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Mar 19, 2018
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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -85,7 +85,7 @@ Examples can be found [in this folder](https://github.com/zsdonghao/tensorlayer/
- VGG 19 (ImageNet). Classification task, see [tutorial_vgg19.py](https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_vgg19.py).
- InceptionV3 (ImageNet). Classification task, see [tutorial\_inceptionV3_tfslim.py](https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_inceptionV3_tfslim.py).
- SqueezeNet (ImageNet). Classification task, see [tutorial_squeezenet.py](https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_squeezenet.py)
- BinaryNet (MNIST). Classification task, see [tutorial_squeezenet.py](https://github.com/tensorlayer/tensorlayer/blob/master/example/tutorial_binarynet_mnist_cnn.py)
- BinaryNet (MNIST). Classification task, see [tutorial_binarynet_mnist_cnn.py](https://github.com/tensorlayer/tensorlayer/blob/master/example/tutorial_binarynet_mnist_cnn.py)
- Wide ResNet (CIFAR) by [ritchieng](https://github.com/ritchieng/wideresnet-tensorlayer).
- More CNN implementations of [TF-Slim](https://github.com/tensorflow/models/tree/master/research/slim) can be connected to TensorLayer via SlimNetsLayer.
- [Spatial Transformer Networks](https://arxiv.org/abs/1506.02025) by [zsdonghao](https://github.com/zsdonghao/Spatial-Transformer-Nets).
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6 changes: 3 additions & 3 deletions docs/conf.py
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Expand Up @@ -67,9 +67,9 @@
# built documents.
#
# The short X.Y version.
version = '1.8.2'
version = '1.8.3rc0'
# The full version, including alpha/beta/rc tags.
release = '1.8.2'
release = '1.8.3rc0'

# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
Expand Down Expand Up @@ -143,7 +143,7 @@
# The name for this set of Sphinx documents.
# "<project> v<release> documentation" by default.
#
# html_title = 'TensorLayer v1.8.2'
# html_title = 'TensorLayer v1.8.3rc0'

# A shorter title for the navigation bar. Default is the same as html_title.
#
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2 changes: 1 addition & 1 deletion docs/user/example.rst
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Expand Up @@ -22,7 +22,7 @@ Computer Vision
- VGG 19 (ImageNet). Classification task, see `tutorial_vgg19.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_vgg19.py>`_.
- InceptionV3 (ImageNet). Classification task, see `tutorial_inceptionV3_tfslim.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_inceptionV3_tfslim.py>`_.
- SqueezeNet (ImageNet). Classification task, see `tutorial_squeezenet.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_squeezenet.py>`_.
- BinaryNet (MNIST). Classification task, see `tutorial_squeezenet.py <https://github.com/tensorlayer/tensorlayer/blob/master/example/tutorial_binarynet_mnist_cnn.py>`_.
- BinaryNet (MNIST). Classification task, see `tutorial_binarynet_mnist_cnn.py <https://github.com/tensorlayer/tensorlayer/blob/master/example/tutorial_binarynet_mnist_cnn.py>`_.
- Wide ResNet (CIFAR) by `ritchieng <https://github.com/ritchieng/wideresnet-tensorlayer>`_.
- More CNN implementations of `TF-Slim <https://github.com/tensorflow/models/tree/master/research/slim>`_ can be connected to TensorLayer via SlimNetsLayer.
- `Spatial Transformer Networks <https://arxiv.org/abs/1506.02025>`_ by `zsdonghao <https://github.com/zsdonghao/Spatial-Transformer-Nets>`__.
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1 change: 1 addition & 0 deletions example/tutorial_inceptionV3_tfslim.py
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Expand Up @@ -132,6 +132,7 @@ def print_prob(prob):
img1 = load_image("data/puzzle.jpeg") # test data in github: https://github.com/zsdonghao/tensorlayer/tree/master/example/data
img1 = img1.reshape((1, 299, 299, 3))

prob = sess.run(probs, feed_dict={x: img1}) # the 1st time need time to compile
start_time = time.time()
prob = sess.run(probs, feed_dict={x: img1})
print("End time : %.5ss" % (time.time() - start_time))
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2 changes: 1 addition & 1 deletion example/tutorial_squeezenet.py
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Expand Up @@ -113,7 +113,7 @@ def squeezenet(x, is_train=True, reuse=False):

img = tl.vis.read_image('data/tiger.jpeg', '')
img = tl.prepro.imresize(img, (224, 224))
prob = sess.run(softmax, feed_dict={x: [img]})[0]
prob = sess.run(softmax, feed_dict={x: [img]})[0] # the 1st time need time to compile
start_time = time.time()
prob = sess.run(softmax, feed_dict={x: [img]})[0]
print(" End time : %.5ss" % (time.time() - start_time))
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2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -10,7 +10,7 @@

setup(
name="tensorlayer",
version="1.8.2",
version="1.8.3rc0",
include_package_data=True,
author='TensorLayer Contributors',
author_email='[email protected]',
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2 changes: 1 addition & 1 deletion tensorlayer/__init__.py
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Expand Up @@ -23,7 +23,7 @@
act = activation
vis = visualize

__version__ = "1.8.2"
__version__ = "1.8.3rc0"

global_flag = {}
global_dict = {}