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68 lines
2.4 KiB
68 lines
2.4 KiB
/* 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/fetch_op.h"
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namespace paddle {
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namespace operators {
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class FetchOp : 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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typedef std::vector<framework::Tensor> FetchOutputs;
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PADDLE_ENFORCE(ctx->HasInput("Input"), "Input should be not null.");
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int col = ctx->Attrs().Get<int>("col");
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framework::Variable* g_fetch_variable =
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framework::GetScope()->FindVar("fetch_value");
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FetchOutputs* tensors = g_fetch_variable->GetMutable<FetchOutputs>();
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if (tensors->size() < static_cast<size_t>(col + 1)) {
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tensors->resize(col + 1);
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}
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auto input_dim = ctx->GetInputDim("Input");
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(*tensors)[col].Resize(input_dim);
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// TODO(qijun): need to handle LodTensor later
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}
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framework::DataType IndicateDataType(
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const framework::ExecutionContext& ctx) const override {
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return static_cast<framework::DataType>(Attr<int>("data_type"));
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}
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};
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class FetchOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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FetchOpMaker(framework::OpProto* proto, framework::OpAttrChecker* op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddAttr<int>("data_type", "output data type")
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.SetDefault(framework::DataType::FP32);
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AddAttr<int>("col", "The col in global fetch variable").SetDefault(0);
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AddAttr<std::vector<int>>("dims", "The dimension of fetch tensor.");
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AddInput("Input", "The output of fetch op.");
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AddComment(R"DOC(Fetch data to global fetch variable)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(fetch, ops::FetchOp, ops::FetchOpMaker);
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REGISTER_OP_CPU_KERNEL(fetch, ops::FetchKernel<float>);
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