47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
# Copyright 2018 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 tensorflow.compiler.tests.unstack."""
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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 absl.testing import parameterized
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import numpy as np
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from tensorflow.compiler.tests import xla_test
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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 UnstackOpTest(xla_test.XLATestCase, parameterized.TestCase):
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def _test(self, size):
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with self.session() as sess:
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x_tf = array_ops.placeholder(np.float32, shape=[size, 512])
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with self.test_scope():
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ret = array_ops.unstack(x_tf)
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ret_vals = sess.run([ret], feed_dict={x_tf: np.zeros([size, 512])})
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self.assertLen(ret_vals[0], size)
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for ret_val in ret_vals[0]:
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self.assertTrue(np.all(ret_val == 0.))
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def testLarge2000(self):
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self._test(2000)
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if __name__ == "__main__":
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test.main()
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