mirror of
https://github.com/wassname/ray.git
synced 2026-07-19 11:27:32 +08:00
Eric LiangandPhilipp Moritz
06241daf61
* add tf metrics * comments * fix network scopes * add doc * use format string * fix trace level * plot intermediate and final sgd stats * add back a global step
17 lines
637 B
Python
17 lines
637 B
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import tensorflow as tf
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import tensorflow.contrib.slim as slim
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def vision_net(inputs, num_classes=10):
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with tf.name_scope("vision_net") as net:
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conv1 = slim.conv2d(inputs, 16, [8, 8], 4, scope=net + "conv1")
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conv2 = slim.conv2d(conv1, 32, [4, 4], 2, scope=net + "conv2")
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fc1 = slim.conv2d(conv2, 512, [10, 10], padding="VALID", scope=net + "fc1")
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fc2 = slim.conv2d(fc1, num_classes, [1, 1], activation_fn=None,
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normalizer_fn=None, scope=net + "fc2")
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return tf.squeeze(fc2, [1, 2])
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