Ethanfel
6bc3fd6443
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>
15 lines
510 B
Python
15 lines
510 B
Python
import torch
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def distribute_into_histogram(loss: torch.Tensor,
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t: torch.Tensor,
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num_bins: int = 25) -> tuple[torch.Tensor, torch.Tensor]:
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loss = loss.detach().flatten()
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t = t.detach().flatten()
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t = (t * num_bins).long()
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hist = torch.zeros(num_bins, device=loss.device)
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count = torch.zeros(num_bins, device=loss.device)
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hist.scatter_add_(0, t, loss)
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count.scatter_add_(0, t, torch.ones_like(loss))
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return hist, count
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