softmax.hpp
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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_SOFTMAX_HPP
#define OPENCV_DNN_SRC_CUDA4DNN_PRIMITIVES_SOFTMAX_HPP
#include "../../op_cuda.hpp"
#include "../csl/cudnn.hpp"
#include "../csl/tensor_ops.hpp"
#include <cstddef>
#include <utility>
namespace cv { namespace dnn { namespace cuda4dnn {
template <class T>
class SoftmaxOp final : public CUDABackendNode {
public:
using wrapper_type = GetCUDABackendWrapperType<T>;
SoftmaxOp(csl::cudnn::Handle handle, std::size_t axis_, bool log_)
: cudnnHandle(std::move(handle)), channel_axis{ axis_ }, log{ log_ }
{
}
void forward(
const std::vector<cv::Ptr<BackendWrapper>>& inputs,
const std::vector<cv::Ptr<BackendWrapper>>& outputs,
csl::Workspace& workspace) override
{
for (int i = 0; i < inputs.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();
csl::tensor_ops::softmax<T>(cudnnHandle, output, input, channel_axis, log);
}
}
private:
csl::cudnn::Handle cudnnHandle;
std::size_t channel_axis;
bool log;
};
}}} /* namespace cv::dnn::cuda4dnn */
#endif /* OPENCV_DNN_SRC_CUDA4DNN_PRIMITIVES_SOFTMAX_HPP */