python

PyTorch CUDA out of memory

RuntimeError:.*CUDA out of memory

Fixes

1.Reduce batch size in training/inference
2.Use torch.cuda.empty_cache() to free unused memory
3.Enable gradient checkpointing with model.gradient_checkpointing_enable()
4.Use mixed precision training with torch.cuda.amp

pytorchcudamemory

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