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107 lines
3.7 KiB
107 lines
3.7 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 <string>
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#include "paddle/fluid/operators/save_combine_op.h"
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namespace paddle {
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namespace operators {
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using Tensor = framework::Tensor;
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class SaveCombineOp : 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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return framework::OpKernelType(framework::proto::VarType::FP32,
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ctx.GetPlace());
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}
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// TODO(lujun): The override here is just to bypass transform
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// in operator impl, which is not elegant enough.
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framework::OpKernelType GetKernelTypeForVar(
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const std::string& var_name, const Tensor& tensor,
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const framework::OpKernelType& expected_kernel_type) const override {
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return expected_kernel_type;
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}
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};
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class SaveCombineOpProtoMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput(
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"X",
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"(vector) Input LoDTensors that need to be saved together in a file.")
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.AsDuplicable();
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AddComment(R"DOC(
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SaveCombine operator
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This operator will serialize and write a list of input LoDTensor variables
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to a 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 it exists.")
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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>(
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"file_path",
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"(string)"
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"The \"file_path\" where the LoDTensor variables will be saved.")
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.AddCustomChecker(
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[](const std::string& path) { return !path.empty(); });
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AddAttr<bool>("save_to_memory",
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"(boolean, default false)"
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"If true, the variables will be saved to binary strings.")
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.SetDefault(false);
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AddOutput("Y",
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"(RAW, default empty)."
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"This output is used when saving variables to binary strings.")
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.AsDispensable();
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}
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};
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class SaveCombineOpInferVarType : public framework::VarTypeInference {
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public:
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void operator()(framework::InferVarTypeContext* ctx) const override {
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ctx->SetOutputType("Y", framework::proto::VarType::RAW,
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framework::ALL_ELEMENTS);
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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(save_combine, ops::SaveCombineOp,
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ops::SaveCombineOpProtoMaker, ops::SaveCombineOpInferVarType);
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REGISTER_OP_CPU_KERNEL(
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save_combine,
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ops::SaveCombineOpKernel<paddle::platform::CPUDeviceContext, float>,
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ops::SaveCombineOpKernel<paddle::platform::CPUDeviceContext, double>,
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ops::SaveCombineOpKernel<paddle::platform::CPUDeviceContext, int>,
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ops::SaveCombineOpKernel<paddle::platform::CPUDeviceContext, int64_t>);
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