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/*
* Copyright (c) 2020 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 __ONERT_BACKEND_ACL_COMMON_ACL_ACTIVATION_BUILDER_H__
#define __ONERT_BACKEND_ACL_COMMON_ACL_ACTIVATION_BUILDER_H__
#include <memory>
#include <ir/InternalType.h>
#include <exec/IFunction.h>
#include <exec/NopFunction.h>
#include "Convert.h"
namespace onert
{
namespace backend
{
namespace acl_common
{
template <typename T_Tensor, typename T_ActivationLayer, typename T_ExecFunction>
class AclActivationBuilder
{
private:
static std::unique_ptr<exec::IFunction> generateReLU(T_Tensor *ifm_alloc);
static std::unique_ptr<exec::IFunction> generateReLU1(T_Tensor *ifm_alloc);
static std::unique_ptr<exec::IFunction> generateReLU6(T_Tensor *ifm_alloc);
public:
static std::unique_ptr<exec::IFunction> generate(ir::Activation code, T_Tensor *ifm_alloc);
};
template <typename T_Tensor, typename T_ActivationLayer, typename T_ExecFunction>
std::unique_ptr<exec::IFunction>
AclActivationBuilder<T_Tensor, T_ActivationLayer, T_ExecFunction>::generateReLU(T_Tensor *ifm_alloc)
{
const ::arm_compute::ActivationLayerInfo act_info{
::arm_compute::ActivationLayerInfo::ActivationFunction::RELU};
auto fn = std::make_unique<T_ActivationLayer>();
fn->configure(ifm_alloc, nullptr, act_info);
return asFunction<T_ExecFunction>(std::move(fn));
}
template <typename T_Tensor, typename T_ActivationLayer, typename T_ExecFunction>
std::unique_ptr<exec::IFunction>
AclActivationBuilder<T_Tensor, T_ActivationLayer, T_ExecFunction>::generateReLU1(
T_Tensor *ifm_alloc)
{
const ::arm_compute::ActivationLayerInfo act_info{
::arm_compute::ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 1.0f, -1.0f};
auto fn = std::make_unique<T_ActivationLayer>();
fn->configure(ifm_alloc, nullptr, act_info);
return asFunction<T_ExecFunction>(std::move(fn));
}
template <typename T_Tensor, typename T_ActivationLayer, typename T_ExecFunction>
std::unique_ptr<exec::IFunction>
AclActivationBuilder<T_Tensor, T_ActivationLayer, T_ExecFunction>::generateReLU6(
T_Tensor *ifm_alloc)
{
const ::arm_compute::ActivationLayerInfo act_info{
::arm_compute::ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.0f, 0.0f};
auto fn = std::make_unique<T_ActivationLayer>();
fn->configure(ifm_alloc, nullptr, act_info);
return asFunction<T_ExecFunction>(std::move(fn));
}
template <typename T_Tensor, typename T_ActivationLayer, typename T_ExecFunction>
std::unique_ptr<exec::IFunction>
AclActivationBuilder<T_Tensor, T_ActivationLayer, T_ExecFunction>::generate(ir::Activation code,
T_Tensor *ifm_alloc)
{
switch (code)
{
case ir::Activation::NONE:
{
return std::make_unique<exec::NopFunction>();
}
case ir::Activation::RELU:
{
return generateReLU(ifm_alloc);
}
case ir::Activation::RELU1:
{
return generateReLU1(ifm_alloc);
}
case ir::Activation::RELU6:
{
return generateReLU6(ifm_alloc);
}
default:
{
throw std::runtime_error("Not supported, yet");
}
}
}
} // namespace acl_common
} // namespace backend
} // namespace onert
#endif // __ONERT_BACKEND_ACL_COMMON_ACL_ACTIVATION_BUILDER_H__
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