154 lines
4.9 KiB
Python
154 lines
4.9 KiB
Python
# Copyright 2015 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.kernels.bcast_ops."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from tensorflow.python.framework import constant_op
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from tensorflow.python.framework import dtypes
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from tensorflow.python.ops.gen_array_ops import broadcast_args
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from tensorflow.python.ops.gen_array_ops import broadcast_gradient_args
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from tensorflow.python.platform import test
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class BcastOpsTest(test.TestCase):
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def _GetBroadcastShape(self, xs, ys):
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return self.evaluate(broadcast_args(xs, ys))
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def _GetGradientArgs(self, xs, ys):
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return self.evaluate(broadcast_gradient_args(xs, ys))
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def testBasic(self):
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r = self._GetBroadcastShape([2, 3, 5], [1])
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self.assertAllEqual(r, [2, 3, 5])
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r = self._GetBroadcastShape([1], [2, 3, 5])
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self.assertAllEqual(r, [2, 3, 5])
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r = self._GetBroadcastShape([2, 3, 5], [5])
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self.assertAllEqual(r, [2, 3, 5])
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r = self._GetBroadcastShape([5], [2, 3, 5])
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self.assertAllEqual(r, [2, 3, 5])
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r = self._GetBroadcastShape([2, 3, 5], [3, 5])
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self.assertAllEqual(r, [2, 3, 5])
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r = self._GetBroadcastShape([3, 5], [2, 3, 5])
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self.assertAllEqual(r, [2, 3, 5])
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r = self._GetBroadcastShape([2, 3, 5], [3, 1])
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self.assertAllEqual(r, [2, 3, 5])
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r = self._GetBroadcastShape([3, 1], [2, 3, 5])
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self.assertAllEqual(r, [2, 3, 5])
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r = self._GetBroadcastShape([2, 1, 5], [3, 1])
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self.assertAllEqual(r, [2, 3, 5])
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r = self._GetBroadcastShape([3, 1], [2, 1, 5])
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self.assertAllEqual(r, [2, 3, 5])
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def testBasicGradient(self):
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r0, r1 = self._GetGradientArgs([2, 3, 5], [1])
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self.assertAllEqual(r0, [])
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self.assertAllEqual(r1, [0, 1, 2])
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r0, r1 = self._GetGradientArgs([1], [2, 3, 5])
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self.assertAllEqual(r0, [0, 1, 2])
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self.assertAllEqual(r1, [])
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r0, r1 = self._GetGradientArgs([2, 3, 5], [5])
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self.assertAllEqual(r0, [])
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self.assertAllEqual(r1, [0, 1])
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r0, r1 = self._GetGradientArgs([5], [2, 3, 5])
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self.assertAllEqual(r0, [0, 1])
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self.assertAllEqual(r1, [])
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r0, r1 = self._GetGradientArgs([2, 3, 5], [3, 5])
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self.assertAllEqual(r0, [])
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self.assertAllEqual(r1, [0])
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r0, r1 = self._GetGradientArgs([3, 5], [2, 3, 5])
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self.assertAllEqual(r0, [0])
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self.assertAllEqual(r1, [])
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r0, r1 = self._GetGradientArgs([2, 3, 5], [3, 1])
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self.assertAllEqual(r0, [])
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self.assertAllEqual(r1, [0, 2])
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r0, r1 = self._GetGradientArgs([3, 1], [2, 3, 5])
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self.assertAllEqual(r0, [0, 2])
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self.assertAllEqual(r1, [])
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r0, r1 = self._GetGradientArgs([2, 1, 5], [3, 1])
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self.assertAllEqual(r0, [1])
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self.assertAllEqual(r1, [0, 2])
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r0, r1 = self._GetGradientArgs([3, 1], [2, 1, 5])
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self.assertAllEqual(r0, [0, 2])
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self.assertAllEqual(r1, [1])
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def testZeroDims(self):
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r = self._GetBroadcastShape([2, 0, 3, 0, 5], [3, 0, 5])
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self.assertAllEqual(r, [2, 0, 3, 0, 5])
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r = self._GetBroadcastShape([3, 0, 5], [2, 0, 3, 0, 5])
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self.assertAllEqual(r, [2, 0, 3, 0, 5])
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r = self._GetBroadcastShape([2, 0, 3, 0, 5], [3, 1, 5])
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self.assertAllEqual(r, [2, 0, 3, 0, 5])
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r = self._GetBroadcastShape([3, 1, 5], [2, 0, 3, 0, 5])
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self.assertAllEqual(r, [2, 0, 3, 0, 5])
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def testZeroDimsGradient(self):
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r0, r1 = self._GetGradientArgs([2, 0, 3, 0, 5], [3, 0, 5])
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self.assertAllEqual(r0, [])
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self.assertAllEqual(r1, [0, 1])
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r0, r1 = self._GetGradientArgs([3, 0, 5], [2, 0, 3, 0, 5])
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self.assertAllEqual(r0, [0, 1])
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self.assertAllEqual(r1, [])
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r0, r1 = self._GetGradientArgs([2, 0, 3, 0, 5], [3, 1, 5])
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self.assertAllEqual(r0, [])
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self.assertAllEqual(r1, [0, 1, 3])
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r0, r1 = self._GetGradientArgs([3, 1, 5], [2, 0, 3, 0, 5])
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self.assertAllEqual(r0, [0, 1, 3])
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self.assertAllEqual(r1, [])
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def testDataTypes(self):
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for dtype in [dtypes.int32, dtypes.int64]:
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r = self._GetBroadcastShape(
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constant_op.constant([2, 3, 5], dtype=dtype),
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constant_op.constant([1], dtype=dtype))
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self.assertAllEqual(r, [2, 3, 5])
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r0, r1 = self._GetGradientArgs(
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constant_op.constant([2, 3, 5], dtype=dtype),
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constant_op.constant([1], dtype=dtype))
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self.assertAllEqual(r0, [])
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self.assertAllEqual(r1, [0, 1, 2])
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if __name__ == "__main__":
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test.main()
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