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40 lines
1.3 KiB
40 lines
1.3 KiB
8 years ago
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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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#pragma once
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#include "glog/logging.h"
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#include "paddle/framework/operator.h"
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namespace paddle {
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namespace operators {
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template <typename Place, typename T>
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class SGDOpKernel : public framework::OpKernel {
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public:
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void Compute(const framework::KernelContext& ctx) const override {
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auto param = ctx.Input("param")->Get<framework::Tensor>();
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auto grad = ctx.Input("grad")->Get<framework::Tensor>();
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auto* param_out = ctx.Output(0)->GetMutable<framework::Tensor>();
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float lr = ctx.op_.GetAttr<float>("learning_rate");
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param_out->mutable_data<T>(ctx.GetPlace());
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param_out->flat<T>().device(*(ctx.GetEigenDevice<Place>())) =
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param.flat<T>() - lr * grad.flat<T>();
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}
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};
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} // namespace operators
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} // namespace paddle
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