161efd5153
Fix comments. PiperOrigin-RevId: 285447090 Change-Id: I6a328bedbdd19f7892a6cbe2dbde42067e252880
33 lines
1.2 KiB
C++
33 lines
1.2 KiB
C++
/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#include "tensorflow/compiler/xla/array.h"
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namespace xla {
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// Specialization of FillRandom() method for complex64 type. Uses real part of
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// the stddev parameter as the standard deviation value.
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template <>
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void Array<complex64>::FillRandom(const complex64& stddev, const double mean,
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const int seed) {
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std::mt19937 g(seed);
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std::normal_distribution<double> distribution(mean, std::real(stddev));
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for (int64 i = 0; i < num_elements(); ++i) {
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values_[i] = complex64(distribution(g), distribution(g));
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}
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}
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} // namespace xla
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