johlim comments

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                                            johlim

Lost of precision due to the use of float as type for degrees

I also would like this modification. there is experience of experiencing problems with float-type GPS coordinate errors.

"No GPU being used. Careful, inference might be very slow!"

cuda Download link https://developer.nvidia.com/cuda-downloads * torch Download Link https://download.pytorch.org/whl/torch/ pip install torch==2.0.0+cu117 -f https://download.pytorch.org/whl/cu117/torch_stable.html * tourchaudio tourch audio,vision downloadLink https://download.pytorch.org/whl/torchaudio/ https://download.pytorch.org/whl/torchvision/ If you're using python 3.10 and torch 2.0, you...

"No GPU being used. Careful, inference might be very slow!"

I was struggling with the out of memory error message, but when I typed it correctly in the running console environment, it worked. "set SUNO_USE_SMALL_MODELS=True" ``` return t.to(device, dtype if...

"No GPU being used. Careful, inference might be very slow!"

@gkucsko It would be nice to add an example to the ReadMe documentation of using set SUNO_USE_SMALL_MODELS=True in the console before doing the python code.