Skip to content

Fix Mac MPS support + PyTorch 2.6+ weights_only compat #248

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
hewuxingkong wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Fix Mac MPS support + PyTorch 2.6+ weights_only compat #248

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 2 additions & 1 deletion extract_f0_print.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -241,7 +241,8 @@ def compute_f0(self, path, f0_method, crepe_hop_length):
from rmvpe import RMVPE

print("loading rmvpe model")
self.model_rmvpe = RMVPE("rmvpe.pt", is_half=False, device="cuda:0")
_dev = "cuda:0" if torch.cuda.is_available() else ("mps" if torch.backends.mps.is_available() else "cpu")
self.model_rmvpe = RMVPE("rmvpe.pt", is_half=False, device=_dev)
f0 = self.model_rmvpe.infer_from_audio(x, thred=0.03)
elif f0_method == "dio":
f0, t = pyworld.dio(
Expand Down
8 changes: 8 additions & 0 deletions extract_feature_print.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -15,6 +15,14 @@
os.environ["CUDA_VISIBLE_DEVICES"] = str(i_gpu)
version = sys.argv[6]
import torch
# Patch torch.load for PyTorch 2.6+ (fairseq calls it with weights_only=True by default)
_orig_torch_load = torch.load
def _patched_torch_load(*args, **kwargs):
if "weights_only" not in kwargs:
kwargs["weights_only"] = False
return _orig_torch_load(*args, **kwargs)
torch.load = _patched_torch_load

import torch.nn.functional as F
import soundfile as sf
import numpy as np
Expand Down