Release TL 1.10.1 (#825)

* Release 1.10.1

* Pin imageio to latest version 2.4.0

* Pin pytest to latest version 3.8.0

* Update requirements_test.txt

* Update requirements.txt

* Update CHANGELOG.md

* Changelog Updated

* Travis Updated

* support channel_first

* YAPF Applied

* YAPF Corrections Applied

* YAPF Corrections

* Changelog cleaned

.gitignore

@@ -67,6 +67,7 @@ instance/
 # Sphinx documentation
 docs/_build/
 docs/test_build/
+docs/build_test/
 
 # PyBuilder
 target/
@@ -94,6 +95,8 @@ venv.bak/
 venv_/
 venv2/
 venv3/
+venv_doc/
+venv_py2/
 
 # Spyder project settings
 .spyderproject
@@ -125,6 +128,4 @@ update_tl.py
 
 # Data Files and ByteCode files
 *.gz
-*.npz
-venv_doc/
-venv_py2/
+*.npz

.travis.yml

@@ -9,7 +9,7 @@ branches:
   only:
     - master
     - TensorLayer-1.x
-    - /\d+\.\d+(\.\d+)?(\S*)?$/
+    - /^\d+\.\d+(\.\d+)?(\S*)?$/
 
 python:
   - "3.6"

CHANGELOG.md

@@ -47,15 +47,15 @@ To release a new version, please update the changelog as followed:
 
 ### Changed
 
-### Deprecated
+### Dependencies Update
 
-### Removed
+### Deprecated
 
 ### Fixed
 
-### Security
+### Removed
 
-### Dependencies Update
+### Security
 
 ### Contributors
 
@@ -70,19 +70,34 @@ To release a new version, please update the changelog as followed:
 ## [Unreleased]
 
 ### Added
-- unittest `tests\test_timeout.py` has been added to ensure the network creation process does not freeze.
 
 ### Changed
- - remove 'tensorboard' param, replaced by 'tensorboard_dir' in `tensorlayer/utils.py` with customizable tensorboard directory (PR #819)
+
+### Dependencies Update
 
 ### Deprecated
 
+### Fixed
+
+### Removed
+
+### Security
+
+### Contributors
+
+## [1.10.1] - 2018-09-07
+
+### Added
+- unittest `tests\test_timeout.py` has been added to ensure the network creation process does not freeze.
+
+### Changed
+ - remove 'tensorboard' param, replaced by 'tensorboard_dir' in `tensorlayer/utils.py` with customizable tensorboard directory (PR #819)
+
 ### Removed
 - TL Graph API removed. Memory Leaks Issues with this API, will be fixed and integrated in TL 2.0 (PR #818)
 
 ### Fixed
-
-### Security
+- Issue #817 fixed: TL 1.10.0 - Memory Leaks and very slow network creation.
 
 ### Dependencies Update
 - autopep8>=1.3,<1.4 => autopep8>=1.3,<1.5 (PR #815)
@@ -359,7 +374,8 @@ To release a new version, please update the changelog as followed:
 
 @zsdonghao @luomai @DEKHTIARJonathan
 
-[Unreleased]: https://github.com/tensorlayer/tensorlayer/compare/1.10.0...master
+[Unreleased]: https://github.com/tensorlayer/tensorlayer/compare/1.10.1...master
+[1.10.1]: https://github.com/tensorlayer/tensorlayer/compare/1.10.0...1.10.1
 [1.10.0]: https://github.com/tensorlayer/tensorlayer/compare/1.9.1...1.10.0
 [1.9.1]: https://github.com/tensorlayer/tensorlayer/compare/1.9.0...1.9.1
 [1.9.0]: https://github.com/tensorlayer/tensorlayer/compare/1.8.5...1.9.0

README.md

@@ -13,7 +13,7 @@
 
 ![PyPI Stable Version](http://ec2-35-178-47-120.eu-west-2.compute.amazonaws.com/github/release/tensorlayer/tensorlayer.svg?label=PyPI%20-%20Release)
 ![PyPI RC Version](http://ec2-35-178-47-120.eu-west-2.compute.amazonaws.com/github/release/tensorlayer/tensorlayer/all.svg?label=PyPI%20-%20Pre-Release)
-[![Github commits (since latest release)](http://ec2-35-178-47-120.eu-west-2.compute.amazonaws.com/github/commits-since/tensorlayer/tensorlayer/latest.svg)](https://github.com/tensorlayer/tensorlayer/compare/1.9.0...master)
+[![Github commits (since latest release)](http://ec2-35-178-47-120.eu-west-2.compute.amazonaws.com/github/commits-since/tensorlayer/tensorlayer/latest.svg)](https://github.com/tensorlayer/tensorlayer/compare/1.10.1...master)
 [![PyPI - Python Version](http://ec2-35-178-47-120.eu-west-2.compute.amazonaws.com/pypi/pyversions/tensorlayer.svg)](https://pypi.org/project/tensorlayer/)
 [![Supported TF Version](http://ec2-35-178-47-120.eu-west-2.compute.amazonaws.com/badge/tensorflow-1.6.0+-blue.svg)](https://github.com/tensorflow/tensorflow/releases)
 
@@ -23,7 +23,7 @@
 [![Documentation Status](http://ec2-35-178-47-120.eu-west-2.compute.amazonaws.com/readthedocs/tensorlayercn/latest.svg?label=ReadTheDocs-CN)](https://tensorlayercn.readthedocs.io/)
 [![PyUP Updates](https://pyup.io/repos/github/tensorlayer/tensorlayer/shield.svg)](https://pyup.io/repos/github/tensorlayer/tensorlayer/)
 [![Docker Pulls](http://ec2-35-178-47-120.eu-west-2.compute.amazonaws.com/docker/pulls/tensorlayer/tensorlayer.svg?maxAge=604800)](https://hub.docker.com/r/tensorlayer/tensorlayer/)
-[![Codacy Badge](http://ec2-35-178-47-120.eu-west-2.compute.amazonaws.com/codacy/grade/ca2a29ddcf7445588beff50bee5406d9.svg)](https://app.codacy.com/app/tensorlayer/tensorlayer)
+[![Codacy Badge](https://api.codacy.com/project/badge/Grade/d6b118784e25435498e7310745adb848)](https://www.codacy.com/app/tensorlayer/tensorlayer)
 
 <br/>
 

README.rst

@@ -178,7 +178,7 @@ TensorLayer is released under the Apache 2.0 license.
 .. |PyPI-Prerelease| image:: http://ec2-35-178-47-120.eu-west-2.compute.amazonaws.com/github/release/tensorlayer/tensorlayer/all.svg?label=PyPI%20-%20Pre-Release
    :target: https://pypi.org/project/tensorlayer/
 .. |Commits-Since| image:: http://ec2-35-178-47-120.eu-west-2.compute.amazonaws.com/github/commits-since/tensorlayer/tensorlayer/latest.svg
-   :target: https://github.com/tensorlayer/tensorlayer/compare/1.9.0...master
+   :target: https://github.com/tensorlayer/tensorlayer/compare/1.10.1...master
 .. |Python| image:: http://ec2-35-178-47-120.eu-west-2.compute.amazonaws.com/pypi/pyversions/tensorlayer.svg
    :target: https://pypi.org/project/tensorlayer/
 .. |TensorFlow| image:: https://img.shields.io/badge/tensorflow-1.6.0+-blue.svg
@@ -196,5 +196,5 @@ TensorLayer is released under the Apache 2.0 license.
    :target: https://pyup.io/repos/github/tensorlayer/tensorlayer/
 .. |Docker-Pulls| image:: http://ec2-35-178-47-120.eu-west-2.compute.amazonaws.com/docker/pulls/tensorlayer/tensorlayer.svg
    :target: https://hub.docker.com/r/tensorlayer/tensorlayer/
-.. |Code-Quality| image:: http://ec2-35-178-47-120.eu-west-2.compute.amazonaws.com/codacy/grade/ca2a29ddcf7445588beff50bee5406d9.svg
-   :target: https://app.codacy.com/app/tensorlayer/tensorlayer
+.. |Code-Quality| image:: https://api.codacy.com/project/badge/Grade/d6b118784e25435498e7310745adb848
+   :target: https://www.codacy.com/app/tensorlayer/tensorlayer

tensorlayer/layers/convolution/simplified_conv.py

@@ -36,7 +36,7 @@ class Conv1d(Layer):
     padding : str
         The padding algorithm type: "SAME" or "VALID".
     data_format : str
-        Default is 'NWC' as it is a 1D CNN.
+        channels_last 'NWC' (default) or channels_first.
     W_init : initializer
         The initializer for the weight matrix.
     b_init : initializer or None
@@ -117,6 +117,8 @@ class Conv2d(Layer):
         The activation function of this layer.
     padding : str
         The padding algorithm type: "SAME" or "VALID".
+    data_format : str
+        "channels_last" (NHWC, default) or "channels_first" (NCHW). 
     W_init : initializer
         The initializer for the the weight matrix.
     b_init : initializer or None
@@ -127,8 +129,6 @@ class Conv2d(Layer):
         The arguments for the bias vector initializer (for TF < 1.5).
     use_cudnn_on_gpu : bool
         Default is False (for TF < 1.5).
-    data_format : str
-        "NHWC" or "NCHW", default is "NHWC" (for TF < 1.5).
     name : str
         A unique layer name.
 
@@ -159,13 +159,13 @@ def __init__(
             strides=(1, 1),
             act=None,
             padding='SAME',
+            data_format='channels_last',
             dilation_rate=(1, 1),
             W_init=tf.truncated_normal_initializer(stddev=0.02),
             b_init=tf.constant_initializer(value=0.0),
             W_init_args=None,
             b_init_args=None,
             use_cudnn_on_gpu=None,
-            data_format=None,
             name='conv2d',
     ):
         # if len(strides) != 2:
@@ -194,7 +194,7 @@ def __init__(
             kernel_size=filter_size,
             strides=strides,
             padding=padding,
-            data_format='channels_last',
+            data_format=data_format,
             dilation_rate=dilation_rate,
             activation=self.act,
             use_bias=(False if b_init is None else True),

tensorlayer/layers/convolution/simplified_deconv.py

@@ -35,11 +35,10 @@ class DeConv2d(Layer):
         The stride step (height, width).
     padding : str
         The padding algorithm type: "SAME" or "VALID".
-    batch_size : int or None
-        Require if TF < 1.3, int or None.
-        If None, try to find the `batch_size` from the first dim of net.outputs (you should define the `batch_size` in the input placeholder).
     act : activation function
         The activation function of this layer.
+    data_format : str
+        "channels_last" (NHWC, default) or "channels_first" (NCHW).
     W_init : initializer
         The initializer for the weight matrix.
     b_init : initializer or None
@@ -61,11 +60,12 @@ def __init__(
             prev_layer,
             n_filter=32,
             filter_size=(3, 3),
-            out_size=(30, 30),  # remove
+            # out_size=(30, 30),  # remove
             strides=(2, 2),
             padding='SAME',
-            batch_size=None,  # remove
+            # batch_size=None,  # remove
             act=None,
+            data_format='channels_last',
             W_init=tf.truncated_normal_initializer(stddev=0.02),
             b_init=tf.constant_initializer(value=0.0),
             W_init_args=None,  # TODO: Remove when TF <1.3 not supported
@@ -86,8 +86,8 @@ def __init__(
             raise ValueError("len(strides) should be 2, DeConv2d and DeConv2dLayer are different.")
 
         conv2d_transpose = tf.layers.Conv2DTranspose(
-            filters=n_filter, kernel_size=filter_size, strides=strides, padding=padding, activation=self.act,
-            kernel_initializer=W_init, bias_initializer=b_init, name=name
+            filters=n_filter, kernel_size=filter_size, strides=strides, padding=padding, data_format=data_format,
+            activation=self.act, kernel_initializer=W_init, bias_initializer=b_init, name=name
         )
 
         self.outputs = conv2d_transpose(self.inputs)
@@ -116,6 +116,8 @@ class DeConv3d(Layer):
         The padding algorithm type: "SAME" or "VALID".
     act : activation function
         The activation function of this layer.
+    data_format : str
+        "channels_last" (NDHWC, default) or "channels_first" (NCDHW). 
     W_init : initializer
         The initializer for the weight matrix.
     b_init : initializer or None
@@ -138,6 +140,7 @@ def __init__(
             strides=(2, 2, 2),
             padding='SAME',
             act=None,
+            data_format='channels_last',
             W_init=tf.truncated_normal_initializer(stddev=0.02),
             b_init=tf.constant_initializer(value=0.0),
             W_init_args=None,  # TODO: Remove when TF <1.3 not supported
@@ -157,7 +160,7 @@ def __init__(
         # with tf.variable_scope(name) as vs:
         nn = tf.layers.Conv3DTranspose(
             filters=n_filter, kernel_size=filter_size, strides=strides, padding=padding, activation=self.act,
-            kernel_initializer=W_init, bias_initializer=b_init, name=name
+            data_format=data_format, kernel_initializer=W_init, bias_initializer=b_init, name=name
         )
 
         self.outputs = nn(self.inputs)

tensorlayer/package_info.py

@@ -3,7 +3,7 @@
 """Deep learning and Reinforcement learning library for Researchers and Engineers"""
 
 # Use the following formatting: (major, minor, patch, prerelease)
-VERSION = (1, 10, 1, "rc0")
+VERSION = (1, 10, 1, "")
 __shortversion__ = '.'.join(map(str, VERSION[:3]))
 __version__ = '.'.join(map(str, VERSION[:3])) + "".join(VERSION[3:])