Run doc test on travis CI for CN doc

.gitignore

@@ -1,6 +1,8 @@
+.DS_Store
+/.pytest_cache
+/docs/test_build
 docs/_build
 tensorlayer/__pycache__
 tensorlayer/*pyc
-tensorlayer/layers/*pyc
-.DS_Store
 tensorlayer/cli/__pycache__
+tensorlayer/layers/*pyc

.travis.yml

@@ -0,0 +1,13 @@
+# https://docs.travis-ci.com/user/languages/python/
+language: python
+
+python:
+  - '3.6'
+
+install:
+  - pip install tensorflow
+  - pip install yapf
+  - pip install -r requirements/requirements_doc.txt
+
+script:
+  - ./tests/test_documentation.py

docs/modules/distributed.rst

@@ -146,7 +146,7 @@ TensorFlow提供了一些 `Session Hooks <https://www.tensorflow.org/api_guides/
 来对sessions做操作，我们在这里加更多的helper来实现更多的常规操作。
 
 Stop after maximum time
-^^^^^^^^^^^^^^^^^^^^^^
+^^^^^^^^^^^^^^^^^^^^^^^
 
 .. autofunction:: StopAtTimeHook
 

docs/modules/files.rst

@@ -156,7 +156,7 @@ Google Drive
 .. autofunction:: save_npz
 
 从save_npz加载模型参数列表
-^^^^^^^^^^^^^^^^^^^^^^^^^
+^^^^^^^^^^^^^^^^^^^^^^^^^^
 .. autofunction:: load_npz
 
 把模型参数载入模型
@@ -173,14 +173,14 @@ Google Drive
 .. autofunction:: save_npz_dict
 
 从save_npz_dict加载模型参数列表
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 .. autofunction:: load_and_assign_npz_dict
 
 
 保存模型结构
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 .. autofunction:: save_graph
-        
+
 加载模型结构
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 .. autofunction:: load_graph
@@ -219,7 +219,7 @@ Google Drive
 
 
 文件夹/文件相关函数
-------------------
+-------------------
 
 判断文件存在
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^

docs/modules/prepro.rst

@@ -175,7 +175,7 @@ HSV 转 RGB
 .. autofunction:: hsv_to_rgb
 
 调整色调（Hue）
-^^^^^^^^^^^^^^
+^^^^^^^^^^^^^^^
 .. autofunction:: adjust_hue
 
 
@@ -210,7 +210,7 @@ HSV 转 RGB
 .. autofunction:: apply_transform
 
 基于坐标点的的投影变换
-^^^^^^^^^^^^^^^^^^^^^
+^^^^^^^^^^^^^^^^^^^^^^
 .. autofunction:: projective_transform_by_points
 
 

docs/user/development.rst

@@ -1,7 +1,7 @@
 开发 Development
 ================
 
-TensorLayer始于一个帝国理工的研究项目，目前由数位 `GitHub`_ 的贡献者负责维护和进行改进。
+TensorLayer始于一个帝国理工的研究项目，目前由数位 `Github`_ 的贡献者负责维护和进行改进。
 
 作为一个为研究员和工程师开发的开源项目，我们诚挚地欢迎您为对项目提供帮助。
 每个微小的支持都会帮助我们并且会被记录下来。
@@ -56,7 +56,7 @@ TensorLayer的想法源于组合TensorFlow的灵活性和正确的 building bloc
 """"""""""""""
 
 无论什么时候您发现有些文档没有解释清楚，存在误导，敷衍带过或者根本就是错的。
-请及时更新它！*Edit on GitHub*的链接就在每一篇文档的右上角
+请及时更新它！*Edit on GitHub* 的链接就在每一篇文档的右上角
 并且API引用列表中的每篇文档的*[source]*的链接可以帮助您快速地定位任何文字的根源。
 
 
@@ -109,6 +109,7 @@ TensorLayer有100%的代码覆盖率，这过去被证明是十分有用的的
 
 * 每当您更改任何代码的时候，您应该运行测试脚本来测试它是否能优化现有属性。
 * 您修改的每个BUG说明一个缺少的测试案例，
+
 所以每个修复BUG的方案应该配置一个您没修复前的测试案例。
 
 发送拉请求
@@ -127,5 +128,5 @@ https://guides.github.com/introduction/flow/
 GitHub会关闭那个问题。
 
 
-.. _GitHUb: http://github.com/zsdonghao/tensorlayer
+.. _Github: http://github.com/zsdonghao/tensorlayer
 .. _our mailing list: [email protected]

docs/user/example.rst

@@ -14,7 +14,7 @@ Basics
  - Stacked Denoising Autoencoder and Fine-Tuning (MNIST). A MLP classification task, see `tutorial_mnist.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_mnist.py>`_.
  - Convolutional Network (MNIST). Classification task, see `tutorial_mnist.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_mnist.py>`_.
  - Convolutional Network (CIFAR-10). Classification task, see `tutorial_cifar10.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_cifar10.py>`_ and `tutorial_cifar10_tfrecord.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_cifar10_tfrecord.py>`_.
- - TensorFlow dataset API for object detection see `here <https://github.com/tensorlayer/tensorlayer/blob/master/example/tutorial_tf_dataset_voc.py>`_.
+ - TensorFlow dataset API for object detection see `tutorial_tf_dataset_voc.py <https://github.com/tensorlayer/tensorlayer/blob/master/example/tutorial_tf_dataset_voc.py>`_.
  - Merge TF-Slim into TensorLayer. `tutorial_inceptionV3_tfslim.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_inceptionV3_tfslim.py>`_.
  - Merge Keras into TensorLayer. `tutorial_keras.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_keras.py>`_.
  - Data augmentation with TFRecord. Effective way to load and pre-process data, see `tutorial_tfrecord*.py <https://github.com/zsdonghao/tensorlayer/tree/master/example>`_ and `tutorial_cifar10_tfrecord.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_cifar10_tfrecord.py>`_.
@@ -78,12 +78,12 @@ Pretrained Models
  - SqueezeNet (ImageNet). Model compression, see `tl.models.SqueezeNetV1 <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_models_squeezenetv1.py>`__ or `tutorial_squeezenet.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_squeezenet.py>`_.
  - MobileNet (ImageNet). Model compression, see `tl.models.MobileNetV1 <https://github.com/tensorlayer/tensorlayer/blob/master/example/tutorial_models_mobilenetv1.py>`__ or `tutorial_mobilenet.py <https://github.com/tensorlayer/tensorlayer/blob/master/example/tutorial_mobilenet.py>`__.
  - More CNN implementations of `TF-Slim <https://github.com/tensorflow/models/tree/master/research/slim>`_ can be connected to TensorLayer via SlimNetsLayer.
- - All pretrained models in `here <https://github.com/tensorlayer/pretrained-models>`_.
+ - All pretrained models in `tensorlayer/pretrained-models <https://github.com/tensorlayer/pretrained-models>`_.
 
 Miscellaneous
 =================
 
- - TensorDB by `fangde <https://github.com/fangde>`_ see `here <https://github.com/akaraspt/tl_paper>`_.
+ - TensorDB by `fangde <https://github.com/fangde>`_ see `akaraspt/tl_paper <https://github.com/akaraspt/tl_paper>`_.
  - A simple web service - `TensorFlask <https://github.com/JoelKronander/TensorFlask>`_ by `JoelKronander <https://github.com/JoelKronander>`__.
 
 

tests

@@ -0,0 +1 @@
+tensorlayer-master/tests