f4334277
 Hu Chunming
提交3rdparty
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#ifndef OPENCV_DNN_SRC_CUDA_GRID_STRIDE_RANGE_HPP
#define OPENCV_DNN_SRC_CUDA_GRID_STRIDE_RANGE_HPP
#include "types.hpp"
#include "index_helpers.hpp"
#include <cuda_runtime.h>
namespace cv { namespace dnn { namespace cuda4dnn { namespace csl { namespace device {
template <int dim, class index_type = device::index_type, class size_type = device::size_type>
class grid_stride_range_generic {
public:
__device__ grid_stride_range_generic(index_type to_) : from(0), to(to_) { }
__device__ grid_stride_range_generic(index_type from_, index_type to_) : from(from_), to(to_) { }
class iterator
{
public:
__device__ iterator(index_type pos_) : pos(pos_) {}
/* these iterators return the index when dereferenced; this allows us to loop
* through the indices using a range based for loop
*/
__device__ index_type operator*() const { return pos; }
__device__ iterator& operator++() {
pos += getGridDim<dim>() * static_cast<index_type>(getBlockDim<dim>());
return *this;
}
__device__ bool operator!=(const iterator& other) const {
/* NOTE HACK
* 'pos' can move in large steps (see operator++)
* expansion of range for loop uses != as the loop conditioion
* => operator!= must return false if 'pos' crosses the end
*/
return pos < other.pos;
}
private:
index_type pos;
};
__device__ iterator begin() const {
return iterator(from + getBlockDim<dim>() * getBlockIdx<dim>() + getThreadIdx<dim>());
}
__device__ iterator end() const {
return iterator(to);
}
private:
index_type from, to;
};
using grid_stride_range_x = grid_stride_range_generic<0>;
using grid_stride_range_y = grid_stride_range_generic<1>;
using grid_stride_range_z = grid_stride_range_generic<2>;
using grid_stride_range = grid_stride_range_x;
}}}}} /* namespace cv::dnn::cuda4dnn::csl::device */
#endif /* OPENCV_DNN_SRC_CUDA_GRID_STRIDE_RANGE_HPP */
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