48 lines
1.5 KiB
Python
48 lines
1.5 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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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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import numpy as np
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from tensorflow.python.framework import test_util
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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 TraceTest(test.TestCase):
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def setUp(self):
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x = np.random.seed(0)
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def compare(self, x):
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np_ans = np.trace(x, axis1=-2, axis2=-1)
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with self.cached_session(use_gpu=True):
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tf_ans = math_ops.trace(x).eval()
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self.assertAllClose(tf_ans, np_ans)
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@test_util.run_deprecated_v1
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def testTrace(self):
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for dtype in [np.int32, np.float32, np.float64]:
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for shape in [[2, 2], [2, 3], [3, 2], [2, 3, 2], [2, 2, 2, 3]]:
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x = np.random.rand(np.prod(shape)).astype(dtype).reshape(shape)
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self.compare(x)
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if __name__ == "__main__":
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test.main()
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