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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 __ONERT_EXEC_FEATURE_NCHW_READER_H__
#define __ONERT_EXEC_FEATURE_NCHW_READER_H__
#include "../Reader.h"
#include <cassert>
#include "backend/ITensor.h"
#include "ir/Shape.h"
namespace onert
{
namespace exec
{
namespace feature
{
namespace nchw
{
template <typename T> class Reader : public feature::Reader<T>
{
public:
using Strides = ir::FeatureShape;
// Construct for buffer and strides
Reader(const ir::FeatureShape &shape, const Strides &strides, const T *ptr, size_t len)
: _shape{shape}, _strides{strides}, _ptr{reinterpret_cast<const uint8_t *>(ptr)}, _len{len}
{
UNUSED_RELEASE(len); // Workaround for unused variable in release mode
assert(len == static_cast<size_t>(strides.N != 0
? shape.N * strides.N
: strides.C != 0 ? shape.C * strides.C
: strides.H != 0 ? shape.H * strides.H
: shape.W * strides.W));
}
// Construct for backend tensor
Reader(backend::ITensor *tensor)
: _ptr{tensor->buffer() + tensor->calcOffset({0, 0, 0, 0})}, _len{tensor->total_size()}
{
assert(tensor->layout() == ir::Layout::NCHW);
const auto start_offset = tensor->calcOffset({0, 0, 0, 0});
auto shape = tensor->getShape();
_strides.W = shape.dim(3) == 1 ? 0 : tensor->calcOffset({0, 0, 0, 1}) - start_offset;
_strides.H = shape.dim(2) == 1 ? 0 : tensor->calcOffset({0, 0, 1, 0}) - start_offset;
_strides.C = shape.dim(1) == 1 ? 0 : tensor->calcOffset({0, 1, 0, 0}) - start_offset;
_strides.N = shape.dim(0) == 1 ? 0 : tensor->calcOffset({1, 0, 0, 0}) - start_offset;
_shape.W = shape.dim(3);
_shape.H = shape.dim(2);
_shape.C = shape.dim(1);
_shape.N = shape.dim(0);
}
public:
T at(uint32_t batch, uint32_t ch, uint32_t row, uint32_t col) const final
{
return getRef(batch, ch, row, col);
}
T at(uint32_t ch, uint32_t row, uint32_t col) const final { return getRef(0, ch, row, col); }
protected:
const T &getRef(uint32_t batch, uint32_t ch, uint32_t row, uint32_t col) const
{
const auto offset = feature_index_to_byte_offset(batch, ch, row, col);
const T *ptr = reinterpret_cast<const T *>(_ptr + offset);
return *ptr;
}
private:
size_t feature_index_to_byte_offset(uint32_t batch, uint32_t ch, uint32_t row, uint32_t col) const
{
assert(1u * _shape.N > batch); // shape.N > batch
assert(1u * _shape.C > ch); // shape.C > ch
assert(1u * _shape.H > row); // shape.H > row
assert(1u * _shape.W > col); // shape.W > col
uint32_t res = 0;
res += batch * _strides.N;
res += ch * _strides.C;
res += row * _strides.H;
res += col * _strides.W;
return res;
}
private:
// TODO Remove _shape
ir::FeatureShape _shape;
Strides _strides;
const uint8_t *_ptr;
size_t _len;
};
} // namespace nchw
} // namespace feature
} // namespace exec
} // namespace onert
#endif // __ONERT_EXEC_FEATURE_NCHW_READER_H__
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