python

PyTorch Stack Unequal Tensors

RuntimeError: stack expects each tensor to be equal size

Fixes

1.Pad sequences to same length before stacking
2.Use torch.nn.utils.rnn.pad_sequence()
3.Filter out samples with incompatible sizes in DataLoader collate_fn

pytorchtensorstack

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