wehub-resource-sync
93 lines
3.1 KiB
C++
93 lines
3.1 KiB
C++
// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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/fluid/framework/new_executor/interpreter/plan.h"
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#include "paddle/fluid/framework/program_desc.h"
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namespace paddle::framework::interpreter {
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Plan::Plan(const std::vector<std::shared_ptr<Job>>& job_list,
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const std::unordered_map<std::string, std::shared_ptr<ProgramDesc>>&
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type_to_program)
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: job_list_(job_list),
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type_to_program_(type_to_program),
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micro_batch_num_(1) {
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for (size_t i = 0; i < job_list_.size(); ++i) {
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const auto& job = job_list_[i];
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PADDLE_ENFORCE(type_to_program_.find(job->Type()) != type_to_program_.end(),
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common::errors::InvalidArgument(
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"The %d-th job (type:%s, micro_batch_id:%d) has no "
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"corresponding Program.",
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i,
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job->Type(),
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job->MicroBatchId()));
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micro_batch_num_ = std::max(micro_batch_num_, job->MicroBatchId() + 1);
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}
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}
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Plan::Plan(const std::vector<std::shared_ptr<Job>>& job_list,
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const std::unordered_map<std::string, std::shared_ptr<pir::Program>>&
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type_to_ir_program)
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: job_list_(job_list),
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type_to_ir_program_(type_to_ir_program),
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micro_batch_num_(1) {
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for (size_t i = 0; i < job_list_.size(); ++i) {
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const auto& job = job_list_[i];
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PADDLE_ENFORCE(
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type_to_ir_program_.find(job->Type()) != type_to_ir_program_.end(),
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common::errors::InvalidArgument(
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"The %d-th job (type:%s, micro_batch_id:%d) has no "
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"corresponding Program.",
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i,
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job->Type(),
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job->MicroBatchId()));
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micro_batch_num_ = std::max(micro_batch_num_, job->MicroBatchId() + 1);
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}
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}
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const std::vector<std::shared_ptr<Job>>& Plan::JobList() const {
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return job_list_;
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}
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const std::vector<std::string> Plan::JobTypes() const {
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std::vector<std::string> res;
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res.reserve(type_to_program_.size());
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for (auto const& kv : type_to_ir_program_) {
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res.emplace_back(kv.first);
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}
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return res;
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}
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const std::shared_ptr<ProgramDesc> Plan::Program(
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const std::string& job_type) const {
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return type_to_program_.at(job_type);
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}
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std::shared_ptr<pir::Program> Plan::IrProgram(
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const std::string& job_type) const {
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return type_to_ir_program_.at(job_type);
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}
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void Plan::SetIrProgram(const std::string& job_type,
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std::shared_ptr<pir::Program> ir_prog) {
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type_to_ir_program_[job_type] = ir_prog;
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}
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int64_t Plan::MicroBatchNum() const { return micro_batch_num_; }
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} // namespace paddle::framework::interpreter
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