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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_EXEC_INTERP_OPERATIONS_OPERATION_UTILS_H_
#define __NEURUN_EXEC_INTERP_OPERATIONS_OPERATION_UTILS_H_
#include "model/Shape.h"
#include "model/InternalType.h"
#include <cker/Shape.h>
namespace neurun
{
namespace exec
{
namespace interp
{
inline nnfw::cker::Shape convertShape(const model::Shape &shape)
{
auto dimensions = std::vector<uint32_t>(shape.dims().begin(), shape.dims().end());
std::vector<int32_t> raw_shape;
raw_shape.resize(4);
for (uint32_t i = 0; i < 4; ++i)
{
if (i >= dimensions.size())
{
raw_shape[i] = 1;
}
else
{
raw_shape[i] = dimensions[i];
}
}
return nnfw::cker::GetShape(raw_shape);
}
inline nnfw::cker::Shape convertExtendShape(const model::Shape &shape)
{
auto dimensions = std::vector<uint32_t>(shape.dims().begin(), shape.dims().end());
std::vector<int32_t> raw_shape;
raw_shape.resize(4);
uint32_t start = 4 - dimensions.size();
for (uint32_t i = 0; i < 4; ++i)
{
if (i < start)
{
raw_shape[i] = 1;
}
else
{
raw_shape[i] = dimensions[i - start];
}
}
return nnfw::cker::GetShape(raw_shape);
}
template <typename T>
void calculateActivationRange(model::Activation activation, T *activation_min, T *activation_max)
{
if (activation == model::Activation::RELU)
{
*activation_min = 0;
*activation_max = std::numeric_limits<T>::max();
}
else if (activation == model::Activation::RELU6)
{
*activation_min = 0;
*activation_max = 6;
}
else if (activation == model::Activation::RELU1)
{
*activation_min = -1;
*activation_max = 1;
}
else if (activation == model::Activation::NONE)
{
*activation_min = std::numeric_limits<T>::lowest();
*activation_max = std::numeric_limits<T>::max();
}
else
{
throw std::runtime_error{"Unsupported activation type"};
}
}
} // namespace interp
} // namespace exec
} // namespace neurun
#endif // __NEURUN_EXEC_INTERP_OPERATIONS_OPERATION_UTILS_H_
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