| # Copyright 2018 The TensorFlow Authors. All Rights Reserved. |
| # |
| # Licensed under the Apache License, Version 2.0 (the "License"); |
| # you may not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # ============================================================================== |
| """Tests for tensorflow.compiler.tests.unstack.""" |
| |
| from absl.testing import parameterized |
| import numpy as np |
| |
| from tensorflow.compiler.tests import xla_test |
| from tensorflow.python.ops import array_ops |
| from tensorflow.python.ops import array_ops_stack # pylint: disable=g-direct-tensorflow-import |
| from tensorflow.python.platform import test |
| |
| |
| class UnstackOpTest(xla_test.XLATestCase, parameterized.TestCase): |
| |
| def _test(self, size): |
| with self.session() as sess: |
| x_tf = array_ops.placeholder(np.float32, shape=[size, 512]) |
| with self.test_scope(): |
| ret = array_ops_stack.unstack(x_tf) |
| ret_vals = sess.run([ret], feed_dict={x_tf: np.zeros([size, 512])}) |
| self.assertLen(ret_vals[0], size) |
| for ret_val in ret_vals[0]: |
| self.assertTrue(np.all(ret_val == 0.)) |
| |
| def testLarge2000(self): |
| self._test(2000) |
| |
| |
| if __name__ == "__main__": |
| test.main() |