python

PyTorch CUDA Compute Capability Mismatch

CUDA error: no kernel image is available for execution on the device

Fixes

1.Install PyTorch built for your GPU architecture
2.Check GPU compute capability with nvidia-smi
3.Build PyTorch from source with correct TORCH_CUDA_ARCH_LIST

pytorchcudacompatibility

Related Errors

Asyncio event loop already running

RuntimeError: This event loop is already running

•Use nest_asyncio.apply() to allow nested event loops
•Use asyncio.run_coroutine_threadsafe() instead of asyncio.run()

Coroutine never awaited

RuntimeWarning: coroutine '.*' was never awaited

•Add 'await' before the coroutine call
•Use asyncio.create_task() to schedule the coroutine

Asyncio task was cancelled

asyncio\.CancelledError

•Handle CancelledError in try/except within the task
•Use asyncio.shield() to protect critical sections from cancellation