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73 lines
2.4 KiB
73 lines
2.4 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/merge_selected_rows_op.h"
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namespace paddle {
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namespace operators {
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class MergeSelectedRowsOp : 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("X"),
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"Input(X) of MergeSelectedRowsOp should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput("Out"),
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"Output(Out) of MergeSelectedRowsOp should not be null.");
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ctx->ShareDim("X", /*->*/ "Out");
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}
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};
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class MergeSelectedRowsOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("X",
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"The input type is SelectedRows, and the selected rows may be "
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"duplicated.");
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AddOutput("Out",
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"The output type is SelectedRows, and the selected rows are not "
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"duplicated.");
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AddComment(
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R"DOC(
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MergeSelectedRows Operator.
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MergeSelectedRows is used to merge the duplicated rows of the input.
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)DOC");
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}
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};
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class MergeSelectedRowsOpInferVarType
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: public framework::PassInDtypeAndVarTypeToOutput {
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protected:
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std::unordered_map<std::string, std::string> GetInputOutputWithSameType()
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const override {
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return std::unordered_map<std::string, std::string>{{"X", /*->*/ "Out"}};
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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 plat = paddle::platform;
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REGISTER_OPERATOR(merge_selected_rows, ops::MergeSelectedRowsOp,
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ops::MergeSelectedRowsOpMaker,
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ops::MergeSelectedRowsOpInferVarType);
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REGISTER_OP_CPU_KERNEL(
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merge_selected_rows,
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ops::MergeSelectedRowsKernel<plat::CPUDeviceContext, float>,
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ops::MergeSelectedRowsKernel<plat::CPUDeviceContext, double>);
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