python

PyTorch Matrix Multiplication Shape Error

RuntimeError: mat1 and mat2 shapes cannot be multiplied \(\d+x\d+ and \d+x\d+\)

Fixes

1.Verify linear layer in_features matches input tensor last dim
2.Use .T or .transpose() to align matrices
3.Print shapes at each layer to find mismatch

pytorchtensormatmul

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