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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 Tensor3DSink.h
* @ingroup COM_AI_RUNTIME
* @brief This file defines Tensor3DSink class
*/
#ifndef __TENSOR3D_SINK_H__
#define __TENSOR3D_SINK_H__
#include "internal/Sink.h"
//
// This is mempcy() version of generic TensorSink for 3D tensor
//
#include <arm_compute/core/ITensor.h>
#include <arm_compute/core/Window.h>
#include <arm_compute/core/Helpers.h>
/**
* @brief Class to get tensor data from arm compute tensor
*/
template <typename T> class Tensor3DSink final : public Sink
{
public:
/**
* @brief Construct a new Tensor3DSink object
* @param[in] shape Shape of tensor
* @param[in] base Pointer to get data
* @param[in] size Size of tensor
*/
Tensor3DSink(const nnfw::misc::tensor::Shape &shape, T *base, const size_t size)
: _shape{shape}, _base{base}, _size{size}
{
// DO NOTHING
}
public:
/**
* @brief Get tensor data from arm compute tensor to base
* @param[in] tensor Tensor object of arm compute to get data
* @return N/A
*/
void pull(::arm_compute::ITensor &tensor) const override
{
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);
int32_t height_width = _shape.dim(1) * _shape.dim(2);
int32_t width = _shape.dim(2);
Iterator it(&tensor, window);
execute_window_loop(window,
[&](const ::arm_compute::Coordinates &id) {
const auto z = id.z();
const auto y = id.y();
memcpy(_base + z * height_width + y * width, it.ptr(), width * sizeof(T));
},
it);
}
private:
const nnfw::misc::tensor::Shape _shape;
private:
T *const _base;
const size_t _size;
};
#endif // __TENSOR3D_SINK_H__
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