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148 lines
5.6 KiB
148 lines
5.6 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/framework/eigen.h"
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#include "paddle/framework/op_registry.h"
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#include <fstream>
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namespace paddle {
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namespace operators {
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using framework::Tensor;
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using framework::LoDTensor;
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inline static std::string VarToFileName(const std::string& folder_path,
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const std::string& var_name) {
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return folder_path + "/__" + var_name + "__";
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}
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class SaveOp : public framework::OperatorBase {
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public:
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SaveOp(const std::string& type, const framework::VariableNameMap& inputs,
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const framework::VariableNameMap& outputs,
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const framework::AttributeMap& attrs)
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: OperatorBase(type, inputs, outputs, attrs) {}
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void Run(const framework::Scope& scope,
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const platform::DeviceContext& dev_ctx) const override {
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const auto& var_names = this->Inputs("X");
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for (const auto& name : var_names) {
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PADDLE_ENFORCE_NOT_NULL(scope.FindVar(name),
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"Can not find variable '%s' in the scope.", name);
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}
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std::string folder_path = this->Attr<std::string>("folderPath");
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PADDLE_ENFORCE(!folder_path.empty(),
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"'folderPath' of SaveOp shouldn't be empty.");
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VLOG(1) << "Save variables to folder: " << folder_path;
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for (const auto& name : var_names) {
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std::string file_name = VarToFileName(folder_path, name);
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std::ofstream fout(file_name, std::ofstream::out);
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PADDLE_ENFORCE(fout.is_open(), "Fail to create file %s.", file_name);
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const LoDTensor& tensor = scope.FindVar(name)->Get<LoDTensor>();
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std::string bytes = tensor.SerializeToString();
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fout << bytes;
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fout.close();
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}
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VLOG(1) << "Compelete saving variables. Items count: " << var_names.size();
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}
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};
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class SaveOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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SaveOpMaker(framework::OpProto* proto, framework::OpAttrChecker* op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("X",
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"(tensor), the tensor count can be 1~INT_MAX, tensors names which "
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"values will be saved.")
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.AsDuplicable();
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AddAttr<std::string>("folderPath", "the folderPath for save model.");
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AddComment(R"DOC(
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Save the input tensors to a binary file based on input tensor names and absolute path.
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All the inputs can carry the LoD (Level of Details) information,
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or not.
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)DOC");
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}
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};
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class RestoreOp : public framework::OperatorBase {
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public:
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RestoreOp(const std::string& type, const framework::VariableNameMap& inputs,
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const framework::VariableNameMap& outputs,
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const framework::AttributeMap& attrs)
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: OperatorBase(type, inputs, outputs, attrs) {}
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void Run(const framework::Scope& scope,
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const platform::DeviceContext& dev_ctx) const override {
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const auto& var_names = this->Outputs("Out");
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for (const auto& name : var_names) {
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PADDLE_ENFORCE_NOT_NULL(scope.FindVar(name),
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"Can not find variable '%s' in the scope.", name);
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}
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std::string folder_path = this->Attr<std::string>("folderPath");
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PADDLE_ENFORCE(!folder_path.empty(),
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"'folderPath' of RestoreOp shouldn't be empty.");
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VLOG(1) << "Try loading variables from folder: " << folder_path;
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for (const auto& name : var_names) {
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std::string file_name = VarToFileName(folder_path, name);
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std::ifstream fin(file_name, std::ifstream::in);
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PADDLE_ENFORCE(fin.is_open(), "Fail to open file %s.", file_name);
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const size_t kBufferSize = 4096; // equal to linux page size
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char buffer[kBufferSize];
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std::string cache;
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while (!fin.eof()) {
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fin.read(buffer, kBufferSize);
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cache.append(buffer, fin.gcount());
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}
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LoDTensor* tensor = scope.FindVar(name)->GetMutable<LoDTensor>();
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tensor->DeserializeFromString(cache, dev_ctx.GetPlace());
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fin.close();
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}
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VLOG(1) << "Complete loading variables.";
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}
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};
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class RestoreOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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RestoreOpMaker(framework::OpProto* proto,
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framework::OpAttrChecker* op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddOutput("Out",
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"(tensor), the tensor count can be 1~INT_MAX, tensors which "
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"values will be restores.")
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.AsDuplicable();
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AddAttr<std::string>("folderPath", "the folderPath for model file.");
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AddAttr<int>("data_type", "output tensor data type")
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.SetDefault(framework::DataType::FP32);
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AddComment(R"DOC(
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Restore the tensors from model file based on absolute path.
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All the tensors outputs may carry the LoD (Level of Details) information,
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or not.
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)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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REGISTER_OPERATOR(save, paddle::operators::SaveOp,
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paddle::framework::EmptyGradOpMaker,
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paddle::operators::SaveOpMaker);
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REGISTER_OPERATOR(restore, paddle::operators::RestoreOp,
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paddle::framework::EmptyGradOpMaker,
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paddle::operators::RestoreOpMaker);
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