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							62 lines
						
					
					
						
							2.2 KiB
						
					
					
				/* 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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#include "paddle/operators/sgd_op.h"
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#include "paddle/framework/op_registry.h"
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#include "paddle/framework/tensor.h"
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namespace paddle {
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namespace operators {
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class SGDOp : public framework::OperatorWithKernel {
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protected:
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  void InferShape(
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      const std::vector<const framework::Tensor *> &inputs,
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      const std::vector<framework::Tensor *> &outputs) const override {
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    PADDLE_ENFORCE(inputs.size() == 2, "Input size of SGDOp must be two");
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    PADDLE_ENFORCE(outputs.size() == 1, "Output size of SGDOp must be one");
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    PADDLE_ENFORCE(inputs[0] != nullptr, "inputs[0] mast be set");
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    PADDLE_ENFORCE(inputs[1] != nullptr, "inputs[1] mast be set");
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    PADDLE_ENFORCE(outputs[0] != nullptr, "outputs[0] mast be set");
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    PADDLE_ENFORCE(inputs[0]->dims() == inputs[1]->dims(),
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                   "Two input of SGD Op's dimension must be same.");
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    outputs[0]->set_dims(inputs[0]->dims());
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  }
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};
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class SGDOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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  SGDOpMaker(framework::OpProto *proto, framework::OpAttrChecker *op_checker)
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      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
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    AddInput("param", "input parameter");
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    AddInput("grad", "input gradient");
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    AddOutput("param_out", "output parameter");
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    AddAttr<float>("learning_rate", "learning rate of sgd");
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    AddComment(R"DOC(
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Simplest sgd algorithm.
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param_out = param - learning_rate * grad;
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)DOC");
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  }
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};
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}  // namespace operators
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}  // namespace paddle
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REGISTER_OP(sgd, paddle::operators::SGDOp, paddle::operators::SGDOpMaker);
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typedef paddle::operators::SGDOpKernel<::paddle::platform::CPUPlace, float>
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    SGDOpKernel_CPU_float;
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REGISTER_OP_CPU_KERNEL(sgd, SGDOpKernel_CPU_float);
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