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130 lines
4.6 KiB
130 lines
4.6 KiB
/* Copyright (c) 2018 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/add_position_encoding_op.h"
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#include <memory>
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namespace paddle {
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namespace operators {
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class AddPositionEncodingOp : 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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OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "AddPositionEncoding");
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OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out",
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"AddPositionEncoding");
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auto x_dims = ctx->GetInputDim("X");
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ctx->SetOutputDim("Out", x_dims);
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ctx->ShareLoD("X", /*->*/ "Out");
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}
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protected:
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framework::OpKernelType GetExpectedKernelType(
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const framework::ExecutionContext& ctx) const override {
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return framework::OpKernelType(
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OperatorWithKernel::IndicateVarDataType(ctx, "X"),
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platform::CPUPlace());
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}
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};
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class AddPositionEncodingOpGrad : 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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if (ctx->HasOutput(framework::GradVarName("X"))) {
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auto out_dims = ctx->GetInputDim(framework::GradVarName("Out"));
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ctx->SetOutputDim(framework::GradVarName("X"), out_dims);
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}
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}
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protected:
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framework::OpKernelType GetExpectedKernelType(
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const framework::ExecutionContext& ctx) const override {
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return framework::OpKernelType(OperatorWithKernel::IndicateVarDataType(
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ctx, framework::GradVarName("Out")),
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platform::CPUPlace());
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}
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};
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class AddPositionEncodingOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("X", "Input of AddPositionEncoding operator");
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AddOutput("Out", "Output of AddPositionEncoding operator");
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AddAttr<float>("alpha", "The scale of Original Embedding.")
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.SetDefault(1.0f)
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.AddCustomChecker([](const float& alpha) {
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PADDLE_ENFORCE_GE(
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alpha, 0.0f,
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platform::errors::InvalidArgument(
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"Attribute 'alpha' must be greater than or equal to 0.0."));
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});
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AddAttr<float>("beta", "The scale of Position Embedding.")
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.SetDefault(1.0f)
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.AddCustomChecker([](const float& beta) {
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PADDLE_ENFORCE_GE(
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beta, 0.0f,
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platform::errors::InvalidArgument(
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"Attribute 'beta' must be greater than or equal to 0.0."));
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});
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AddComment(R"DOC(
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Add Position Encoding Operator.
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The add position encoding calculates the output based on the input, alpha, beta.
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The size of each dimension of the parameters checked in the infer-shape.
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)DOC");
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}
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};
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template <typename T>
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class AddPositionEncodingGradOpMaker : public framework::SingleGradOpMaker<T> {
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public:
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using framework::SingleGradOpMaker<T>::SingleGradOpMaker;
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protected:
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void Apply(GradOpPtr<T> op) const override {
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op->SetType("add_position_encoding_grad");
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op->SetInput(framework::GradVarName("Out"), this->OutputGrad("Out"));
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op->SetOutput(framework::GradVarName("X"), this->InputGrad("X"));
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op->SetAttrMap(this->Attrs());
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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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namespace plt = paddle::platform;
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REGISTER_OPERATOR(
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add_position_encoding, ops::AddPositionEncodingOp,
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ops::AddPositionEncodingOpMaker,
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ops::AddPositionEncodingGradOpMaker<paddle::framework::OpDesc>,
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ops::AddPositionEncodingGradOpMaker<paddle::imperative::OpBase>);
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REGISTER_OPERATOR(add_position_encoding_grad, ops::AddPositionEncodingOpGrad);
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REGISTER_OP_CPU_KERNEL(
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add_position_encoding,
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ops::AddPositionEncodingKernel<plt::CPUDeviceContext, float>,
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ops::AddPositionEncodingKernel<plt::CPUDeviceContext, double>);
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REGISTER_OP_CPU_KERNEL(
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add_position_encoding_grad,
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ops::AddPositionEncodingGradKernel<plt::CPUDeviceContext, float>,
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ops::AddPositionEncodingGradKernel<plt::CPUDeviceContext, double>);
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