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Release 1.5.3
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README.md

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@@ -20,7 +20,7 @@ TensorLayer is a deep learning and reinforcement learning library based on [Goog
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# What's New
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* Release [Flickr dataset loader](http://press.liacs.nl/mirflickr/mirdownload.html), see [load_flickr25k](http://tensorlayer.readthedocs.io/en/latest/modules/files.html#flickr25k) and [load_flickr1M](http://tensorlayer.readthedocs.io/en/latest/modules/files.html#flickr1m).
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* Release [SpatialTransformer2dAffineLayer](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#spatial-transformer) for [Spatial Transformer Networks](https://github.com/zsdonghao/Spatial-Transformer-Nets) see [example code](https://github.com/zsdonghao/Spatial-Transformer-Nets).
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* Release [Sub-pixel Convolution](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#super-resolution-layer) for Super-resolution see [SRGAN code](https://github.com/zsdonghao/SRGAN)
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* Release [Sub-pixel Convolution](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#super-resolution-layer) for Super-resolution see [SRGAN code](https://github.com/zsdonghao/SRGAN).
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* Join [Slack](https://join.slack.com/tensorlayer/shared_invite/MTk1MjM0NDk5MDg5LTE0OTcwOTQyNTEtODFjY2QzYjdmZQ) Now.
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* [Attention Seq2seq](https://github.com/zsdonghao/tensorlayer/issues/164) help wanted.
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* You can now use TensorLayer with [TF-Slim](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#connect-tf-slim) and [Keras](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#connect-keras) together!

docs/conf.py

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# built documents.
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#
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# The short X.Y version.
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version = '1.5.2'
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version = '1.5.3'
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# The full version, including alpha/beta/rc tags.
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release = '1.5.2'
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release = '1.5.3'
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# The language for content autogenerated by Sphinx. Refer to documentation
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# for a list of supported languages.
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# The name for this set of Sphinx documents.
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# "<project> v<release> documentation" by default.
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#
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# html_title = 'TensorLayer v1.5.2'
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# html_title = 'TensorLayer v1.5.3'
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# A shorter title for the navigation bar. Default is the same as html_title.
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#

setup.py

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setup(
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name = "tensorlayer",
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version = "1.5.2",
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version = "1.5.3",
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include_package_data=True,
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author='TensorLayer Contributors',
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author_email='[email protected]',

tensorlayer/__init__.py

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act = activation
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vis = visualize
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__version__ = "1.5.2"
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__version__ = "1.5.3"
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global_flag = {}
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global_dict = {}

tensorlayer/files.py

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@@ -536,8 +536,6 @@ def load_flickr25k_dataset(tag='sky', path="data/flickr25k", n_threads=50, print
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images = visualize.read_images(images_list, folder_imgs, n_threads=n_threads, printable=printable)
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return images
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def load_flickr1M_dataset(tag='sky', size=10, path="data/flickr1M", n_threads=50, printable=False):
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"""Returns a list of images by a given tag from Flickr1M dataset,
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it will download Flickr1M from `the official website <http://press.liacs.nl/mirflickr/mirdownload.html>`_
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----------
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- Use 200k images
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>>> images = tl.files.load_flickr1M_dataset(tag='zebra', size=2)
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- Use 1 Million images
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>>> images = tl.files.load_flickr1M_dataset(tag='zebra')
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"""

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