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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "Compiler.h"
#include "OperationValidator.h"
#include "SubTensorAnalyzer.h"
#include "PlanBuilder.h"
#include "ConstantInitializer.h"
#include "graph/dumper/Dumper.h"
#include "graph/operation/LowerInfo.h"
#include "dumper/dot/DotDumper.h"
#include "linear/Linear.h"
namespace neurun
{
namespace compiler
{
void Compiler::compile(void)
{
auto &plan = this->plan();
auto &graph = plan.model();
const auto &operands = graph.operands();
// Disable compile phase
// When ready to use interpreter backend, remove this config and use backend setting
const auto env_disable_compile = config::ConfigManager::instance().get<bool>("DISABLE_COMPILE");
if (env_disable_compile)
{
plan.state(State::NOT_COMPILED);
return;
}
/***************************************************
* Backend independent analysis & optimization phase
***************************************************/
/*************************************************************
* Backend independent analysis & optimization phase finished
*************************************************************/
// dump graph to .dot
neurun::dumper::dot::DotDumper dot_dumper(graph);
dot_dumper.dumpIfNeeded("before_lower");
// Lower: decide backend
graph.lower();
plan.state(State::LOWERED);
dot_dumper.dumpIfNeeded("after_lower");
auto linear = graph.linearize();
plan.state(State::LINEARIZED);
// Dump ops
linear->accept(neurun::graph::dumper::Dumper{});
linear->accept(OperationValidator{operands});
/*************************************************
* Backend dependent analysis & optimization phase
*************************************************/
// SubTensorInfo should be generated after lower, before stage generation and finalize
// because SubTensorAnalyzer assume that insert permutation is already finished
// lower: decide backend and insert permutation
// stage generation: prepare codegen to optimization
// finalize: generate tensor using subtensor info, then execute stage
// Generated SubTensorInfo is in operand(Object)
// for easy pass SubTensorInfo to plan builder and tensor builder
linear->accept(SubTensorAnalyzer{graph.operands()});
/**********************************************************
* Backend dependent analysis & optimization phase finished
**********************************************************/
/***********************
* Code generation phase
***********************/
PlanBuilder plan_builder{plan};
// Plan building
linear->iterate([&](const linear::Element &element) {
auto backend = element.lower_info->backend();
// Generate Stage
auto stage_gen = backend->stage_gen();
plan_builder.addStage(stage_gen->generate(*element.node));
});
auto tensor_builders = linear->planTensors();
// TODO Add optimization passes
plan_builder.finalize(tensor_builders);
ConstantInitializer{graph, plan}();
/********************************
* Code generation phase finished
********************************/
plan.state(State::COMPILED);
}
} // namespace compiler
} // namespace neurun
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