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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.
*/
/**
* @file View.h
* @ingroup COM_AI_RUNTIME
* @brief This file defines internal::arm_compute::feature::View class
*/
#ifndef __INTERNAL_ARM_COMPUTE_FEATURE_VIEW_H__
#define __INTERNAL_ARM_COMPUTE_FEATURE_VIEW_H__
#include "misc/feature/Reader.h"
#include <arm_compute/core/ITensor.h>
namespace internal
{
namespace arm_compute
{
namespace feature
{
/**
* @brief Class to access feature's element
*/
template <typename T> class View final : public nnfw::misc::feature::Reader<T>
{
public:
/**
* @brief Construct a new View object
* @param[in] tensor Feature to support access
*/
View(::arm_compute::ITensor *tensor) : _tensor{tensor}
{
// DO NOTHING
}
public:
/**
* @brief Get value of element in 3D feature using channel, row and column
* @param[in] ch Channel index
* @param[in] row Row index
* @param[in] col Column index
* @return Value of element
*/
T at(uint32_t ch, uint32_t row, uint32_t col) const override
{
const auto offset = feature_index_to_byte_offset(ch, row, col);
T *ptr = reinterpret_cast<T *>(_tensor->buffer() + offset);
return *ptr;
}
/**
* @brief Get value of element in 4D feature using batch, channel, row and column
* @param[in] batch Batch index
* @param[in] ch Channel index
* @param[in] row Row index
* @param[in] col Column index
* @return Value of element
*/
T at(uint32_t batch, uint32_t ch, uint32_t row, uint32_t col) const override
{
const auto offset = feature_index_to_byte_offset(batch, ch, row, col);
T *ptr = reinterpret_cast<T *>(_tensor->buffer() + offset);
return *ptr;
}
public:
/**
* @brief Get reference of element in 3D feature using channel, row and column
* @param[in] ch Channel index
* @param[in] row Row index
* @param[in] col Column index
* @return Reference of element
*/
T &at(uint32_t ch, uint32_t row, uint32_t col)
{
const auto offset = feature_index_to_byte_offset(ch, row, col);
T *ptr = reinterpret_cast<T *>(_tensor->buffer() + offset);
return *ptr;
}
/**
* @brief Get reference of element in 4D feature using batch, channel, row and column
* @param[in] batch Batch index
* @param[in] ch Channel index
* @param[in] row Row index
* @param[in] col Column index
* @return Reference of element
*/
T &at(uint32_t batch, uint32_t ch, uint32_t row, uint32_t col)
{
const auto offset = feature_index_to_byte_offset(batch, ch, row, col);
T *ptr = reinterpret_cast<T *>(_tensor->buffer() + offset);
return *ptr;
}
private:
/**
* @brief Get offset of element in 3D feature
* @param[in] ch Channel index
* @param[in] row Row index
* @param[in] col Column index
* @return Offset of element
*/
size_t feature_index_to_byte_offset(uint32_t ch, uint32_t row, uint32_t col) const
{
// ARM Compute uses CHW ordering
return _tensor->info()->offset_element_in_bytes(::arm_compute::Coordinates{col, row, ch});
}
/**
* @brief Get offset of element in 4D feature
* @param[in] batch Batch index
* @param[in] ch Channel index
* @param[in] row Row index
* @param[in] col Column index
* @return Offset of element
*/
size_t feature_index_to_byte_offset(uint32_t batch, uint32_t ch, uint32_t row, uint32_t col) const
{
// ARM Compute uses CHW ordering
return _tensor->info()->offset_element_in_bytes(
::arm_compute::Coordinates{col, row, ch, batch});
}
private:
::arm_compute::ITensor *_tensor;
};
} // namespace feature
} // namespace arm_compute
} // namespace internal
#endif // __INTERNAL_ARM_COMPUTE_FEATURE_VIEW_H__
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