120 lines
4.8 KiB
Python
120 lines
4.8 KiB
Python
# Copyright 2015 The TensorFlow Authors. 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 tf.layers.utils."""
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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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from tensorflow.python.framework import constant_op
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from tensorflow.python.framework import test_util
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from tensorflow.python.layers import utils
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from tensorflow.python.ops import array_ops
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from tensorflow.python.platform import test
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class ConvUtilsTest(test.TestCase):
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def testConvertDataFormat(self):
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self.assertEqual('NCDHW', utils.convert_data_format('channels_first', 5))
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self.assertEqual('NCHW', utils.convert_data_format('channels_first', 4))
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self.assertEqual('NCW', utils.convert_data_format('channels_first', 3))
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self.assertEqual('NHWC', utils.convert_data_format('channels_last', 4))
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self.assertEqual('NWC', utils.convert_data_format('channels_last', 3))
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self.assertEqual('NDHWC', utils.convert_data_format('channels_last', 5))
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with self.assertRaises(ValueError):
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utils.convert_data_format('invalid', 2)
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def testNormalizeTuple(self):
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self.assertEqual((2, 2, 2), utils.normalize_tuple(2, n=3, name='strides'))
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self.assertEqual(
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(2, 1, 2), utils.normalize_tuple((2, 1, 2), n=3, name='strides'))
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with self.assertRaises(ValueError):
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utils.normalize_tuple((2, 1), n=3, name='strides')
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with self.assertRaises(ValueError):
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utils.normalize_tuple(None, n=3, name='strides')
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def testNormalizeDataFormat(self):
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self.assertEqual(
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'channels_last', utils.normalize_data_format('Channels_Last'))
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self.assertEqual(
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'channels_first', utils.normalize_data_format('CHANNELS_FIRST'))
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with self.assertRaises(ValueError):
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utils.normalize_data_format('invalid')
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def testNormalizePadding(self):
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self.assertEqual('same', utils.normalize_padding('SAME'))
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self.assertEqual('valid', utils.normalize_padding('VALID'))
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with self.assertRaises(ValueError):
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utils.normalize_padding('invalid')
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def testConvOutputLength(self):
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self.assertEqual(4, utils.conv_output_length(4, 2, 'same', 1, 1))
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self.assertEqual(2, utils.conv_output_length(4, 2, 'same', 2, 1))
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self.assertEqual(3, utils.conv_output_length(4, 2, 'valid', 1, 1))
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self.assertEqual(2, utils.conv_output_length(4, 2, 'valid', 2, 1))
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self.assertEqual(5, utils.conv_output_length(4, 2, 'full', 1, 1))
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self.assertEqual(3, utils.conv_output_length(4, 2, 'full', 2, 1))
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self.assertEqual(2, utils.conv_output_length(5, 2, 'valid', 2, 2))
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def testConvInputLength(self):
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self.assertEqual(3, utils.conv_input_length(4, 2, 'same', 1))
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self.assertEqual(2, utils.conv_input_length(2, 2, 'same', 2))
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self.assertEqual(4, utils.conv_input_length(3, 2, 'valid', 1))
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self.assertEqual(4, utils.conv_input_length(2, 2, 'valid', 2))
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self.assertEqual(3, utils.conv_input_length(4, 2, 'full', 1))
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self.assertEqual(4, utils.conv_input_length(3, 2, 'full', 2))
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def testDeconvOutputLength(self):
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self.assertEqual(4, utils.deconv_output_length(4, 2, 'same', 1))
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self.assertEqual(8, utils.deconv_output_length(4, 2, 'same', 2))
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self.assertEqual(5, utils.deconv_output_length(4, 2, 'valid', 1))
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self.assertEqual(8, utils.deconv_output_length(4, 2, 'valid', 2))
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self.assertEqual(3, utils.deconv_output_length(4, 2, 'full', 1))
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self.assertEqual(6, utils.deconv_output_length(4, 2, 'full', 2))
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class ConstantValueTest(test.TestCase):
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@test_util.run_deprecated_v1
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def testConstantValue(self):
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f1 = lambda: constant_op.constant(5)
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f2 = lambda: constant_op.constant(32)
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# Boolean pred
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self.assertEqual(5, utils.constant_value(utils.smart_cond(True, f1, f2)))
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self.assertEqual(32, utils.constant_value(utils.smart_cond(False, f1, f2)))
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# Integer pred
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self.assertEqual(5, utils.constant_value(utils.smart_cond(1, f1, f2)))
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self.assertEqual(32, utils.constant_value(utils.smart_cond(0, f1, f2)))
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# Unknown pred
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pred = array_ops.placeholder_with_default(True, shape=())
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self.assertIsNone(utils.constant_value(utils.smart_cond(pred, f1, f2)))
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#Error case
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with self.assertRaises(TypeError):
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utils.constant_value(5)
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if __name__ == '__main__':
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test.main()
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