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132 lines
4.3 KiB
132 lines
4.3 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 <stdint.h>
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#include <sys/stat.h>
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#include <fstream>
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#include <numeric>
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#include <sstream>
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#include "paddle/fluid/framework/data_type.h"
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#include "paddle/fluid/framework/data_type_transform.h"
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#include "paddle/fluid/framework/framework.pb.h"
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#include "paddle/fluid/framework/lod_tensor.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/platform/device_context.h"
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namespace paddle {
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namespace operators {
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constexpr char kSEP = '/';
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// write empty file named _SUCCESS
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const char SUCCESS[] = "_SUCCESS";
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static bool FileExists(const std::string &filepath) {
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struct stat buffer;
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return (stat(filepath.c_str(), &buffer) == 0);
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}
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class CheckpointLoadOp : public framework::OperatorBase {
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public:
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CheckpointLoadOp(const std::string &type,
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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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private:
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void RunImpl(const framework::Scope &scope,
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const platform::Place &place) const override {
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std::string dir = Attr<std::string>("dir");
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VLOG(3) << "Load checkpoint from dir: " << dir;
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std::string success;
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success.append(dir);
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success.append("/");
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success.append(SUCCESS);
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bool is_present = FileExists(success);
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if (!is_present) {
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VLOG(3) << "can not find _SUCCESS from path: " << success;
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return;
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}
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auto inp_var_names = Inputs("X");
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PADDLE_ENFORCE_GT(static_cast<int>(inp_var_names.size()), 0,
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"The number of input variables should be greater than 0");
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// get device context from pool
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platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance();
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auto &dev_ctx = *pool.Get(place);
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// todo (tangwei) made it async
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for (size_t i = 0; i < inp_var_names.size(); i++) {
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auto *var = scope.FindVar(inp_var_names[i]);
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PADDLE_ENFORCE(var != nullptr,
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"Cannot find variable %s for save_combine_op",
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inp_var_names[i]);
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PADDLE_ENFORCE(var->IsType<framework::LoDTensor>(),
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"SaveCombineOp only supports LoDTensor, %s has wrong type",
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inp_var_names[i]);
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std::string var_file;
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var_file.append(dir);
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var_file.append("/");
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var_file.append(inp_var_names[i]);
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VLOG(3) << "ready to load var: " << inp_var_names[i];
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auto &tensor = var->Get<framework::LoDTensor>();
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std::ifstream fin(var_file);
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PADDLE_ENFORCE(static_cast<bool>(fin), "Cannot open file %s for load op",
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var_file);
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DeserializeFromStream(fin, tensor, *dev_ctx);
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fin.close();
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VLOG(3) << " load var: " << inp_var_names[i] << " finished";
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}
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}
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};
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class CheckpointLoadOpProtoMaker : public framework::OpProtoAndCheckerMaker {
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public:
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CheckpointLoadOpProtoMaker(OpProto *proto, OpAttrChecker *op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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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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CheckpointLoad 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<std::string>(
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"dir",
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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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}
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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(checkpoint_load, ops::CheckpointLoadOp,
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ops::CheckpointLoadOpProtoMaker);
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