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/*
* Copyright (c) 2019 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.
*/
#ifndef __NEURUN_BACKEND_ACL_CL_BACKEND_H__
#define __NEURUN_BACKEND_ACL_CL_BACKEND_H__
#include <memory>
#include <backend/Backend.h>
#include <model/Operands.h>
#include "Config.h"
#include "ConstantInitializer.h"
#include "KernelGenerator.h"
#include "ShapeFixer.h"
#include "TensorManager.h"
#include "backend/CustomKernelRegistry.h"
namespace neurun
{
namespace backend
{
namespace acl_cl
{
class Backend : public ::neurun::backend::Backend
{
public:
Backend() : _config{std::make_shared<Config>()} {}
std::shared_ptr<IConfig> config() const override { return _config; }
std::unique_ptr<BackendContext>
newContext(const model::Operands &operands,
const std::shared_ptr<custom::KernelRegistry> &) const override
{
auto tensor_builder = std::make_shared<TensorBuilder>(createTensorManager());
return std::unique_ptr<BackendContext>{new BackendContext{
this, tensor_builder, std::make_shared<ConstantInitializer>(operands, tensor_builder),
std::make_shared<KernelGenerator>(operands, tensor_builder),
std::make_shared<ShapeFixer>(operands, tensor_builder)}};
}
private:
std::shared_ptr<IConfig> _config;
};
} // namespace acl_cl
} // namespace backend
} // namespace neurun
#endif // __NEURUN_BACKEND_ACL_CL_BACKEND_H__
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