# Changelog All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/) and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). ## [Unreleased] ### Added ### Changed ### Dependencies Update ### Deprecated ### Fixed ### Removed ### Security ### Contributors ## [2.2.3] - 2020-06-18 TensorLayer 2.2.3 is a maintenance release. It contains numerous bug fixes. ### Added ### Changed ### Dependencies Update ### Deprecated ### Fixed - Fix VGG. (#1078, 1079, 1089) - Fix norm layer. (#1080) - Fix DeCov2d layer. (#1081) - Fix ModelLayer and LayerList doc. (#1083) - Fix bug in SAC. (#1085) - Fix refactoring: Deduplication. (#1086) - Fix maxpool, batchnorm Data format fixed, vgg forward. (#1089) - Fix package info. (#1090) ### Removed ### Security ### Contributors - @zsdonghao - @tiancheng2000 (#1078 #1079 #1080 #1081) - @ChrisWu1997 (#1083) - @quantumiracle (#1085) - @marload (#1086) - @Gyx-One (#1089) - @Laicheng0830 (#1090) ## [2.2.2] - 2020-04-26 TensorLayer 2.2.2 is a maintenance release. ### Added - Reinforcement learning(#1065) - Mish activation(#1068) ### Changed ### Dependencies Update ### Deprecated ### Fixed - Fix README. - Fix package info. ### Removed ### Security ### Contributors - @zsdonghao - @quantumiracle(1065) - @Laicheng0830(#1068) ## [2.2.1] - 2020-01-14 TensorLayer 2.2.1 is a maintenance release. It contains numerous bug fixes. ### Added ### Changed ### Dependencies Update ### Deprecated ### Fixed - Fix README. (#1044) - Fix package info. (#1046) - Fix build test (Using YAPF 0.29) (#1057) ### Removed ### Security ### Contributors - @luomai (#1044, #1046, #1057) ## [2.2.0] - 2019-09-13 TensorLayer 2.2.0 is a maintenance release. It contains numerous API improvement and bug fixes. This release is compatible with TensorFlow 2 RC1. ### Added - Support nested layer customization (#PR 1015) - Support string dtype in InputLayer (#PR 1017) - Support Dynamic RNN in RNN (#PR 1023) - Add ResNet50 static model (#PR 1030) - Add performance test code in static model (#PR 1041) ### Changed - `SpatialTransform2dAffine` auto `in_channels` - support TensorFlow 2.0.0-rc1 - Update model weights property, now returns its copy (#PR 1010) ### Fixed - RNN updates: remove warnings, fix if seq_len=0, unitest (#PR 1033) - BN updates: fix BatchNorm1d for 2D data, refactored (#PR 1040) ### Dependencies Update ### Deprecated ### Fixed - Fix `tf.models.Model._construct_graph` for list of outputs, e.g. STN case (PR #1010) - Enable better `in_channels` exception raise. (PR #1015) - Set allow_pickle=True in np.load() (#PR 1021) - Remove `private_method` decorator (#PR 1025) - Copy original model's `trainable_weights` and `nontrainable_weights` when initializing `ModelLayer` (#PR 1026) - Copy original model's `trainable_weights` and `nontrainable_weights` when initializing `LayerList` (#PR 1029) - Remove redundant parts in `model.all_layers` (#PR 1029) - Replace `tf.image.resize_image_with_crop_or_pad` with `tf.image.resize_with_crop_or_pad` (#PR 1032) - Fix a bug in `ResNet50` static model (#PR 1041) ### Removed ### Security ### Contributors - @zsdonghao - @luomai - @ChrisWu1997: #1010 #1015 #1025 #1030 #1040 - @warshallrho: #1017 #1021 #1026 #1029 #1032 #1041 - @ArnoldLIULJ: #1023 - @JingqingZ: #1023 ## [2.1.0] ### Changed - Add version_info in model.config. (PR #992) - Replace tf.nn.func with tf.nn.func.\_\_name\_\_ in model config. (PR #994) - Add Reinforcement learning tutorials. (PR #995) - Add RNN layers with simple rnn cell, GRU cell, LSTM cell. (PR #998) - Update Seq2seq (#998) - Add Seq2seqLuongAttention model (#998) ### Fixed ### Contributors - @warshallrho: #992 #994 - @quantumiracle: #995 - @Tokarev-TT-33: #995 - @initial-h: #995 - @Officium: #995 - @ArnoldLIULJ: #998 - @JingqingZ: #998 ## [2.0.2] - 2019-6-5 ### Changed - change the format of network config, change related code and files; change layer act (PR #980) ### Fixed - Fix dynamic model cannot track PRelu weights gradients problem (PR #982) - Raise .weights warning (commit) ### Contributors - @warshallrho: #980 - @1FengL: #982 ## [2.0.1] - 2019-5-17 A maintain release. ### Changed - remove `tl.layers.initialize_global_variables(sess)` (PR #931) - support `trainable_weights` (PR #966) ### Added - Layer - `InstanceNorm`, `InstanceNorm1d`, `InstanceNorm2d`, `InstanceNorm3d` (PR #963) * Reinforcement learning tutorials. (PR #995) ### Changed - remove `tl.layers.initialize_global_variables(sess)` (PR #931) - update `tutorial_generate_text.py`, `tutorial_ptb_lstm.py`. remove `tutorial_ptb_lstm_state_is_tuple.py` (PR #958) - change `tl.layers.core`, `tl.models.core` (PR #966) - change `weights` into `all_weights`, `trainable_weights`, `nontrainable_weights` ### Dependencies Update - nltk>=3.3,<3.4 => nltk>=3.3,<3.5 (PR #892) - pytest>=3.6,<3.11 => pytest>=3.6,<4.1 (PR #889) - yapf>=0.22,<0.25 => yapf==0.25.0 (PR #896) - imageio==2.5.0 progressbar2==3.39.3 scikit-learn==0.21.0 scikit-image==0.15.0 scipy==1.2.1 wrapt==1.11.1 pymongo==3.8.0 sphinx==2.0.1 wrapt==1.11.1 opencv-python==4.1.0.25 requests==2.21.0 tqdm==4.31.1 lxml==4.3.3 pycodestyle==2.5.0 sphinx==2.0.1 yapf==0.27.0(PR #967) ### Fixed - fix docs of models @zsdonghao #957 - In `BatchNorm`, keep dimensions of mean and variance to suit `channels first` (PR #963) ### Contributors - @warshallrho: #PR966 - @zsdonghao: #931 - @yd-yin: #963 - @Tokarev-TT-33: # 995 - @initial-h: # 995 - @quantumiracle: #995 - @Officium: #995 - @1FengL: #958 - @dvklopfenstein: #971 ## [2.0.0] - 2019-05-04 To many PR for this update, please check [here](https://github.com/tensorlayer/tensorlayer/releases/tag/2.0.0) for more details. ### Changed * update for TensorLayer 2.0.0 alpha version (PR #952) * support TensorFlow 2.0.0-alpha * support both static and dynamic model building ### Dependencies Update - tensorflow>=1.6,<1.13 => tensorflow>=2.0.0-alpha (PR #952) - h5py>=2.9 (PR #952) - cloudpickle>=0.8.1 (PR #952) - remove matplotlib ### Contributors - @zsdonghao - @JingqingZ - @ChrisWu1997 - @warshallrho ## [1.11.1] - 2018-11-15 ### Changed * guide for pose estimation - flipping (PR #884) * cv2 transform support 2 modes (PR #885) ### Dependencies Update - pytest>=3.6,<3.9 => pytest>=3.6,<3.10 (PR #874) - requests>=2.19,<2.20 => requests>=2.19,<2.21 (PR #874) - tqdm>=4.23,<4.28 => tqdm>=4.23,<4.29 (PR #878) - pytest>=3.6,<3.10 => pytest>=3.6,<3.11 (PR #886) - pytest-xdist>=1.22,<1.24 => pytest-xdist>=1.22,<1.25 (PR #883) - tensorflow>=1.6,<1.12 => tensorflow>=1.6,<1.13 (PR #886) ### Contributors - @zsdonghao: #884 #885 ## [1.11.0] - 2018-10-18 ### Added - Layer: - Release `GroupNormLayer` (PR #850) - Image affine transformation APIs - `affine_rotation_matrix` (PR #857) - `affine_horizontal_flip_matrix` (PR #857) - `affine_vertical_flip_matrix` (PR #857) - `affine_shift_matrix` (PR #857) - `affine_shear_matrix` (PR #857) - `affine_zoom_matrix` (PR #857) - `affine_transform_cv2` (PR #857) - `affine_transform_keypoints` (PR #857) - Affine transformation tutorial - `examples/data_process/tutorial_fast_affine_transform.py` (PR #857) ### Changed - BatchNormLayer: support `data_format` ### Dependencies Update - matplotlib>=2.2,<2.3 => matplotlib>=2.2,<3.1 (PR #845) - pydocstyle>=2.1,<2.2 => pydocstyle>=2.1,<3.1 (PR #866) - scikit-learn>=0.19,<0.20 => scikit-learn>=0.19,<0.21 (PR #851) - sphinx>=1.7,<1.8 => sphinx>=1.7,<1.9 (PR #842) - tensorflow>=1.6,<1.11 => tensorflow>=1.6,<1.12 (PR #853) - tqdm>=4.23,<4.26 => tqdm>=4.23,<4.28 (PR #862 & #868) - yapf>=0.22,<0.24 => yapf>=0.22,<0.25 (PR #829) ### Fixed - Correct offset calculation in `tl.prepro.transform_matrix_offset_center` (PR #855) ### Contributors - @2wins: #850 #855 - @DEKHTIARJonathan: #853 - @zsdonghao: #857 - @luomai: #857 ## [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 - 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) - imageio>=2.3,<2.4 => imageio>=2.3,<2.5 (PR #823) - pytest>=3.6,<3.8 => pytest>=3.6,<3.9 (PR #823) - pytest-cov>=2.5,<2.6 => pytest-cov>=2.5,<2.7 (PR #820) ### Contributors - @DEKHTIARJonathan: #815 #818 #820 #823 - @ndiy: #819 - @zsdonghao: #818 ## [1.10.0] - 2018-09-02 ### Added - API: - Add `tl.model.vgg19` (PR #698) - Add `tl.logging.contrib.hyperdash` (PR #739) - Add `tl.distributed.trainer` (PR #700) - Add `prefetch_buffer_size` to the `tl.distributed.trainer` (PR #766) - Add `tl.db.TensorHub` (PR ＃751) - Add `tl.files.save_graph` (PR ＃751) - Add `tl.files.load_graph_` (PR ＃751) - Add `tl.files.save_graph_and_params` (PR ＃751) - Add `tl.files.load_graph_and_params` (PR ＃751) - Add `tl.prepro.keypoint_random_xxx` (PR #787) - Documentation: - Add binary, ternary and dorefa links (PR #711) - Update input scale of VGG16 and VGG19 to 0~1 (PR #736) - Update database (PR ＃751) - Layer: - Release SwitchNormLayer (PR #737) - Release QuanConv2d, QuanConv2dWithBN, QuanDenseLayer, QuanDenseLayerWithBN (PR#735) - Update Core Layer to support graph (PR ＃751) - All Pooling layers support `data_format` (PR #809) - Setup: - Creation of installation flaggs `all_dev`, `all_cpu_dev`, and `all_gpu_dev` (PR #739) - Examples: - change folder struction (PR #802) - `tutorial_models_vgg19` has been introduced to show how to use `tl.model.vgg19` (PR #698). - fix bug of `tutorial_bipedalwalker_a3c_continuous_action.py` (PR #734, Issue #732) - `tutorial_models_vgg16` and `tutorial_models_vgg19` has been changed the input scale from [0,255] to [0,1](PR #710) - `tutorial_mnist_distributed_trainer.py` and `tutorial_cifar10_distributed_trainer.py` are added to explain the uses of Distributed Trainer (PR #700) - add `tutorial_quanconv_cifar10.py` and `tutorial_quanconv_mnist.py` (PR #735) - add `tutorial_work_with_onnx.py`(PR #775) - Applications: - [Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization](https://arxiv.org/abs/1703.06868) (PR #799) ### Changed - function minibatches changed to avoid wasting samples.(PR #762) - all the input scale in both vgg16 and vgg19 has been changed the input scale from [0,255] to [0,1](PR #710) - Dockerfiles merged and refactored into one file (PR #747) - LazyImports move to the most **top level** imports as possible (PR #739) - some new test functions have been added in `test_layers_convolution.py`, `test_layers_normalization.py`, `test_layers_core.py` (PR #735) - documentation now uses mock imports reducing the number of dependencies to compile the documentation (PR #785) - fixed and enforced pydocstyle D210, D200, D301, D207, D403, D204, D412, D402, D300, D208 (PR #784) ### Deprecated - `tl.logging.warn` has been deprecated in favor of `tl.logging.warning` (PR #739) ### Removed - `conv_layers()` has been removed in both vgg16 and vgg19(PR #710) - graph API (PR #818) ### Fixed - import error caused by matplotlib on OSX (PR #705) - missing import in tl.prepro (PR #712) - Dockerfiles import error fixed - issue #733 (PR #747) - Fix a typo in `absolute_difference_error` in file: `tensorlayer/cost.py` - Issue #753 (PR #759) - Fix the bug of scaling the learning rate of trainer (PR #776) - log error instead of info when npz file not found. (PR #812) ### Dependencies Update - numpy>=1.14,<1.15 => numpy>=1.14,<1.16 (PR #754) - pymongo>=3.6,<3.7 => pymongo>=3.6,<3.8 (PR #750) - pytest>=3.6,<3.7 => tqdm>=3.6,<3.8 (PR #798) - pytest-xdist>=1.22,<1.23 => pytest-xdist>=1.22,<1.24 (PR #805 and #806) - tensorflow>=1.8,<1.9 => tensorflow>=1.6,<1.11 (PR #739 and PR #798) - tqdm>=4.23,<4.25 => tqdm>=4.23,<4.26 (PR #798) - yapf>=0.21,<0.22 => yapf>=0.22,<0.24 (PR #798 #808) ### Contributors - @DEKHTIARJonathan: #739 #747 #750 #754 - @lgarithm: #705 #700 - @OwenLiuzZ: #698 #710 #775 #776 - @zsdonghao: #711 #712 #734 #736 #737 #700 #751 #809 #818 - @luomai: #700 #751 #766 #802 - @XJTUWYD: #735 - @mutewall: #735 - @thangvubk: #759 - @JunbinWang: #796 - @boldjoel: #787 ## [1.9.1] - 2018-07-30 ### Fixed - Issue with tensorflow 1.10.0 fixed ## [1.9.0] - 2018-06-16 ### Added - API: - `tl.alphas` and `tl.alphas_like` added following the tf.ones/zeros and tf.zeros_like/ones_like (PR #580) - `tl.lazy_imports.LazyImport` to import heavy libraries only when necessary (PR #667) - `tl.act.leaky_relu6` and `tl.layers.PRelu6Layer` have been deprecated (PR #686) - `tl.act.leaky_twice_relu6` and `tl.layers.PTRelu6Layer` have been deprecated (PR #686) - CI Tool: - [Stale Probot](https://github.com/probot/stale) added to clean stale issues (PR #573) - [Changelog Probot](https://github.com/mikz/probot-changelog) Configuration added (PR #637) - Travis Builds now handling a matrix of TF Version from TF==1.6.0 to TF==1.8.0 (PR #644) - CircleCI added to build and upload Docker Containers for each PR merged and tag release (PR #648) - Decorator: - `tl.decorators` API created including `deprecated_alias` and `private_method` (PR #660) - `tl.decorators` API enriched with `protected_method` (PR #675) - `tl.decorators` API enriched with `deprecated` directly raising warning and modifying documentation (PR #691) - Docker: - Containers for each release and for each PR merged on master built (PR #648) - Containers built in the following configurations (PR #648): - py2 + cpu - py2 + gpu - py3 + cpu - py3 + gpu - Documentation: - Clean README.md (PR #677) - Release semantic version added on index page (PR #633) - Optimizers page added (PR #636) - `AMSGrad` added on Optimizers page added (PR #636) - Layer: - ElementwiseLambdaLayer added to use custom function to connect multiple layer inputs (PR #579) - AtrousDeConv2dLayer added (PR #662) - Fix bugs of using `tf.layers` in CNN (PR #686) - Optimizer: - AMSGrad Optimizer added based on `On the Convergence of Adam and Beyond (ICLR 2018)` (PR #636) - Setup: - Creation of installation flaggs `all`, `all_cpu`, and `all_gpu` (PR #660) - Test: - `test_utils_predict.py` added to reproduce and fix issue #288 (PR #566) - `Layer_DeformableConvolution_Test` added to reproduce issue #572 with deformable convolution (PR #573) - `Array_Op_Alphas_Test` and `Array_Op_Alphas_Like_Test` added to test `tensorlayer/array_ops.py` file (PR #580) - `test_optimizer_amsgrad.py` added to test `AMSGrad` optimizer (PR #636) - `test_logging.py` added to insure robustness of the logging API (PR #645) - `test_decorators.py` added (PR #660) - `test_activations.py` added (PR #686) - Tutorials: - `tutorial_tfslim` has been introduced to show how to use `SlimNetsLayer` (PR #560). - add the following to all tutorials (PR #697): ```python tf.logging.set_verbosity(tf.logging.DEBUG) tl.logging.set_verbosity(tl.logging.DEBUG) ``` ### Changed - Tensorflow CPU & GPU dependencies moved to separated requirement files in order to allow PyUP.io to parse them (PR #573) - The document of LambdaLayer for linking it with ElementwiseLambdaLayer (PR #587) - RTD links point to stable documentation instead of latest used for development (PR #633) - TF Version older than 1.6.0 are officially unsupported and raises an exception (PR #644) - README.md Badges Updated with Support Python and Tensorflow Versions (PR #644) - TL logging API has been consistent with TF logging API and thread-safe (PR #645) - Relative Imports changed for absolute imports (PR #657) - `tl.files` refactored into a directory with numerous files (PR #657) - `tl.files.voc_dataset` fixed because of original Pascal VOC website was down (PR #657) - extra requirements hidden inside the library added in the project requirements (PR #657) - requirements files refactored in `requirements/` directory (PR #657) - README.md and other markdown files have been refactored and cleaned. (PR #639) - Ternary Convolution Layer added in unittest (PR #658) - Convolution Layers unittests have been cleaned & refactored (PR #658) - All the tests are now using a DEBUG level verbosity when run individualy (PR #660) - `tf.identity` as activation is **ignored**, thus reducing the size of the graph by removing useless operation (PR #667) - argument dictionaries are now checked and saved within the `Layer` Base Class (PR #667) - `Layer` Base Class now presenting methods to update faultlessly `all_layers`, `all_params`, and `all_drop` (PR #675) - Input Layers have been removed from `tl.layers.core` and added to `tl.layers.inputs` (PR #675) - Input Layers are now considered as true layers in the graph (they represent a placeholder), unittests have been updated (PR #675) - Layer API is simplified, with automatic feeding `prev_layer` into `self.inputs` (PR #675) - Complete Documentation Refactoring and Reorganization (namely Layer APIs) (PR #691) ### Deprecated - `tl.layers.TimeDistributedLayer` argurment `args` is deprecated in favor of `layer_args` (PR #667) - `tl.act.leaky_relu` have been deprecated in favor of `tf.nn.leaky_relu` (PR #686) ### Removed - `assert()` calls remove and replaced by `raise AssertionError()` (PR #667) - `tl.identity` is removed, not used anymore and deprecated for a long time (PR #667) - All Code specific to `TF.__version__ < "1.6"` have been removed (PR #675) ### Fixed - Issue #498 - Deprecation Warning Fix in `tl.layers.RNNLayer` with `inspect` (PR #574) - Issue #498 - Deprecation Warning Fix in `tl.files` with truth value of an empty array is ambiguous (PR #575) - Issue #565 related to `tl.utils.predict` fixed - `np.hstack` problem in which the results for multiple batches are stacked along `axis=1` (PR #566) - Issue #572 with `tl.layers.DeformableConv2d` fixed (PR #573) - Issue #664 with `tl.layers.ConvLSTMLayer` fixed (PR #676) - Typo of the document of ElementwiseLambdaLayer (PR #588) - Error in `tl.layers.TernaryConv2d` fixed - self.inputs not defined (PR #658) - Deprecation warning fixed in `tl.layers.binary._compute_threshold()` (PR #658) - All references to `tf.logging` replaced by `tl.logging` (PR #661) - Duplicated code removed when bias was used (PR #667) - `tensorlayer.third_party.roi_pooling.roi_pooling.roi_pooling_ops` is now lazy loaded to prevent systematic error raised (PR #675) - Documentation not build in RTD due to old version of theme in docs directory fixed (PR #703) - Tutorial: - `tutorial_word2vec_basic.py` saving issue #476 fixed (PR #635) - All tutorials tested and errors have been fixed (PR #635) ### Dependencies Update - Update pytest from 3.5.1 to 3.6.0 (PR #647) - Update progressbar2 from 3.37.1 to 3.38.0 (PR #651) - Update scikit-image from 0.13.1 to 0.14.0 (PR #656) - Update keras from 2.1.6 to 2.2.0 (PR #684) - Update requests from 2.18.4 to 2.19.0 (PR #695) ### Contributors - @lgarithm: #563 - @DEKHTIARJonathan: #573 #574 #575 #580 #633 #635 #636 #639 #644 #645 #648 #657 #667 #658 #659 #660 #661 #666 #667 #672 #675 #683 #686 #687 #690 #691 #692 #703 - @2wins: #560 #566 #662 - @One-sixth: #579 - @zsdonghao: #587 #588 #639 #685 #697 - @luomai: #639 #677 - @dengyueyun666: #676 ## [1.8.5] - 2018-05-09 ### Added - Github Templates added (by @DEKHTIARJonathan) - New issues Template - New PR Template - Travis Deploy Automation on new Tag (by @DEKHTIARJonathan) - Deploy to PyPI and create a new version. - Deploy to Github Releases and upload the wheel files - PyUP.io has been added to ensure we are compatible with the latest libraries (by @DEKHTIARJonathan) - `deconv2d` now handling dilation_rate (by @zsdonghao) - Documentation unittest added (by @DEKHTIARJonathan) - `test_layers_core` has been added to ensure that `LayersConfig` is abstract. ### Changed - All Tests Refactored - Now using unittests and runned with PyTest (by @DEKHTIARJonathan) - Documentation updated (by @zsdonghao) - Package Setup Refactored (by @DEKHTIARJonathan) - Dataset Downlaod now using library progressbar2 (by @DEKHTIARJonathan) - `deconv2d` function transformed into Class (by @zsdonghao) - `conv1d` function transformed into Class (by @zsdonghao) - super resolution functions transformed into Class (by @zsdonghao) - YAPF coding style improved and enforced (by @DEKHTIARJonathan) ### Fixed - Backward Compatibility Restored with deprecation warnings (by @DEKHTIARJonathan) - Tensorflow Deprecation Fix (Issue #498): - AverageEmbeddingInputlayer (by @zsdonghao) - load_mpii_pose_dataset (by @zsdonghao) - maxPool2D initializer issue #551 (by @zsdonghao) - `LayersConfig` class has been enforced as abstract - Pooling Layer Issue #557 fixed (by @zsdonghao) ### Dependencies Update - scipy>=1.0,<1.1 => scipy>=1.1,<1.2 ### Contributors @zsdonghao @luomai @DEKHTIARJonathan [Unreleased]: https://github.com/tensorlayer/tensorlayer/compare/2.0....master [2.2.3]: https://github.com/tensorlayer/tensorlayer/compare/2.2.2...2.2.3 [2.2.2]: https://github.com/tensorlayer/tensorlayer/compare/2.2.1...2.2.2 [2.2.1]: https://github.com/tensorlayer/tensorlayer/compare/2.2.0...2.2.1 [2.2.0]: https://github.com/tensorlayer/tensorlayer/compare/2.1.0...2.2.0 [2.1.0]: https://github.com/tensorlayer/tensorlayer/compare/2.0.2...2.1.0 [2.0.2]: https://github.com/tensorlayer/tensorlayer/compare/2.0.1...2.0.2 [2.0.1]: https://github.com/tensorlayer/tensorlayer/compare/2.0.0...2.0.1 [2.0.0]: https://github.com/tensorlayer/tensorlayer/compare/1.11.1...2.0.0 [1.11.1]: https://github.com/tensorlayer/tensorlayer/compare/1.11.0...1.11.1 [1.11.0]: https://github.com/tensorlayer/tensorlayer/compare/1.10.1...1.11.0 [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 [1.8.5]: https://github.com/tensorlayer/tensorlayer/compare/1.8.4...1.8.5