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_CONST_HPP
#define OPENCV_DNN_SRC_CUDA4DNN_PRIMITIVES_CONST_HPP
#include "../../op_cuda.hpp"
#include "../csl/stream.hpp"
#include "../csl/tensor.hpp"
#include "../csl/tensor_ops.hpp"
#include <opencv2/core.hpp>
#include <utility>
namespace cv { namespace dnn { namespace cuda4dnn {
template <class T>
class ConstOp final : public CUDABackendNode {
public:
using wrapper_type = GetCUDABackendWrapperType<T>;
ConstOp(csl::Stream stream_, const cv::Mat& data)
: stream(std::move(stream_))
{
constTensor = csl::makeTensorHeader<T>(data);
csl::copyMatToTensor<T>(data, constTensor, stream);
}
void forward(
const std::vector<cv::Ptr<BackendWrapper>>& inputs,
const std::vector<cv::Ptr<BackendWrapper>>& outputs,
csl::Workspace& workspace) override
{
CV_Assert(outputs.size() == 1 && inputs.size() == 0);
auto output_wrapper = outputs[0].dynamicCast<wrapper_type>();
auto output = output_wrapper->getSpan();
csl::tensor_ops::copy<T>(stream, output, constTensor);
}
private:
csl::Stream stream;
csl::Tensor<T> constTensor;
};
}}} /* namespace cv::dnn::cuda4dnn */
#endif /* OPENCV_DNN_SRC_CUDA4DNN_PRIMITIVES_CONST_HPP */
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