cab28a0bb1
1. Change all imports that uses keras.utils to be explicit import of individual module. 2. Removed deprecated util imports in keras_preprocessing. 3. Moved all the public symbol from __init__.py to all_utils.py, which is used by keras/application for injection. PiperOrigin-RevId: 273327600
52 lines
1.9 KiB
Python
52 lines
1.9 KiB
Python
# Copyright 2017 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 np_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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import numpy as np
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from tensorflow.python.keras.utils import np_utils
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from tensorflow.python.platform import test
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class TestNPUtils(test.TestCase):
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def test_to_categorical(self):
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num_classes = 5
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shapes = [(1,), (3,), (4, 3), (5, 4, 3), (3, 1), (3, 2, 1)]
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expected_shapes = [(1, num_classes), (3, num_classes), (4, 3, num_classes),
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(5, 4, 3, num_classes), (3, num_classes),
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(3, 2, num_classes)]
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labels = [np.random.randint(0, num_classes, shape) for shape in shapes]
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one_hots = [
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np_utils.to_categorical(label, num_classes) for label in labels]
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for label, one_hot, expected_shape in zip(labels,
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one_hots,
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expected_shapes):
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# Check shape
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self.assertEqual(one_hot.shape, expected_shape)
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# Make sure there is only one 1 in a row
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self.assertTrue(np.all(one_hot.sum(axis=-1) == 1))
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# Get original labels back from one hots
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self.assertTrue(np.all(
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np.argmax(one_hot, -1).reshape(label.shape) == label))
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if __name__ == '__main__':
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test.main()
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