diff --git a/tensorflow/compiler/tests/BUILD b/tensorflow/compiler/tests/BUILD index f545c6be143..455dcdb1de2 100644 --- a/tensorflow/compiler/tests/BUILD +++ b/tensorflow/compiler/tests/BUILD @@ -787,6 +787,23 @@ tf_xla_py_test( ], ) +tf_xla_py_test( + name = "unstack_test", + size = "medium", + srcs = ["unstack_test.py"], + shard_count = 5, + tags = ["optonly"], + deps = [ + ":xla_test", + "//tensorflow/python:array_ops", + "//tensorflow/python:framework_for_generated_wrappers", + "//tensorflow/python:math_ops", + "//tensorflow/python:platform_test", + "//tensorflow/python:training", + "@absl_py//absl/testing:parameterized", + ], +) + tf_xla_py_test( name = "random_ops_test", size = "small", diff --git a/tensorflow/compiler/tests/unstack_test.py b/tensorflow/compiler/tests/unstack_test.py new file mode 100644 index 00000000000..93c3982cf3b --- /dev/null +++ b/tensorflow/compiler/tests/unstack_test.py @@ -0,0 +1,46 @@ +# 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 __future__ import absolute_import +from __future__ import division +from __future__ import print_function + +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.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.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()