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/*
* Copyright (C) 2017 The Android Open Source Project
*
* 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.
*/
#ifndef ANDROID_ML_NN_RUNTIME_COMPILATION_BUILDER_H
#define ANDROID_ML_NN_RUNTIME_COMPILATION_BUILDER_H
#include "ExecutionPlan.h"
#include "NeuralNetworks.h"
#include <memory>
#include <vector>
namespace android {
namespace nn {
class Device;
class ExecutionBuilder;
class ModelBuilder;
class CompilationBuilder {
public:
friend class ExecutionBuilder; // TODO remove this
CompilationBuilder(const ModelBuilder* model);
int setPreference(int32_t preference);
int setPartitioning(uint32_t partitioning);
int finish();
int finish(const std::vector<std::shared_ptr<Device>>& devices);
int createExecution(ExecutionBuilder** execution);
const ExecutionPlan& forTest_getExecutionPlan() const { return mPlan; }
private:
const ModelBuilder* mModel;
ExecutionPlan mPlan;
// Whether the application prefers to go fast or use low power for this execution.
int32_t mPreference = ANEURALNETWORKS_PREFER_FAST_SINGLE_ANSWER;
// See class DeviceManager. When CompilationBuilder is
// instantiated, we capture partitioning from DeviceManager; but
// we can override this later.
uint32_t mPartitioning;
// Once the compilation has been finished, we should not allow further
// modifications to the compilation.
bool mFinished = false;
};
} // namespace nn
} // namespace android
#endif // ANDROID_ML_NN_RUNTIME_COMPILATION_BUILDER_H
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