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75 lines
2.7 KiB
75 lines
2.7 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 <string>
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#include "paddle/fluid/operators/load_op.h"
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namespace paddle {
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namespace operators {
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class LoadOp : 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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protected:
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framework::OpKernelType GetExpectedKernelType(
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const framework::ExecutionContext &ctx) const override {
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framework::OpKernelType kt = framework::OpKernelType(
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framework::proto::VarType::FP32, ctx.GetPlace());
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return kt;
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}
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};
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class LoadOpProtoMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddOutput("Out", "The LoDTensor / SelectedRows need to be loaded");
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AddAttr<bool>(
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"load_as_fp16",
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"If true, the tensor will be first loaded and then "
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"converted to float16 data type. Otherwise, the tensor will be "
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"directly loaded without data type conversion. Default is false.")
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.SetDefault(false);
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AddAttr<std::string>("file_path",
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R"(Variable will be loaded from "file_path")")
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.AddCustomChecker(
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[](const std::string &path) { return !path.empty(); });
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AddAttr<int64_t>("seek", "(int64_t) Starting for load tensor from seek pos")
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.SetDefault(-1);
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AddAttr<std::vector<int64_t>>("shape",
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"(vector<int64_t>) The shape of the output")
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.SetDefault({});
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AddComment(
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"Load operator will load a LoDTensor / SelectedRows variable from "
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"disk "
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"file.");
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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_OPERATOR(load, ops::LoadOp, ops::LoadOpProtoMaker);
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REGISTER_OP_CPU_KERNEL(
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load, ops::LoadOpKernel<paddle::platform::CPUDeviceContext, float>,
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ops::LoadOpKernel<paddle::platform::CPUDeviceContext, double>,
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ops::LoadOpKernel<paddle::platform::CPUDeviceContext, int>,
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ops::LoadOpKernel<paddle::platform::CPUDeviceContext, int8_t>,
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ops::LoadOpKernel<paddle::platform::CPUDeviceContext, int64_t>);
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