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#include <torch/csrc/utils/pybind.h>
#include <cuda.h>
#include <cuda_runtime.h>
#ifndef __HIP_PLATFORM_HCC__
#include <cuda_profiler_api.h>
#else
#include <hip/hip_runtime_api.h>
#endif
namespace torch { namespace cuda { namespace shared {
void initCudartBindings(PyObject* module) {
auto m = py::handle(module).cast<py::module>();
auto cudart = m.def_submodule("_cudart", "libcudart.so bindings");
// By splitting the names of these objects into two literals we prevent the
// HIP rewrite rules from changing these names when building with HIP.
#ifndef __HIP_PLATFORM_HCC__
py::enum_<cudaOutputMode_t>(cudart, "cuda" "OutputMode")
.value("KeyValuePair", cudaKeyValuePair)
.value("CSV", cudaCSV);
#endif
py::enum_<cudaError_t>(cudart, "cuda" "Error")
.value("success", cudaSuccess);
cudart.def("cuda" "GetErrorString", cudaGetErrorString);
cudart.def("cuda" "ProfilerStart", cudaProfilerStart);
cudart.def("cuda" "ProfilerStop", cudaProfilerStop);
cudart.def("cuda" "HostRegister", [](uintptr_t ptr, size_t size, unsigned int flags) -> cudaError_t {
return cudaHostRegister((void*)ptr, size, flags);
});
cudart.def("cuda" "HostUnregister", [](uintptr_t ptr) -> cudaError_t {
return cudaHostUnregister((void*)ptr);
});
#ifndef __HIP_PLATFORM_HCC__
cudart.def("cuda" "ProfilerInitialize", cudaProfilerInitialize);
#endif
}
} // namespace shared
} // namespace cuda
} // namespace torch
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