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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 <NeuralNetworks.h>
#include <algorithm>
#include <arm_compute/core/CL/ICLTensor.h>
#include <arm_compute/runtime/IFunction.h>
#include <arm_compute/runtime/CL/CLScheduler.h>
#include "internal/Convert.h"
#include "backend/acl_cl/kernel/View.h"
#include "backend/acl_cl/TensorBuilder.h"
#include "internal/nnapi/kernel/Reader.h"
#include "internal/Padding.h"
#include "backend/IInitializerGenerator.h"
#include "backend/IStageGenerator.h"
#include "compilation.h"
#include "model.h"
#include "logging.h"
#include "graph/dumper/Dumper.h"
#include "codegen/IPlanBuilder.h"
#include "codegen/Planner.h"
#include "codegen/PlanBuilder.h"
#include "linear/Linear.h"
int ANeuralNetworksCompilation::finish()
{
auto &plan = this->plan();
const auto &operands = plan.model().operands();
plan.model().lower();
auto linear = plan.model().linearize();
// Dump ops
linear->accept(neurun::graph::dumper::Dumper{});
neurun::codegen::PlanBuilder plan_builder{plan};
auto tensor_builders = linear->markTensors();
linear->accept(neurun::codegen::Planner{operands, plan_builder});
// TODO Add optimization passes
plan_builder.finalize(tensor_builders);
return ANEURALNETWORKS_NO_ERROR;
}
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