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Hi there! Thank you for providing code and checkpoints for your work, especially the streaming implementation :)
Unfortunately at the moment the streaming_demo.py is not working on my machine. It runs into the following error immediately when running the recommended command PYTHONPATH=./ python src/examples/streaming_demo.py:
An unexpected error occurred: The size of tensor a (295) must match the size of tensor b (63) at non-singleton dimension 1
Traceback (most recent call last):
File "/export/home/.../CleanUMamba/src/examples/streaming_demo.py", line 135, in <module>
model_output = model.feed(tensor_chunk)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/export/home/.../CleanUMambaEnv/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/export/home/.../src/network/CleanUMamba.py", line 403, in feed
out = self._denoise_frame(frame)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/export/home/.../src/network/CleanUMamba.py", line 477, in _denoise_frame
x += skip_i[..., :x.shape[-1]]
RuntimeError: The size of tensor a (295) must match the size of tensor b (63) at non-singleton dimension 1
I did not modify the script or any parameters, keeping everything default. Might there a a configuration mismatch between the default checkpoint and the chunksize values etc. configured in the script, causing this shape mismatch? I don't get any error from PyAudio, so I'm assuming that it is accepting the sampling rate of 16000 Hz for my local soundcard.
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