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TensorLayer 1.11.1

15 Nov 02:48
@luomai luomai
1.11.1
01d541d
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TensorLayer 1.11.1

This is a maintenance release. All users are suggested to update.

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)
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1.11.0

18 Oct 15:37
@DEKHTIARJonathan DEKHTIARJonathan
1.11.0
f8c8448
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1.11.0 
release 1.11.0 (#871)
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TensorLayer 1.11.0rc0

15 Oct 09:09
@DEKHTIARJonathan DEKHTIARJonathan
1.11.0rc0
a285efb
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TensorLayer 1.11.0rc0 Pre-release
Pre-release

This release provides high-performance image augmentation API. The API is based on affine transformation. It has been proven useful to offer 80x speed up in augmenting images in the openpose-plus project.

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

  • yapf>=0.22,<0.24 => yapf>=0.22,<0.25 (PR #829)
  • sphinx>=1.7,<1.8 => sphinx>=1.7,<1.9 (PR #842)
  • matplotlib>=2.2,<2.3 => matplotlib>=2.2,<3.1 (PR #845)
  • scikit-learn>=0.19,<0.20 => scikit-learn>=0.19,<0.21 (PR #851)
  • tensorflow>=1.6,<1.11 => tensorflow>=1.6,<1.12 (PR #853)
  • tqdm>=4.23,<4.26 => tqdm>=4.23,<4.27 (PR #862)
  • pydocstyle>=2.1,<2.2 => pydocstyle>=2.1,<3.1 (PR #866)

Deprecated

Fixed

  • Correct offset calculation in tl.prepro.transform_matrix_offset_center (PR #855)

Removed

Security

Contributors

Assets 6
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TensorLayer 1.10.1

07 Sep 14:54
@DEKHTIARJonathan DEKHTIARJonathan
1.10.1
319505d
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TensorLayer 1.10.1

Important Notice

TensorLayer 1.10.x will be the last supported version of TL 1.X, big changes are upcoming and won't preserve backward compatibility. TensorLayer 1.10.x will only be updated with bugfixes on existing features. No additional feature will be implemented in TL 1.10.x

Changelog

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 Graph 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)
  • pytest-cov>=2.5,<2.6 => pytest-cov>=2.5,<2.7 (PR #820)
  • pytest>=3.6,<3.8 => pytest>=3.6,<3.9 (PR #823)
  • imageio>=2.3,<2.4 => imageio>=2.3,<2.5 (PR #823)

Contributors

Assets 6
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TensorLayer 1.10.1rc0

05 Sep 00:08
@DEKHTIARJonathan DEKHTIARJonathan
1.10.1rc0
6907665
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TensorLayer 1.10.1rc0 Pre-release
Pre-release

Changelog

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)
  • pytest-cov>=2.5,<2.6 => pytest-cov>=2.5,<2.7 (PR #820)
  • pytest>=3.6,<3.8 => pytest>=3.6,<3.9 (PR #823)
  • imageio>=2.3,<2.4 => imageio>=2.3,<2.5 (PR #823)

Contributors

Assets 6
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TensorLayer 1.10.0

01 Sep 20:06
@zsdonghao zsdonghao
1.10.0
ec33758
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TensorLayer 1.10.0

Important Notice

This release contains a memory leak issue.

Release Note

It has been a very busy summer for the TensorLayer team. In this version, we start to support:

  • query and modify a neural network through an intuitive graph API;
  • transparently scale-out your single-GPU training job onto multiple GPUs on a single server and multiple servers using a high-performance trainer module. Trainer is backed by the high-performance and scalable Hovorod library, see examples here;
  • reduce the memory usage of a neural network and even accelerate it using many advanced Network Quantization Layers;
  • add more pre-trained models in our model module.

Mostly importantly, we decide to open-source a series of neural network application codes that have been used by practitioners. The first batch includes:

  • adaptive style transfer which allows you to do almost any kind of style transfer without compromise performance.
  • flexible openpose which allows you deeply customize your openpose network based on the actual data shapes, accuracy requirement, memory constraints and inference speed targets.
  • super resolution which allows you to apply this fantastic technique to medical imaging and many other important fields.

At the same time, just want to put a note ahead, we are working very hard towards the TensorLayer 2.0 release in order to synchronize with the coming TensorFlow 2.0.

Enjoy this release, and we would love your feedback!

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:

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)

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)

Security

Dependencies Update

  • tensorflow>=1.8,<1.9 => tensorflow>=1.6,<1.11 (PR #739 and PR #798)
  • tensorflow-gpu>=1.8,<1.9 => tensorflow-gpu>=1.6,<1.11 (PR #739 and PR #798)
  • 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)
  • 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

Assets 6
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TensorLayer 1.9.1

30 Jul 11:32
@DEKHTIARJonathan DEKHTIARJonathan
1.9.1
2468881
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TensorLayer 1.9.1

Release Note

This version is identical to 1.9.0 but fix the issue with TF 1.10.0: https://stackoverflow.com/questions/51593126/tensorlayer-fails-with-tensorflow-1-10-0rc0#51593186

Changelog

  • Issue with tensorflow 1.10.0 fixed
Assets 6
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TensorLayer 1.9.0

16 Jun 18:30
@DEKHTIARJonathan DEKHTIARJonathan
1.9.0
5f57e8e
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TensorLayer 1.9.0

Release Note

This version was supposed to be release under version: 1.8.6, due to the large amount of changes introduced in this version, it has been decided to release this version under the version: 1.9.0

Changelog

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 added to clean stale issues (PR #573)
    • Changelog Probot 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): 
      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

Assets 6
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TensorLayer 1.8.6rc6

15 Jun 15:49
@DEKHTIARJonathan DEKHTIARJonathan
1.8.6rc6
5e61f27
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TensorLayer 1.8.6rc6 Pre-release
Pre-release

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 added to clean stale issues (PR #573)
    • Changelog Probot 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): 
      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)
  • 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

Assets 6
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TensorLayer 1.8.6rc5

07 Jun 19:51
@DEKHTIARJonathan DEKHTIARJonathan
1.8.6rc5
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TensorLayer 1.8.6rc5 Pre-release
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Changelog

Added

Changed

  • Tensorflow CPU & GPU dependencies moved to separated requirement files in order to allow PyUP.io to parse them (by @DEKHTIARJonathan in #573)
  • The document of LambdaLayer for linking it with ElementwiseLambdaLayer (by @zsdonghao in #587)
  • RTD links point to stable documentation instead of latest used for development (by @DEKHTIARJonathan in #633)
  • TF Version older than 1.6.0 are officially unsupported and raises an exception (by @DEKHTIARJonathan in #644)
  • Readme Badges Updated with Support Python and Tensorflow Versions (by @DEKHTIARJonathan in #644)
  • TL logging API has been consistent with TF logging API and thread-safe (by @DEKHTIARJonathan in #645)
  • Relative Imports changed for absolute imports (by @DEKHTIARJonathan in #657)
  • tl.files refactored into a directory with numerous files (by @DEKHTIARJonathan in #657)
  • tl.files.voc_dataset fixed because of original Pascal VOC website was down (by @DEKHTIARJonathan in #657)
  • extra requirements hidden inside the library added in the project requirements (by @DEKHTIARJonathan in #657)
  • requirements files refactored in requirements/ directory (by @DEKHTIARJonathan in #657)
  • README.md and other markdown files have been refactored and cleaned. (by @zsdonghao @DEKHTIARJonathan @luomai in #639)
  • Ternary Convolution Layer added in unittest (by @DEKHTIARJonathan in #658)
  • Convolution Layers unittests have been cleaned & refactored (by @DEKHTIARJonathan in #658)
  • All the tests are now using a DEBUG level verbosity when run individualy (by @DEKHTIARJonathan in #660)
  • tf.identity as activation is ignored, thus reducing the size of the graph by removing useless operation (by @DEKHTIARJonathan in #667)
  • argument dictionaries are now checked and saved within the Layer Base Class (by @DEKHTIARJonathan in #667)
  • Layer Base Class now presenting methods to update faultlessly all_layers, all_params, and all_drop (by @DEKHTIARJonathan in #675)
  • Input Layers have been removed from tl.layers.core and added to tl.layers.inputs (by @DEKHTIARJonathan in #675)
  • Input Layers are now considered as true layers in the graph (they represent a placeholder), unittests have been updated (by @DEKHTIARJonathan in #675)
  • Layer API is simplified, with automatic feeding prev_layer into self.inputs (by @DEKHTIARJonathan in #675)

Deprecated

  • tl.layers.TimeDistributedLayer argurment args is deprecated in favor of layer_args (by @DEKHTIARJonathan in #667)

Removed

Fixed

Dependencies Update

Contributors

@lgarithm @DEKHTIARJonathan @2wins @One-sixth @zsdonghao @luomai

Assets 6
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