mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-06 12:20:52 +01:00
08540b13c6
Use cudaError_t and switch through the enum to prevent impact by upstream changes in wording Pull Request resolved: https://github.com/pytorch/pytorch/pull/158688 Approved by: https://github.com/q10, https://github.com/aorenste
48 lines
1.5 KiB
C++
48 lines
1.5 KiB
C++
#include <c10/cuda/CUDAException.h>
|
|
|
|
#include <c10/cuda/CUDADeviceAssertionHost.h>
|
|
#include <c10/util/Exception.h>
|
|
#include <cuda_runtime.h>
|
|
|
|
#include <string>
|
|
|
|
namespace c10::cuda {
|
|
|
|
void c10_cuda_check_implementation(
|
|
const int32_t err,
|
|
const char* /*filename*/,
|
|
const char* /*function_name*/,
|
|
const int /*line_number*/,
|
|
const bool include_device_assertions) {
|
|
const auto cuda_error = static_cast<cudaError_t>(err);
|
|
const auto cuda_kernel_failure = include_device_assertions
|
|
? c10::cuda::CUDAKernelLaunchRegistry::get_singleton_ref().has_failed()
|
|
: false;
|
|
|
|
if (C10_LIKELY(cuda_error == cudaSuccess && !cuda_kernel_failure)) {
|
|
return;
|
|
}
|
|
|
|
[[maybe_unused]] auto error_unused = cudaGetLastError();
|
|
|
|
std::string check_message;
|
|
#ifndef STRIP_ERROR_MESSAGES
|
|
check_message.append("CUDA error: ");
|
|
const char* error_string = cudaGetErrorString(cuda_error);
|
|
check_message.append(error_string);
|
|
check_message.append(c10::cuda::get_cuda_error_help(cuda_error));
|
|
check_message.append(c10::cuda::get_cuda_check_suffix());
|
|
check_message.append("\n");
|
|
if (include_device_assertions) {
|
|
check_message.append(c10_retrieve_device_side_assertion_info());
|
|
} else {
|
|
check_message.append(
|
|
"Device-side assertions were explicitly omitted for this error check; the error probably arose while initializing the DSA handlers.");
|
|
}
|
|
#endif
|
|
throw c10::AcceleratorError(
|
|
{__func__, __FILE__, int32_t(__LINE__)}, err, check_message);
|
|
}
|
|
|
|
} // namespace c10::cuda
|