Ry3yr
commented
4 months ago Also the extraction fails on all programs for these 4 - throws "unsupported compression method" (On WinRar, 7Zip, anywhere. The download was succesful tho)
Kinda weird. I never experienced this error with any archive.
I have like 30 gigs free on my hdd, so that is not the issue
See also: https://github.com/JarodMica/ai-voice-cloning/issues/138
File "C:\ai-voice-cloning-3.0\runtime\Lib\site-packages\torch\nn\modules\module.py", line 1152, in to return self._apply(convert) ^^^^^^^^^^^^^^^^^^^^ File "C:\ai-voice-cloning-3.0\runtime\Lib\site-packages\torch\nn\modules\module.py", line 802, in _apply module._apply(fn) File "C:\ai-voice-cloning-3.0\runtime\Lib\site-packages\torch\nn\modules\module.py", line 802, in _apply module._apply(fn) File "C:\ai-voice-cloning-3.0\runtime\Lib\site-packages\torch\nn\modules\module.py", line 802, in _apply module._apply(fn) [Previous line repeated 6 more times] File "C:\ai-voice-cloning-3.0\runtime\Lib\site-packages\torch\nn\modules\module.py", line 825, in _apply param_applied = fn(param) ^^^^^^^^^ File "C:\ai-voice-cloning-3.0\runtime\Lib\site-packages\torch\nn\modules\module.py", line 1150, in convert return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 0 has a total capacity of 4.00 GiB of which 0 bytes is free. Of the allocated memory 3.49 GiB is allocated by PyTorch, and 56.46 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
These are my PC specs https://ry3yr.github.io/mypc