape=(1, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/ReadVariableOp_4' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/ReadVariableOp_4:0' shape=(1, 2048) dtype=float32>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/AssignVariableOp_2' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/u2:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/mul_11:0' shape=(1, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/ReadVariableOp_5' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/u2:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/ReadVariableOp_5:0' shape=(1, 2048) dtype=float32>]}]
### UPDATED NORM ###



['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape_1/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape_1/shape:0' shape=(4,) dtype=int32>]},
     {'value': array([   1,    1,  512, 2048], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape_1' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/truediv_6:0' shape=(512, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape_1/shape:0' shape=(4,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape_1:0' shape=(1, 1, 512, 2048) dtype=float32>]}]
['Conv2D', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/convolution' type=Conv2D>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/Relu_3:0' shape=(1, 4, 4, 512) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/Reshape_1:0' shape=(1, 1, 512, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/convolution:0' shape=(1, 4, 4, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/b/Initializer/zeros/shape_as_tensor' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/b/Initializer/zeros/shape_as_tensor:0' shape=(1,) dtype=int32>]},
     {'value': 2048}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/b/Initializer/zeros/Const' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/b/Initializer/zeros/Const:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Fill', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/b/Initializer/zeros' type=Fill>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/b/Initializer/zeros/shape_as_tensor:0' shape=(1,) dtype=int32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/b/Initializer/zeros/Const:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/b/Initializer/zeros:0' shape=(2048,) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/b' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/b:0' shape=(2048,) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/b/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/b:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/b/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/b/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/b:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock/conv3/b/Initializer/zeros:0' shape=(2048,) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock/conv3/b/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/b:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock/conv3/b/Read/ReadVariableOp:0' shape=(2048,) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/BiasAdd/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock/conv3/b:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/BiasAdd/ReadVariableOp:0' shape=(2048,) dtype=float32>]}]
['BiasAdd', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/conv3/BiasAdd' type=BiasAdd>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/convolution:0' shape=(1, 4, 4, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/BiasAdd/ReadVariableOp:0' shape=(2048,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/BiasAdd:0' shape=(1, 4, 4, 2048) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock/add' type=Add>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/conv3/BiasAdd:0' shape=(1, 4, 4, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GenZ/Reshape:0' shape=(1, 4, 4, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/add:0' shape=(1, 4, 4, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/Mean/reduction_indices' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/Mean/reduction_indices:0' shape=(3,) dtype=int32>]},
     {'value': array([0, 1, 2], dtype=int32)}]
['Mean', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/Mean' type=Mean>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/add:0' shape=(1, 4, 4, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/Mean/reduction_indices:0' shape=(3,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/Mean:0' shape=(2048,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/truediv/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/truediv/y:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/truediv' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/Mean:0' shape=(2048,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/truediv/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/truediv:0' shape=(2048,) dtype=float32>]}]
['IdentityN', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/IdentityN' type=IdentityN>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/truediv:0' shape=(2048,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/truediv:0' shape=(2048,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/IdentityN:0' shape=(2048,) dtype=float32>,
                  <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/IdentityN:1' shape=(2048,) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/Square' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock/add:0' shape=(1, 4, 4, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/Square:0' shape=(1, 4, 4, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/Mean_1/reduction_indices' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/Mean_1/reduction_indices:0' shape=(3,) dtype=int32>]},
     {'value': array([0, 1, 2], dtype=int32)}]
['Mean', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/Mean_1' type=Mean>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/Square:0' shape=(1, 4, 4, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/Mean_1/reduction_indices:0' shape=(3,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/Mean_1:0' shape=(2048,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/truediv_1/y' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/truediv_1/y:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RealDiv', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/truediv_1' type=RealDiv>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/Mean_1:0' shape=(2048,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/truediv_1/y:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/truediv_1:0' shape=(2048,) dtype=float32>]}]
['IdentityN', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/IdentityN_1' type=IdentityN>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/truediv_1:0' shape=(2048,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/truediv_1:0' shape=(2048,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/IdentityN_1:0' shape=(2048,) dtype=float32>,
                  <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/IdentityN_1:1' shape=(2048,) dtype=float32>]}]
['Square', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/Square_1' type=Square>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/IdentityN:0' shape=(2048,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/Square_1:0' shape=(2048,) dtype=float32>]}]
['Sub', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/sub' type=Sub>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/IdentityN_1:0' shape=(2048,) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/Square_1:0' shape=(2048,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/sub:0' shape=(2048,) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/random_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([2048,  256], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/random_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/random_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/random_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['RandomStandardNormal', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/random_normal/RandomStandardNormal' type=RandomStandardNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/random_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/random_normal/RandomStandardNormal:0' shape=(2048, 256) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/random_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/random_normal/RandomStandardNormal:0' shape=(2048, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/random_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/random_normal/mul:0' shape=(2048, 256) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/random_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/random_normal/mul:0' shape=(2048, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/random_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/random_normal:0' shape=(2048, 256) dtype=float32>]}]
['Qr', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/Qr' type=Qr>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/random_normal:0' shape=(2048, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/Qr:0' shape=(2048, 256) dtype=float32>,
                  <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/Qr:1' shape=(256, 256) dtype=float32>]}]
['DiagPart', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/DiagPart' type=DiagPart>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/Qr:1' shape=(256, 256) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/DiagPart:0' shape=(256,) dtype=float32>]}]
['Sign', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/Sign' type=Sign>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/DiagPart:0' shape=(256,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/Sign:0' shape=(256,) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/Qr:0' shape=(2048, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/Sign:0' shape=(256,) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/mul:0' shape=(2048, 256) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/matrix_transpose/transpose/perm' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>]},
     {'value': array([1, 0], dtype=int32)}]
['Transpose', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/matrix_transpose/transpose' type=Transpose>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/mul:0' shape=(2048, 256) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/matrix_transpose/transpose/perm:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/matrix_transpose/transpose:0' shape=(256, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([ 256, 2048], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/matrix_transpose/transpose:0' shape=(256, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/Reshape:0' shape=(256, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/mul_1/x' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/mul_1/x:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/mul_1' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/mul_1/x:0' shape=() dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/Reshape:0' shape=(256, 2048) dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/mul_1:0' shape=(256, 2048) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w:0' shape=(256, 2048) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock_1/BatchNorm/scale/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock_1/BatchNorm/scale/w:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Initializer/mul_1:0' shape=(256, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock_1/BatchNorm/scale/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/w/Read/ReadVariableOp:0' shape=(256, 2048) dtype=float32>]}]
['ReadVariableOp', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/scale/Reshape/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock_1/BatchNorm/scale/w:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/scale/Reshape/ReadVariableOp:0' shape=(256, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/scale/Reshape/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/scale/Reshape/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([  -1, 2048], dtype=int32)}]
['Reshape', <tf.Operation 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/scale/Reshape' type=Reshape>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/scale/Reshape/ReadVariableOp:0' shape=(256, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/scale/Reshape/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/collect/body/Generator/GBlock_1/BatchNorm/scale/Reshape:0' shape=(256, 2048) dtype=float32>]}]




### INIT NORM ###
['Const', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([   1, 2048], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 2048) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Initializer/truncated_normal/mul:0' shape=(1, 2048) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Initializer/truncated_normal/mul:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Initializer/truncated_normal:0' shape=(1, 2048) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0:0' shape=(1, 2048) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock_1/BatchNorm/scale/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock_1/BatchNorm/scale/u0:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Initializer/truncated_normal:0' shape=(1, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock_1/BatchNorm/scale/u0:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u0/Read/ReadVariableOp:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([   1, 2048], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Initializer/truncated_normal/TruncatedNormal' type=TruncatedNormal>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 2048) dtype=float32>]}]
['Mul', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Initializer/truncated_normal/mul' type=Mul>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Initializer/truncated_normal/TruncatedNormal:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Initializer/truncated_normal/mul:0' shape=(1, 2048) dtype=float32>]}]
['Add', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Initializer/truncated_normal' type=Add>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Initializer/truncated_normal/mul:0' shape=(1, 2048) dtype=float32>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Initializer/truncated_normal/mean:0' shape=() dtype=float32>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Initializer/truncated_normal:0' shape=(1, 2048) dtype=float32>]}]
['Placeholder', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1' type=Placeholder>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1:0' shape=(1, 2048) dtype=resource>]}]
['VarIsInitializedOp', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/IsInitialized/VarIsInitializedOp' type=VarIsInitializedOp>,
     <tf.Tensor 'module/Generator/GBlock_1/BatchNorm/scale/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/IsInitialized/VarIsInitializedOp:0' shape=() dtype=bool>]}]
['AssignVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Assign' type=AssignVariableOp>,
     <tf.Tensor 'module/Generator/GBlock_1/BatchNorm/scale/u1:0' shape=() dtype=resource>,
     <tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Initializer/truncated_normal:0' shape=(1, 2048) dtype=float32>,
     {'outputs': []}]
['ReadVariableOp', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Read/ReadVariableOp' type=ReadVariableOp>,
     <tf.Tensor 'module/Generator/GBlock_1/BatchNorm/scale/u1:0' shape=() dtype=resource>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u1/Read/ReadVariableOp:0' shape=(1, 2048) dtype=float32>]}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u2/Initializer/truncated_normal/shape' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u2/Initializer/truncated_normal/shape:0' shape=(2,) dtype=int32>]},
     {'value': array([   1, 2048], dtype=int32)}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u2/Initializer/truncated_normal/mean' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u2/Initializer/truncated_normal/mean:0' shape=() dtype=float32>]},
     {'value': 0.0}]
['Const', <tf.Operation 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u2/Initializer/truncated_normal/stddev' type=Const>,
     {'outputs': [<tf.Tensor 'module_apply_default/Generator/GBlock_1/BatchNorm/scale/u2/Initializer/truncated_normal/stddev:0' shape=() dtype=float32>]},
     {'value': 1.0}]
['TruncatedNormal', <tf