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119 lines
4.6 KiB
119 lines
4.6 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 "paddle/fluid/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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void InferShape(framework::InferShapeContext *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("MeanSquare"),
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"Input(MeanSquare) of RmspropOp should not be null.");
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PADDLE_ENFORCE(ctx->HasInput("LearningRate"),
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"Input(LearningRate) 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(Momentum_out) of RmspropOp should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput("MeanSquareOut"),
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"Output(MeanSquareOut) 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(param_dim, ctx->GetInputDim("Moment"),
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"Param and Momentum input of RmspropOp "
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"should have the same dimension.");
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PADDLE_ENFORCE_EQ(param_dim, ctx->GetInputDim("MeanSquare"),
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"Param and Momentum input of RmspropOp "
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"should have the same dimension.");
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auto lr_dim = ctx->GetInputDim("LearningRate");
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PADDLE_ENFORCE_EQ(framework::product(lr_dim), 1,
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"Learning Rate should be a scalar.");
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ctx->SetOutputDim("ParamOut", param_dim);
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ctx->SetOutputDim("MomentOut", param_dim);
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ctx->SetOutputDim("MeanSquareOut", 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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void Make() override {
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AddInput("Param",
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"(Tensor, default Tensor<float>) "
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"Input parameter value that has to be updated.");
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AddInput("MeanSquare",
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"(Tensor, default Tensor<float>)"
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" The mean square value that gets updated.");
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AddInput("LearningRate",
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"(Tensor, default Tensor<float>) "
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"The learning rate should be a tensor of size 1.");
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AddInput("Grad",
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"(Tensor, default Tensor<float>) "
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"Input gradient of the parameter.");
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AddInput("Moment",
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"(Tensor, default Tensor<float>) The moment that gets updated.");
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AddOutput("ParamOut", "(Tensor) Output updated parameter value.");
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AddOutput("MomentOut", "(Tensor) Output updated moment.");
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AddOutput("MeanSquareOut", "(Tensor) Output Mean squared updated value.");
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AddAttr<float>("epsilon",
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"(float, default 1e-10) Constant "
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"for numerical stability.")
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.SetDefault(1.0e-10f);
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AddAttr<float>("decay",
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"(float, default 0.9) "
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"Discounting factor for coming gradient.")
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.SetDefault(0.9f);
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AddAttr<float>("momentum", "(float, default 0.0) Constant value.")
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.SetDefault(0.0f);
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AddComment(R"DOC(
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Rmsprop Optimizer.
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$$
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MeanSquareOut = decay * MeanSquare + (1 - decay) * Grad * Grad \\
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MomentOut = momentum * Moment +
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\frac{LearningRate * Grad}{\sqrt{MeanSquareOut + epsilon}} \\
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ParamOut = Param - MomentOut
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$$
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The original slides that proposed Rmsprop: Slide 29 of
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http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf)
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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(
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rmsprop, ops::RmspropOpKernel<paddle::platform::CPUDeviceContext, float>);
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