yapf

Author: Laicheng0830

examples/basic_tutorials/tutorial_SequentialLayer.py

@@ -1,4 +1,4 @@
-#!/usr/bin/env python3
+#! /usr/bin/python
 # -*- coding: utf-8 -*-
 
 from tensorlayer.layers import SequentialLayer

examples/basic_tutorials/tutorial_automatic_inference_input _shape.py

@@ -1,4 +1,4 @@
-#!/usr/bin/env python3
+#! /usr/bin/python
 # -*- coding: utf-8 -*-
 
 import numpy as np

examples/basic_tutorials/tutorial_cifar10_cnn_mindspore_backend.py

@@ -1,4 +1,4 @@
-#!/usr/bin/env python3
+#! /usr/bin/python
 # -*- coding: utf-8 -*-
 
 import os

examples/basic_tutorials/tutorial_cifar10_cnn_tensorflow_backend.py

@@ -1,4 +1,4 @@
-#!/usr/bin/env python3
+#! /usr/bin/python
 # -*- coding: utf-8 -*-
 # The tensorlayer and tensorflow operators can be mixed
 

examples/basic_tutorials/tutorial_dataflow.py

@@ -1,5 +1,6 @@
 #! /usr/bin/python
 # -*- coding: utf-8 -*-
+
 import os
 os.environ['TL_BACKEND'] = 'tensorflow'
 # os.environ['TL_BACKEND'] = 'mindspore'

examples/basic_tutorials/tutorial_mnist_mlp_mindspore_backend.py

@@ -1,12 +1,10 @@
-#!/usr/bin/env python3
+#! /usr/bin/python
 # -*- coding: utf-8 -*-
-import mindspore.nn as nn
+
 import mindspore.ops.operations as P
 from mindspore.ops import composite as C
-from mindspore.common import dtype as mstype
-from mindspore import context, Tensor, ParameterTuple
-from mindspore.common.initializer import TruncatedNormal
-from mindspore.nn import SoftmaxCrossEntropyWithLogits, Momentum, WithLossCell
+from mindspore import ParameterTuple
+from mindspore.nn import Momentum, WithLossCell
 
 import numpy as np
 import tensorlayer as tl

examples/basic_tutorials/tutorial_mnist_mlp_paddlepaddle_backend.py

@@ -1,6 +1,7 @@
 #! /usr/bin/python
 # -*- coding: utf-8 -*-
 # The tensorlayer and Paddle operators can be mixed
+
 import os
 os.environ['TL_BACKEND'] = 'paddle'
 

examples/basic_tutorials/tutorial_mnist_mlp_tensorflow_backend.py

@@ -1,4 +1,4 @@
-#!/usr/bin/env python3
+#! /usr/bin/python
 # -*- coding: utf-8 -*-
 # The tensorlayer and tensorflow operators can be mixed
 

examples/basic_tutorials/tutorial_mnist_simple.py

@@ -1,12 +1,12 @@
-#!/usr/bin/env python3
+#! /usr/bin/python
 # -*- coding: utf-8 -*-
 
 # The same set of code can switch the backend with one line
 import os
 os.environ['TL_BACKEND'] = 'tensorflow'
 # os.environ['TL_BACKEND'] = 'mindspore'
 # os.environ['TL_BACKEND'] = 'paddle'
-import numpy as np
+
 import tensorlayer as tl
 from tensorlayer.layers import Module
 from tensorlayer.layers import Dense, Dropout, Flatten
@@ -68,7 +68,7 @@ def forward(self, x, foo=None):
 
 
 train_weights = MLP.trainable_weights
-optimizer = tl.optimizers.Momentum(0.001, 0.9)
+optimizer = tl.optimizers.Momentum(0.05, 0.9)
 metric = tl.metric.Accuracy()
 train_dataset = mnistdataset(data = X_train, label = y_train ,transform = transform)
 train_dataset = tl.dataflow.FromGenerator(train_dataset, output_types=[tl.float32, tl.int64], column_names=['data', 'label'])

examples/basic_tutorials/tutorial_nested_usage_of_Layer.py

@@ -1,4 +1,4 @@
-#!/usr/bin/env python3
+#! /usr/bin/python
 # -*- coding: utf-8 -*-
 
 import time