56 lines
1.9 KiB
56 lines
1.9 KiB
/* Copyright (c) 2016 PaddlePaddle 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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#include <string>
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#include "paddle/fluid/operators/mean_op.h"
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namespace paddle {
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namespace operators {
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using framework::DataLayout;
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template <typename T>
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class GaussianMKLDNNKernel : public paddle::framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& context) const override {
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float mean = context.Attr<float>("mean");
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float std = context.Attr<float>("std");
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auto* tensor = context.Output<framework::Tensor>("Out");
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T* data = tensor->mutable_data<T>(context.GetPlace());
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unsigned int seed = static_cast<unsigned int>(context.Attr<int>("seed"));
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std::minstd_rand engine;
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if (seed == 0) {
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seed = std::random_device()();
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}
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engine.seed(seed);
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std::normal_distribution<T> dist(mean, std);
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int64_t size = tensor->numel();
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for (int64_t i = 0; i < size; ++i) {
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data[i] = dist(engine);
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}
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// The format of output is set as the mkldnn's format
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// TODO(@mozga-intel) The format of matrix sets inside the another layers.
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tensor->set_layout(DataLayout::kMKLDNN);
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tensor->set_format(mkldnn::memory::format::oihw);
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OP_KERNEL(gaussian_random, MKLDNN, ::paddle::platform::CPUPlace,
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ops::GaussianMKLDNNKernel<float>);
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