python

PyTorch View Non-Contiguous Tensor

RuntimeError: view size is not compatible with input tensor's size and stride

Fixes

1.Call .contiguous() before .view()
2.Use .reshape() instead which handles non-contiguous
3.Check memory layout with .is_contiguous()

pytorchtensorview

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