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214 lines
7.4 KiB
214 lines
7.4 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 <streambuf>
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#include <string>
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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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const char SERIAL_VAR[] = "SERIAL_NUMBER";
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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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static std::string GenePath(const std::string &dir, const std::string &file) {
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std::string file_path;
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file_path.append(file_path);
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file_path.append("/");
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file_path.append(file);
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return file_path;
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}
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static bool IsNumber(const std::string &s) {
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std::string::const_iterator it = s.begin();
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while (it != s.end() && std::isdigit(*it)) ++it;
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return !s.empty() && it == s.end();
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}
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static void LoadInputVars(const framework::Scope &scope,
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const platform::Place &place,
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const std::vector<std::string> &inp_var_names,
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const std::string &dir) {
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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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"LoadCombineOp only supports LoDTensor, %s has wrong type",
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inp_var_names[i]);
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std::string var_file = GenePath(dir, inp_var_names[i]);
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auto *tensor = var->GetMutable<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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framework::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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static void LoadStringArgv(const framework::Scope &scope,
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const platform::Place &place,
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const std::vector<std::string> &argv,
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const std::string &dir) {
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for (size_t i = 0; i < argv.size(); i++) {
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auto *var = scope.FindVar(argv[i]);
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std::string *var_str = var->GetMutable<std::string>();
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std::string var_file = GenePath(dir, argv[i]);
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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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std::getline(fin, *var_str);
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fin.close();
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VLOG(3) << " load String argv: " << argv[i] << " value is: " << var_str;
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}
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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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std::string serial_num_attr = Attr<std::string>("Serial");
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PADDLE_ENFORCE(!IsNumber(serial_num_attr),
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"Checkpoint Serial must be a number");
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std::string serial_var_name = std::string(SERIAL_VAR);
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auto *serial_var = scope.FindVar(serial_var_name);
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PADDLE_ENFORCE(serial_var != nullptr,
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"Cannot find variable %s for checkpoint_load_op",
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serial_var_name);
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auto *serial_num = serial_var->GetMutable<std::string>();
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serial_num->clear();
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serial_num->append(serial_num_attr);
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VLOG(1) << "CheckpointLoadOp set " << SERIAL_VAR
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<< " value: " << serial_num;
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std::string success = GenePath(dir, serial_num->c_str());
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VLOG(3) << "Load checkpoint from dir: " << success;
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success = GenePath(success, SUCCESS);
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bool is_present = FileExists(success);
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if (!is_present) {
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VLOG(1) << "CheckpointLoadOp can not find " << SUCCESS
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<< " from: " << success;
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return;
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}
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VLOG(3) << "Ready to load vars to scope";
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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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LoadInputVars(scope, place, inp_var_names, dir);
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// VLOG(3) << "Ready to load string argv to scope";
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// auto argv = Output("Argv");
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// LoadStringArgv(scope, place, argv, dir);
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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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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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AddOutput(
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"Argv",
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"(vector) Input LoDTensors that need to be saved together in a file.");
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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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"Serial",
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"(std::string)"
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"The serial number of the checkpoint will to be load.");
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AddAttr<std::string>(
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"dir",
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"(string)"
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"The \"dir\" where the checkpoint files will be loaded.")
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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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class CheckpointLoadOpVarTypeInference : public framework::VarTypeInference {
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public:
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void operator()(const framework::OpDesc &op_desc,
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framework::BlockDesc *block) const override {
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auto out_var_name = op_desc.Output("Argv").front();
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auto &out_var = block->FindRecursiveOrCreateVar(out_var_name);
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auto var_type = framework::proto::VarType::RAW;
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out_var.SetType(var_type);
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}
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};
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class CheckpointLoadOpShapeInference : 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(checkpoint_load, ops::CheckpointLoadOp,
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paddle::framework::EmptyGradOpMaker,
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ops::CheckpointLoadOpProtoMaker,
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ops::CheckpointLoadOpVarTypeInference,
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ops::CheckpointLoadOpShapeInference);
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// REGISTER_OPERATOR(checkpoint_load, ops::CheckpointLoadOp,
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// ops::CheckpointLoadOpProtoMaker);
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