chore: vendor selva_core from jnwnlee/selva@d7d40a9

Pure PyTorch SelVA source for SelvaModelLoader/FeatureExtractor/Sampler nodes.
Imports rewritten from selva.* to selva_core.*. mel_converter.py: replaced
librosa.filters.mel with pure-numpy implementation to avoid librosa→numba→NumPy
version incompatibility in some ComfyUI environments.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-04-04 15:18:09 +02:00
parent 762b19fd3a
commit 6bc3fd6443
106 changed files with 11323 additions and 0 deletions
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import torch
def distribute_into_histogram(loss: torch.Tensor,
t: torch.Tensor,
num_bins: int = 25) -> tuple[torch.Tensor, torch.Tensor]:
loss = loss.detach().flatten()
t = t.detach().flatten()
t = (t * num_bins).long()
hist = torch.zeros(num_bins, device=loss.device)
count = torch.zeros(num_bins, device=loss.device)
hist.scatter_add_(0, t, loss)
count.scatter_add_(0, t, torch.ones_like(loss))
return hist, count