Out of Memory

The API call failed because it was unable to allocate enough memory to perform the requested operation. Commonly surfaced by ML frameworks as "CUDA out of memory" when a model or batch exceeds available GPU memory.

References

docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html

In this namespace

← previous cudaErrorLaunchTimeout Launch Timeout next → cudaErrorNoDevice No Device

cudaErrorInvalidResourceHandle cudaErrorInvalidValue cudaErrorLaunchFailure cudaErrorLaunchOutOfResources cudaErrorLaunchTimeout cudaErrorMemoryAllocation cudaErrorNoDevice cudaErrorNoKernelImageForDevice cudaErrorNotReady cudaErrorUnknown cudaSuccess