Update docs

Author: Laicheng0830

.github/ISSUE_TEMPLATE.md

@@ -22,12 +22,11 @@
 import tensorflow as tf
 import tensorlayerx as tl
 
-x = tf.placeholder(tf.float32, [None, 64])
-net_in = tensorlayerx.layers.InputLayer(x)
+net_in = tl.layers.Input((3, 64))
 
-net = tensorlayerx.layers.DenseLayer(net_in, n_units=25, act=tf.nn.relu, name='relu1')
+net = tl.nn.Linear(out_features=25, in_features=64, act='relu')
 
-print("Output Shape:", net.outputs.get_shape().as_list()) ### Output Shape: [None, 25]
+print("Output Shape:", net(net_in).shape) ### Output Shape: [None, 25]
 
 # ======================================================== #
 ###### THIS CODE IS AN EXAMPLE, REPLACE WITH YOUR OWN ######

docs/modules/nn.rst

@@ -14,7 +14,7 @@ Layer list
 
    Module
 
-   SequentialLayer
+   Sequential
 
    Input
 
@@ -34,8 +34,8 @@ Layer list
    Conv1d
    Conv2d
    Conv3d
-   DeConv2d
-   DeConv3d
+   ConvTranspose2d
+   ConvTranspose3d
    DepthwiseConv2d
    SeparableConv1d
    SeparableConv2d
@@ -127,7 +127,7 @@ Module
 
 Sequential Layer
 ^^^^^^^^^^^^^^^^
-.. autoclass:: SequentialLayer
+.. autoclass:: Sequential
 
 .. -----------------------------------------------------------
 ..                        Input Layer
@@ -187,13 +187,13 @@ Conv3d
 Deconvolutions
 ^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-DeConv2d
+ConvTranspose2d
 """""""""""""""""""""
-.. autoclass:: DeConv2d
+.. autoclass:: ConvTranspose2d
 
-DeConv3d
+ConvTranspose3d
 """""""""""""""""""""
-.. autoclass:: DeConv3d
+.. autoclass:: ConvTranspose3d
 
 
 Deformable Convolutions

docs/user/examples.rst

@@ -25,8 +25,8 @@ Basics
  - Convolutional Network (CIFAR-10), simple usage and supports multiple backends. Classification task, see `cifar10_cnn.py <https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/cifar10_cnn.py>`__.
  - Recurrent Neural Network (IMDB), simple usage and supports multiple backends. Text classification task, see `imdb_LSTM_simple.py <https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/imdb_LSTM_simple.py>`__.
  - Using tensorlayerx to automatic inference input shape. See `automatic_inference_input _shape.py <https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/automatic_inference_input%20_shape.py>`__.
- - Using Layerlist in tensorlayerx. See `tutorial_LayerList.py <https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/tutorial_LayerList.py>`__.
- - Using SequentialLayer in tensorlayerx. See `mnist_SequentialLayer.py <https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/mnist_SequentialLayer.py>`__.
+ - Using ModuleList in tensorlayerx. See `tutorial_ModuleList.py <https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/tutorial_ModuleList.py>`__.
+ - Using Sequential in tensorlayerx. See `mnist_Sequential.py <https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/mnist_Sequential.py>`__.
  - Using Dataflow in tensorlayerx. See `mnist_dataflow.py <https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/mnist_dataflow.py>`__.
  - Using nested layer in tensorlayerx. See `nested_usage_of_layer.py <https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/nested_usage_of_layer.py>`__.
  - Using tensorlayerx to save tensorflow model to pb. See `tensorflow_model_save_to_pb.py <https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/tensorflow_model_save_to_pb.py>`__.

docs/user/get_start_model.rst

@@ -12,7 +12,7 @@ Sequential model
 
 .. code-block:: python
 
-  from tensorlayerx.nn import SequentialLayer
+  from tensorlayerx.nn import Sequential
   from tensorlayerx.nn import Linear
   import tensorlayerx as tlx
 
@@ -21,7 +21,7 @@ Sequential model
       layer_list.append(Linear(out_features=800, act=tlx.ReLU, in_features=784, name='Linear1'))
       layer_list.append(Linear(out_features=800, act=tlx.ReLU, in_features=800, name='Linear2'))
       layer_list.append(Linear(out_features=10, act=tlx.ReLU, in_features=800, name='Linear3'))
-      MLP = SequentialLayer(layer_list)
+      MLP = Sequential(layer_list)
       return MLP
 
 

examples/basic_tutorials/README.md

@@ -4,8 +4,8 @@ Please read this [DOCS](https://tensorlayerx.readthedocs.io/en/latest/user/get_s
 
 ## Define a model
 TensorLayerX provides Sequential and Subclass define a model. Sequential model allows you to build model in a fluent way while Subclass allows you to fully control the forward process.
-- [Sequential Model](https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/mnist_SequentialLayer.py)
-- [Layer List](https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/tutorial_LayerList.py)
+- [Sequential Model](https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/mnist_Sequential.py)
+- [Module List](https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/tutorial_ModuleList.py)
 - [Nested Usage of Layer](https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/nested_usage_of_layer.py) 
 - [Automatic Inference Input Shape](https://github.com/tensorlayer/TensorLayerX/blob/main/examples/basic_tutorials/automatic_inference_input_shape.py)
 

examples/basic_tutorials/mnist_SequentialLayer.py renamed to examples/basic_tutorials/mnist_Sequential.py

@@ -5,7 +5,7 @@
 # os.environ['TL_BACKEND'] = 'mindspore'
 os.environ['TL_BACKEND'] = 'paddle'
 
-from tensorlayerx.nn import SequentialLayer
+from tensorlayerx.nn import Sequential
 from tensorlayerx.nn import Linear
 import tensorlayerx as tlx
 from tensorlayerx.dataflow import Dataset
@@ -14,7 +14,7 @@
 layer_list.append(Linear(out_features=800, act=tlx.ReLU, in_features=784, name='linear1'))
 layer_list.append(Linear(out_features=800, act=tlx.ReLU, in_features=800, name='linear2'))
 layer_list.append(Linear(out_features=10, act=tlx.ReLU, in_features=800, name='linear3'))
-MLP = SequentialLayer(layer_list)
+MLP = Sequential(layer_list)
 
 X_train, y_train, X_val, y_val, X_test, y_test = tlx.files.load_mnist_dataset(shape=(-1, 784))
 

examples/basic_tutorials/nested_usage_of_layer.py

@@ -7,7 +7,7 @@
 import numpy as np
 import tensorflow as tf
 
-from tensorlayerx.nn import Module, SequentialLayer
+from tensorlayerx.nn import Module, Sequential
 import tensorlayerx as tlx
 from tensorlayerx.nn import (Conv2d, Linear, Flatten, MaxPool2d, BatchNorm2d, Elementwise)
 from tensorlayerx.dataflow import Dataset, DataLoader
@@ -86,7 +86,7 @@ def make_layer(self, in_channel):
             range_block = Block(in_channel)
             layers.append(range_block)
 
-        return SequentialLayer(layers)
+        return Sequential(layers)
 
 
 # get the network

examples/basic_tutorials/tutorial_LayerList.py renamed to examples/basic_tutorials/tutorial_ModuleList.py

@@ -6,14 +6,14 @@
 # os.environ['TL_BACKEND'] = 'mindspore'
 os.environ['TL_BACKEND'] = 'paddle'
 
-from tensorlayerx.nn import Module, LayerList, Linear
+from tensorlayerx.nn import Module, ModuleList, Linear
 import tensorlayerx as tlx
 
 d1 = Linear(out_features=800, act=tlx.ReLU, in_features=784, name='linear1')
 d2 = Linear(out_features=800, act=tlx.ReLU, in_features=800, name='linear2')
 d3 = Linear(out_features=10, act=tlx.ReLU, in_features=800, name='linear3')
 
-layer_list = LayerList([d1, d2])
+layer_list = ModuleList([d1, d2])
 # Inserts a given d2 before a given index in the list
 layer_list.insert(1, d2)
 layer_list.insert(2, d2)

examples/model_zoo/resnet.py

@@ -15,7 +15,7 @@
 from tensorlayerx import logging
 from tensorlayerx.files import (maybe_download_and_extract)
 from tensorlayerx.nn import (BatchNorm, Conv2d, Linear, Elementwise, GlobalMeanPool2d, MaxPool2d)
-from tensorlayerx.nn import Module, SequentialLayer
+from tensorlayerx.nn import Module, Sequential
 
 __all__ = [
     'ResNet50',
@@ -165,7 +165,7 @@ def make_layer(self):
 
             if block_name == self.end_with:
                 break
-        return SequentialLayer(layer_list)
+        return Sequential(layer_list)
 
 
 def ResNet50(pretrained=False, end_with='fc1000', n_classes=1000):

examples/model_zoo/vgg.py

@@ -34,7 +34,7 @@
 import tensorlayerx as tlx
 from tensorlayerx import logging
 from tensorlayerx.files import assign_weights, maybe_download_and_extract
-from tensorlayerx.nn import (BatchNorm, Conv2d, Linear, Flatten, SequentialLayer, MaxPool2d)
+from tensorlayerx.nn import (BatchNorm, Conv2d, Linear, Flatten, Sequential, MaxPool2d)
 from tensorlayerx.nn import Module
 
 __all__ = [
@@ -149,7 +149,7 @@ def make_layers(config, batch_norm=False, end_with='outputs'):
                 is_end = True
         if is_end:
             break
-    return SequentialLayer(layer_list)
+    return Sequential(layer_list)
 
 
 def restore_model(model, layer_type):