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2021-11-30 15:00:37 +08:00
// Copyright (c) OpenMMLab. All rights reserved.
#ifndef ORT_MMCV_UTILS_H
#define ORT_MMCV_UTILS_H
#include <onnxruntime_cxx_api.h>
#include <unordered_map>
#include <vector>
namespace mmdeploy {
typedef std::unordered_map<std::string, std::vector<OrtCustomOp*>> CustomOpsTable;
struct OrtTensorDimensions : std::vector<int64_t> {
OrtTensorDimensions(Ort::CustomOpApi ort, const OrtValue* value) {
OrtTensorTypeAndShapeInfo* info = ort.GetTensorTypeAndShape(value);
std::vector<int64_t>::operator=(ort.GetTensorShape(info));
ort.ReleaseTensorTypeAndShapeInfo(info);
}
};
CustomOpsTable& get_mmdeploy_custom_ops();
template <char const* domain, typename T>
class OrtOpsRegistry {
public:
OrtOpsRegistry() { get_mmdeploy_custom_ops()[domain].push_back(&instance); }
private:
T instance{};
};
#define REGISTER_ONNXRUNTIME_OPS(domain, name) \
static char __domain_##domain##name[] = #domain; \
static OrtOpsRegistry<__domain_##domain##name, name> ort_ops_registry_##domain##name {}
} // namespace mmdeploy
#endif // ORT_MMCV_UTILS_H