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99 lines
3.4 KiB
99 lines
3.4 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 <stdint.h>
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#include <fstream>
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#include <numeric>
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#include <string>
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#include <vector>
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#include "paddle/fluid/operators/save_op.h"
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namespace paddle {
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namespace operators {
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class SaveOp : 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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auto data_type = framework::GetDataTypeOfVar(ctx.InputVar("X"));
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return framework::OpKernelType(data_type, ctx.device_context());
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}
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};
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class SaveOpProtoMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("X", "(Tensor ) Input LoDTensor and SelectedRows to be saved");
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AddComment(R"DOC(
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Save operator
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This operator will serialize and write LoDTensor / SelectedRows variable to file on disk.
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)DOC");
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AddAttr<bool>("overwrite",
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"(boolean, default true)"
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"Overwrite the output file if exist")
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.SetDefault(true);
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AddAttr<bool>("save_as_fp16",
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"(boolean, default false)"
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"If true, the tensor will be converted to float16 data "
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"type and then saved. Otherwise, the tensor will be "
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"directly saved without data type conversion.")
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.SetDefault(false);
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AddAttr<std::string>("file_path",
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"(string)"
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"The \"file_path\" where the variable will be saved.")
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.AddCustomChecker(
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[](const std::string &path) { return !path.empty(); });
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AddOutput(LOOKUP_TABLE_PATH,
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"(string)"
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"for pserver: The \"kLookupTablePath\" where checkpoint notify "
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"to save lookup table variables"
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" to directory specified.")
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.AsDispensable();
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}
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};
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class SaveOpVarTypeInference : public framework::VarTypeInference {
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public:
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void operator()(framework::InferVarTypeContext *ctx) const override {
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auto var_type = framework::proto::VarType::RAW;
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ctx->SetType(LOOKUP_TABLE_PATH, var_type);
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}
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};
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class SaveOpShapeInference : public framework::InferShapeBase {
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public:
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void operator()(framework::InferShapeContext *ctx) const override {}
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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(save, ops::SaveOp, ops::SaveOpProtoMaker,
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ops::SaveOpVarTypeInference, ops::SaveOpShapeInference);
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REGISTER_OP_CPU_KERNEL(
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save, ops::SaveOpKernel<paddle::platform::CPUDeviceContext, float>,
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ops::SaveOpKernel<paddle::platform::CPUDeviceContext, double>,
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ops::SaveOpKernel<paddle::platform::CPUDeviceContext, int>,
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ops::SaveOpKernel<paddle::platform::CPUDeviceContext, int8_t>,
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ops::SaveOpKernel<paddle::platform::CPUDeviceContext, int64_t>);
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