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88 lines
3.2 KiB
88 lines
3.2 KiB
7 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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#include "paddle/operators/rmsprop_op.h"
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namespace paddle {
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namespace operators {
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class RmspropOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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protected:
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void InferShape(framework::InferShapeContextBase *ctx) const override {
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PADDLE_ENFORCE(ctx->HasInput("Param"),
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"Input(param) of RmspropOp should not be null.");
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PADDLE_ENFORCE(ctx->HasInput("Grad"),
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"Input(grad) of RmspropOp should not be null.");
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PADDLE_ENFORCE(ctx->HasInput("Moment"),
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"Input(moment) of RmspropOp should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput("ParamOut"),
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"Output(param_out) of RmspropOp should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput("MomentOut"),
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"Output(moment_out) of RmspropOp should not be null.");
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auto param_dim = ctx->GetInputDim("Param");
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PADDLE_ENFORCE_EQ(
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param_dim, ctx->GetInputDim("Grad"),
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"Param and grad input of RmspropOp should have the same dimension.");
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PADDLE_ENFORCE_EQ(
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param_dim, ctx->GetInputDim("Moment"),
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"Param and moment input of RmspropOp should have the same dimension.");
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ctx->SetOutputDim("ParamOut", param_dim);
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ctx->SetOutputDim("MomentOut", param_dim);
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}
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};
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class RmspropOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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RmspropOpMaker(framework::OpProto *proto,
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framework::OpAttrChecker *op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("Param", "Input parameter");
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AddInput("Grad", "Input gradient");
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AddInput("Moment", "Second moment");
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AddOutput("ParamOut", "Output parameter");
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AddOutput("MomentOut", "Output second moment");
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AddAttr<float>("learningRate", "Learning rate");
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AddAttr<float>("epsilon", "Constant for numerical stability");
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AddAttr<float>("decayRate", "Decay rate for moving average of gradients");
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AddComment(R"DOC(
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RMSprop
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MomentOut = decayRate * Moment + (1 - decayRate) * Grad * Grad
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ParamOut = Param - learningRate * Grad / (sqrt(MomentOut) + epsilon)
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The original slide(Slide 29 of
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http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf)
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does not have the epsilon attribute. It is added here for numerical stability
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to avoid division by zero.
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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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namespace ops = paddle::operators;
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REGISTER_OP_WITHOUT_GRADIENT(rmsprop, ops::RmspropOp, ops::RmspropOpMaker);
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REGISTER_OP_CPU_KERNEL(rmsprop,
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ops::RmspropOpKernel<paddle::platform::CPUPlace, float>);
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