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_CUDA4DNN_PRIMITIVES_SLICE_HPP
#define OPENCV_DNN_SRC_CUDA4DNN_PRIMITIVES_SLICE_HPP
#include "../../op_cuda.hpp"
#include "../csl/stream.hpp"
#include "../kernels/slice.hpp"
#include "../kernels/fill_copy.hpp"
#include <opencv2/core.hpp>
#include <cstddef>
#include <vector>
#include <algorithm>
#include <utility>
namespace cv { namespace dnn { namespace cuda4dnn {
template <class T>
class SliceOp final : public CUDABackendNode {
public:
using wrapper_type = GetCUDABackendWrapperType<T>;
/* offsets is indexed by output number and each subvector is indexed by axis number */
SliceOp(csl::Stream stream_, std::vector<std::vector<std::size_t>> offsets)
: stream(std::move(stream_)), offsets(std::move(offsets))
{
}
void forward(
const std::vector<cv::Ptr<BackendWrapper>>& inputs,
const std::vector<cv::Ptr<BackendWrapper>>& outputs,
csl::Workspace& workspace) override
{
/* sometimes the output shape is passed in the form of a second input tensor
* it's only required for initialization and not here
*/
CV_Assert(inputs.size() == 1 || inputs.size() == 2);
auto input_wrapper = inputs[0].dynamicCast<wrapper_type>();
auto input = input_wrapper->getView();
CV_Assert(offsets.size() == outputs.size());
for (int i = 0; i < outputs.size(); ++i)
{
auto output_wrapper = outputs[i].dynamicCast<wrapper_type>();
auto output = output_wrapper->getSpan();
kernels::slice<T>(stream, output, input, offsets[i]);
}
}
private:
csl::Stream stream;
std::vector<std::vector<std::size_t>> offsets;
};
}}} /* namespace cv::dnn::cuda4dnn */
#endif /* OPENCV_DNN_SRC_CUDA4DNN_PRIMITIVES_SLICE_HPP */
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