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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.
*/
#ifndef __NEURUN_UTIL_FEATURE_NCHW_VIEW_H__
#define __NEURUN_UTIL_FEATURE_NCHW_VIEW_H__
#include "misc/feature/Reader.h"
#include "misc/feature/Shape.h"
#include "backend/interface/operand/ITensor.h"
#include "util/feature/Coordinate4D.h"
#include <cassert>
namespace neurun
{
namespace util
{
namespace feature
{
namespace nchw
{
template <typename T> class View final : public nnfw::misc::feature::Reader<T>
{
public:
View(::neurun::backend::operand::ITensor *tensor) : _tensor{tensor}
{
// TODO Validate whether tensor is a feature map, or not
_shape.N = tensor->dimension(3);
_shape.C = tensor->dimension(2);
_shape.H = tensor->dimension(1);
_shape.W = tensor->dimension(0);
}
public:
const ::nnfw::misc::feature::Shape &shape(void) const { return _shape; }
public:
T at(uint32_t ch, uint32_t row, uint32_t col) const override
{
const auto offset = feature_index_to_byte_offset(0, ch, row, col);
T *ptr = reinterpret_cast<T *>(_tensor->buffer() + offset);
return *ptr;
}
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:
T &at(uint32_t ch, uint32_t row, uint32_t col)
{
const auto offset = feature_index_to_byte_offset(0, ch, row, col);
T *ptr = reinterpret_cast<T *>(_tensor->buffer() + offset);
return *ptr;
}
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:
size_t feature_index_to_byte_offset(uint32_t batch, uint32_t ch, uint32_t row, uint32_t col) const
{
return _tensor->calcOffset(
neurun::util::feature::Coordinate4D{static_cast<int32_t>(batch), static_cast<int32_t>(row),
static_cast<int32_t>(col), static_cast<int32_t>(ch)});
}
private:
::nnfw::misc::feature::Shape _shape;
::neurun::backend::operand::ITensor *_tensor;
};
} // namespace nchw
} // namespace feature
} // namespace util
} // namespace neurun
#endif // __NEURUN_UTIL_FEATURE_NCHW_VIEW_H__
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