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# Copyright 2015 Google Inc. 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.ops.reverse_sequence_op."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow.python.platform
import numpy as np
import tensorflow as tf
class WhereOpTest(tf.test.TestCase):
def _testWhere(self, x, truth, expected_err_re=None):
with self.test_session():
ans = tf.where(x)
self.assertEqual([None, x.ndim], ans.get_shape().as_list())
if expected_err_re is None:
tf_ans = ans.eval()
self.assertAllClose(tf_ans, truth, atol=1e-10)
else:
with self.assertRaisesOpError(expected_err_re):
ans.eval()
def testBasicMat(self):
x = np.asarray([[True, False], [True, False]])
# Ensure RowMajor mode
truth = np.asarray([[0, 0], [1, 0]], dtype=np.int64)
self._testWhere(x, truth)
def testBasic3Tensor(self):
x = np.asarray(
[[[True, False], [True, False]], [[False, True], [False, True]],
[[False, False], [False, True]]])
# Ensure RowMajor mode
truth = np.asarray(
[[0, 0, 0], [0, 1, 0], [1, 0, 1], [1, 1, 1], [2, 1, 1]],
dtype=np.int64)
self._testWhere(x, truth)
if __name__ == "__main__":
tf.test.main()
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