48 lines
1.7 KiB
Python
48 lines
1.7 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.ops.nn_ops.Cross."""
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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 test_util
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from tensorflow.python.ops import array_ops
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from tensorflow.python.ops import gradient_checker
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from tensorflow.python.ops import math_ops
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from tensorflow.python.platform import test
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class CrossOpTest(test.TestCase):
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@test_util.run_deprecated_v1
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def testGradientRandomValues(self):
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with self.cached_session():
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us = [2, 3]
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u = array_ops.reshape(
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[0.854, -0.616, 0.767, 0.725, -0.927, 0.159], shape=us)
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v = array_ops.reshape(
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[-0.522, 0.755, 0.407, -0.652, 0.241, 0.247], shape=us)
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s = math_ops.cross(u, v)
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jacob_u, jacob_v = gradient_checker.compute_gradient([u, v], [us, us], s,
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us)
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self.assertAllClose(jacob_u[0], jacob_u[1], rtol=1e-3, atol=1e-3)
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self.assertAllClose(jacob_v[0], jacob_v[1], rtol=1e-3, atol=1e-3)
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if __name__ == "__main__":
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test.main()
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