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60 lines
2.2 KiB
60 lines
2.2 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/feed_op.h"
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namespace paddle {
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namespace operators {
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class FeedOp : 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::InferShapeContext* ctx) const override {
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PADDLE_ENFORCE(ctx->HasOutput("Out"), "Output should be not null.");
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auto& shape = ctx->Attrs().Get<std::vector<int>>("dims");
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std::vector<int64_t> shape_int64(shape.size(), 0);
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std::transform(shape.begin(), shape.end(), shape_int64.begin(),
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[](int a) { return static_cast<int64_t>(a); });
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ctx->SetOutputDim("Out", framework::make_ddim(shape_int64));
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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>("dataType"));
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}
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};
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class FeedOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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FeedOpMaker(framework::OpProto* proto, framework::OpAttrChecker* op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddAttr<int>("dataType", "output data type")
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.SetDefault(framework::DataType::FP32);
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AddAttr<int>("col", "The col in global feed variable").SetDefault(0);
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AddAttr<std::vector<int>>("dims", "The dimension of feed tensor.");
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AddOutput("Out", "The output of feed op.");
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AddComment(R"DOC(Feed data from global feed 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(feed, ops::FeedOp, ops::FeedOpMaker);
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REGISTER_OP_CPU_KERNEL(feed, ops::FeedKernel<float>);
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