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_RESHAPE_HPP
#define OPENCV_DNN_SRC_CUDA4DNN_PRIMITIVES_RESHAPE_HPP
#include "../../op_cuda.hpp"
#include "../csl/stream.hpp"
#include "../csl/tensor.hpp"
#include "../csl/tensor_ops.hpp"
#include <utility>
namespace cv { namespace dnn { namespace cuda4dnn {
template <class T>
class ReshapeOp final : public CUDABackendNode {
public:
using wrapper_type = GetCUDABackendWrapperType<T>;
ReshapeOp(csl::Stream stream_) : stream(std::move(stream_)) { }
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 as extra inputs; hence, >= instead of == */
CV_Assert(inputs.size() >= outputs.size());
for (int i = 0; i < outputs.size(); i++)
{
auto input_wrapper = inputs[i].dynamicCast<wrapper_type>();
auto input = input_wrapper->getView();
auto output_wrapper = outputs[i].dynamicCast<wrapper_type>();
auto output = output_wrapper->getSpan();
if (input.get() != output.get())
{
while (input.rank() < output.rank())
input.unsqueeze();
while (output.rank() < input.rank())
output.unsqueeze();
input.reshape_as(output);
csl::tensor_ops::copy(stream, output, input);
}
}
}
private:
csl::Stream stream;
};
}}} /* namespace cv::dnn::cuda4dnn */
#endif /* OPENCV_DNN_SRC_CUDA4DNN_PRIMITIVES_RESHAPE_HPP */
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