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105 lines
3.6 KiB
105 lines
3.6 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/fill_zeros_like_op.h"
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namespace paddle {
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namespace operators {
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class FillZerosLikeOp : 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", "fill_zeros_like");
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OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out", "fill_zeros_like");
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ctx->SetOutputDim("Out", ctx->GetInputDim("X"));
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ctx->ShareLoD("X", /*->*/ "Out");
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}
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};
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class FillZerosLikeOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("X", "The input of fill-zeros-like op.");
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AddOutput("Out", "The variable will be filled up with zeros.");
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ExtraMake();
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AddComment(R"DOC(
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FillZerosLike Operator.
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Fill up a variable with zeros.
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The output will have the same size as the input.
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)DOC");
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}
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protected:
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virtual void ExtraMake() {}
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};
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class FillZerosLikeOp2 : public FillZerosLikeOp {
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public:
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using FillZerosLikeOp::FillZerosLikeOp;
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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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static_cast<framework::proto::VarType::Type>(ctx.Attr<int>("dtype")),
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ctx.GetPlace());
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}
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};
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class FillZerosLikeOp2Maker : public FillZerosLikeOpMaker {
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protected:
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void ExtraMake() override {
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this->AddAttr<int>("dtype",
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"(int, default 5(FP32)) "
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"Output data type.")
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.SetDefault(framework::proto::VarType::FP32);
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}
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};
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DECLARE_NO_NEED_BUFFER_VARS_INFERER(FillZerosLikeOp2NoNeedBufferVarsInferer,
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"X");
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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(fill_zeros_like, ops::FillZerosLikeOp,
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ops::FillZerosLikeOpMaker);
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REGISTER_OPERATOR(
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fill_zeros_like2, ops::FillZerosLikeOp2, ops::FillZerosLikeOp2Maker,
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ops::FillZerosLikeOp2NoNeedBufferVarsInferer,
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paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
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paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>);
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REGISTER_OP_CPU_KERNEL(
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fill_zeros_like,
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ops::FillZerosLikeKernel<paddle::platform::CPUDeviceContext, int>,
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ops::FillZerosLikeKernel<paddle::platform::CPUDeviceContext, int64_t>,
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ops::FillZerosLikeKernel<paddle::platform::CPUDeviceContext, float>,
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ops::FillZerosLikeKernel<paddle::platform::CPUDeviceContext, double>,
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ops::FillZerosLikeKernel<paddle::platform::CPUDeviceContext, bool>);
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REGISTER_OP_CPU_KERNEL(
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fill_zeros_like2,
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ops::FillZerosLikeKernel<paddle::platform::CPUDeviceContext, int>,
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ops::FillZerosLikeKernel<paddle::platform::CPUDeviceContext, int64_t>,
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ops::FillZerosLikeKernel<paddle::platform::CPUDeviceContext, float>,
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ops::FillZerosLikeKernel<paddle::platform::CPUDeviceContext, double>,
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ops::FillZerosLikeKernel<paddle::platform::CPUDeviceContext, bool>);
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