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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 VectorSink.h
* @brief This file contains VectorSink class
* @ingroup COM_AI_RUNTIME
*/
#ifndef __INTERNAL_VECTOR_SINK_H__
#define __INTERNAL_VECTOR_SINK_H__
#include "internal/Sink.h"
#include <arm_compute/core/ITensor.h>
#include <cassert>
/**
* @brief Class to store vector(2D) output data.
* This is for pulling out the data to another tensor.
* @tparam T Type of the data elements
*/
template <typename T> class VectorSink final : public Sink
{
public:
/**
* @brief Construct a VectorSink object
* @param[in] vlen Length of the vector
* @param[in] base Base pointer of the actual data
* @param[in] size Size of the data
*/
VectorSink(const int32_t vlen, T *base, const size_t size) : _vlen{vlen}, _base{base}
{
assert(size >= _vlen * sizeof(T));
}
public:
/**
* @brief Pull the data into the internal structure
* @param[in] tensor The tensor which contains source data
* @return N/A
*/
void pull(::arm_compute::ITensor &tensor) const override
{
for (int32_t n = 0; n < _vlen; ++n)
{
auto from = reinterpret_cast<T *>(tensor.ptr_to_element(::arm_compute::Coordinates{n}));
auto into = _base + n;
*into = *from;
}
}
private:
const int32_t _vlen;
T *const _base;
};
#endif // __INTERNAL_VECTOR_SINK_H__
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