47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
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# Copyright 2016 Google Inc. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Tests for slim.inception."""
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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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from nets import nets_factory
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class NetworksTest(tf.test.TestCase):
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def testGetNetworkFn(self):
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batch_size = 5
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num_classes = 1000
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for net in nets_factory.networks_map:
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with self.test_session():
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net_fn = nets_factory.get_network_fn(net, num_classes)
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# Most networks use 224 as their default_image_size
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image_size = getattr(net_fn, 'default_image_size', 224)
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inputs = tf.random_uniform((batch_size, image_size, image_size, 3))
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logits, end_points = net_fn(inputs)
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self.assertTrue(isinstance(logits, tf.Tensor))
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self.assertTrue(isinstance(end_points, dict))
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self.assertEqual(logits.get_shape().as_list()[0], batch_size)
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self.assertEqual(logits.get_shape().as_list()[-1], num_classes)
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if __name__ == '__main__':
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tf.test.main()
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