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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_MATRIX_SINK_H__
#define __INTERNAL_MATRIX_SINK_H__
#include "internal/Sink.h"
#include <arm_compute/core/ITensor.h>
#include <arm_compute/core/Window.h>
#include <arm_compute/core/Helpers.h>
#include <cstdint>
#include <cstring>
#include <cassert>
template <typename T> class MatrixSink final : public Sink
{
public:
MatrixSink(const int32_t H, const int32_t W, T *base, const size_t size)
: _height{H}, _width{W}, _base{base}
{
assert(size >= _height * _width * sizeof(T));
}
public:
void pull(::arm_compute::ITensor &tensor) const override
{
assert(tensor.info()->dimension(0) == _width);
assert(tensor.info()->dimension(1) == _height);
using ::arm_compute::Window;
using ::arm_compute::Iterator;
using ::arm_compute::Coordinates;
using ::arm_compute::execute_window_loop;
Window window;
window.use_tensor_dimensions(tensor.info()->tensor_shape(), ::arm_compute::Window::DimY);
Iterator it(&tensor, window);
execute_window_loop(window,
[&](const ::arm_compute::Coordinates &id) {
const auto row = id.y();
memcpy(_base + row * _width, it.ptr(), _width * sizeof(T));
},
it);
}
private:
const int32_t _height;
const int32_t _width;
private:
T *const _base;
};
#endif // __INTERNAL_MATRIX_SINK_H__
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