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93 lines (70 loc) · 2.89 KB
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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.kernels.bcast_ops."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from tensorflow.python.ops.gen_array_ops import _broadcast_gradient_args
class BcastOpsTest(tf.test.TestCase):
def _GetGradientArgs(self, xs, ys):
with self.test_session() as sess:
return sess.run(_broadcast_gradient_args(xs, ys))
def testBasic(self):
r0, r1 = self._GetGradientArgs([2, 3, 5], [1])
self.assertAllEqual(r0, [])
self.assertAllEqual(r1, [0, 1, 2])
r0, r1 = self._GetGradientArgs([1], [2, 3, 5])
self.assertAllEqual(r0, [0, 1, 2])
self.assertAllEqual(r1, [])
r0, r1 = self._GetGradientArgs([2, 3, 5], [5])
self.assertAllEqual(r0, [])
self.assertAllEqual(r1, [0, 1])
r0, r1 = self._GetGradientArgs([5], [2, 3, 5])
self.assertAllEqual(r0, [0, 1])
self.assertAllEqual(r1, [])
r0, r1 = self._GetGradientArgs([2, 3, 5], [3, 5])
self.assertAllEqual(r0, [])
self.assertAllEqual(r1, [0])
r0, r1 = self._GetGradientArgs([3, 5], [2, 3, 5])
self.assertAllEqual(r0, [0])
self.assertAllEqual(r1, [])
r0, r1 = self._GetGradientArgs([2, 3, 5], [3, 1])
self.assertAllEqual(r0, [])
self.assertAllEqual(r1, [0, 2])
r0, r1 = self._GetGradientArgs([3, 1], [2, 3, 5])
self.assertAllEqual(r0, [0, 2])
self.assertAllEqual(r1, [])
r0, r1 = self._GetGradientArgs([2, 1, 5], [3, 1])
self.assertAllEqual(r0, [1])
self.assertAllEqual(r1, [0, 2])
r0, r1 = self._GetGradientArgs([3, 1], [2, 1, 5])
self.assertAllEqual(r0, [0, 2])
self.assertAllEqual(r1, [1])
def testZeroDims(self):
r0, r1 = self._GetGradientArgs([2, 0, 3, 0, 5], [3, 0, 5])
self.assertAllEqual(r0, [])
self.assertAllEqual(r1, [0, 1])
r0, r1 = self._GetGradientArgs([3, 0, 5], [2, 0, 3, 0, 5])
self.assertAllEqual(r0, [0, 1])
self.assertAllEqual(r1, [])
r0, r1 = self._GetGradientArgs([2, 0, 3, 0, 5], [3, 1, 5])
self.assertAllEqual(r0, [])
self.assertAllEqual(r1, [0, 1, 3])
r0, r1 = self._GetGradientArgs([3, 1, 5], [2, 0, 3, 0, 5])
self.assertAllEqual(r0, [0, 1, 3])
self.assertAllEqual(r1, [])
if __name__ == "__main__":
tf.test.main()