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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 __INTERNAL_FEATURE_SINK_H__
#define __INTERNAL_FEATURE_SINK_H__
#include "internal/Sink.h"
#include "internal/nnapi/feature/View.h"
#include "internal/arm_compute/feature/View.h"
#include <util/feature/Shape.h>
#include "util/feature/IndexIterator.h"
//
// FeatureSink
//
template <typename T> class FeatureSink final : public Sink
{
public:
FeatureSink(const nnfw::util::feature::Shape &shape, T *base, const size_t size)
: _shape{shape}, _base{base}, _size{size}
{
// DO NOTHING
}
public:
void pull(::arm_compute::ITensor &tensor) const override
{
const ::internal::arm_compute::feature::View<T> from{&tensor};
// TODO Should remove casting.
// Inevitably casting must be done.
::internal::nnapi::feature::View<T> into{_shape, _base, _size};
::nnfw::util::feature::iterate(_shape)
<< [&](uint32_t batch, uint32_t ch, uint32_t row, uint32_t col) {
const auto value = from.at(batch, ch, row, col);
into.at(batch, ch, row, col) = value;
};
}
private:
const nnfw::util::feature::Shape _shape;
T *const _base;
const size_t _size;
};
#endif // __INTERNAL_FEATURE_SINK_H__
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