wehub-resource-sync
48 lines
1.7 KiB
Python
48 lines
1.7 KiB
Python
# Copyright 2021 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.ops.array_ops.repeat."""
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from tensorflow.compiler.tests import xla_test
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from tensorflow.python.eager import def_function
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from tensorflow.python.framework import dtypes
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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 RepeatTest(xla_test.XLATestCase):
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def test(self):
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# Verifies that bounded dynamic result generated from the Where op can be
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# Reshaped correctly.
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@def_function.function(jit_compile=True)
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def repeat(values, repeats, axis):
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return array_ops.repeat(values, repeats, axis)
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with self.session() as sess:
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with self.test_scope():
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values = array_ops.constant([[1, 2], [3, 4]], dtype=dtypes.int32)
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repeats = array_ops.constant([1, 2], dtype=dtypes.int32)
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y1 = repeat(values, repeats, 0)
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y2 = repeat(values, repeats, 1)
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actual1, actual2 = sess.run([y1, y2])
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self.assertAllEqual(actual1, [[1, 2], [3, 4], [3, 4]])
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self.assertAllEqual(actual2, [[1, 2, 2], [3, 4, 4]])
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if __name__ == "__main__":
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test.main()
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