718c41634f
1.项目后端整体迁移至PaddleOCR-NCNN算法，已通过基本的兼容性测试 2.工程改为使用CMake组织，后续为了更好地兼容第三方库，不再提供QMake工程 3.重整权利声明文件，重整代码工程，确保最小化侵权风险 Log: 切换后端至PaddleOCR-NCNN，切换工程为CMake Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
55 lines
1.5 KiB
C++
55 lines
1.5 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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#ifndef OPENCV_DNN_SRC_CUDA4DNN_PRIMITIVES_SPLIT_HPP
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#define OPENCV_DNN_SRC_CUDA4DNN_PRIMITIVES_SPLIT_HPP
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#include "../../op_cuda.hpp"
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#include "../csl/stream.hpp"
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#include "../csl/tensor_ops.hpp"
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#include <opencv2/core.hpp>
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#include <utility>
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namespace cv { namespace dnn { namespace cuda4dnn {
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template <class T>
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class SplitOp final : public CUDABackendNode {
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public:
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using wrapper_type = GetCUDABackendWrapperType<T>;
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SplitOp(csl::Stream stream_)
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: stream(std::move(stream_))
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{
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}
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void forward(
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const std::vector<cv::Ptr<BackendWrapper>>& inputs,
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const std::vector<cv::Ptr<BackendWrapper>>& outputs,
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csl::Workspace& workspace) override
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{
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CV_Assert(inputs.size() == 1);
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auto input_wrapper = inputs[0].dynamicCast<wrapper_type>();
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auto input = input_wrapper->getView();
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for (int i = 0; i < outputs.size(); i++)
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{
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auto output_wrapper = outputs[i].dynamicCast<wrapper_type>();
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auto output = output_wrapper->getSpan();
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csl::tensor_ops::copy<T>(stream, output, input);
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}
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}
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private:
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csl::Stream stream;
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};
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}}} /* namespace cv::dnn::cuda4dnn */
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#endif /* OPENCV_DNN_SRC_CUDA4DNN_PRIMITIVES_SPLIT_HPP */
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