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_LRN_HPP
#define OPENCV_DNN_SRC_CUDA4DNN_PRIMITIVES_LRN_HPP
#include "../../op_cuda.hpp"
#include "../csl/cudnn.hpp"
#include "../csl/tensor_ops.hpp"
#include <cstddef>
#include <utility>
namespace cv { namespace dnn { namespace cuda4dnn {
enum class LRNType {
ACROSS_CHANNELS,
WITHIN_CHANNEL
};
template <class T>
class LRNOp final : public CUDABackendNode {
public:
using wrapper_type = GetCUDABackendWrapperType<T>;
LRNOp(csl::cudnn::Handle handle, LRNType type_, std::size_t local_size, T alpha, T beta, T bias, std::size_t largestInputSize)
: scratch_mem_in_bytes { 0 }
{
typename csl::LRN<T>::LRNType type{};
switch (type_) {
case LRNType::ACROSS_CHANNELS: type = csl::LRN<T>::LRNType::ACROSS_CHANNELS; break;
case LRNType::WITHIN_CHANNEL: type = csl::LRN<T>::LRNType::WITHIN_CHANNEL; break;
}
lrn = csl::LRN<T>(std::move(handle), local_size, alpha, beta, bias, type);
csl::WorkspaceBuilder builder;
if (type_ == LRNType::WITHIN_CHANNEL) {
/* this is not a bug; we require two of these */
builder.require<T>(largestInputSize);
builder.require<T>(largestInputSize);
}
scratch_mem_in_bytes = builder.required_workspace_size();
}
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::WorkspaceAllocator allocator(workspace);
lrn.normalize(input, output, allocator.get_instance());
}
}
std::size_t get_workspace_memory_in_bytes() const noexcept override { return scratch_mem_in_bytes; }
private:
csl::LRN<T> lrn;
std::size_t scratch_mem_in_bytes;
};
}}} /* namespace cv::dnn::cuda4dnn */
#endif /* OPENCV_DNN_SRC_CUDA4DNN_PRIMITIVES_LRN_HPP */
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