Ethanfel 614a2e02aa fix: weights_only=False for SelVA checkpoints (PyTorch 2.6 compat) ...

PyTorch 2.6 changed the default to weights_only=True. SelVA checkpoints
contain non-tensor types (numpy scalars etc.) that fail strict unpickling.
All weights come from trusted sources (jnwnlee/selva HF repo).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-04-04 16:38:31 +02:00

..

alias_free_torch

chore: vendor selva_core from jnwnlee/selva@d7d40a9

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incl_licenses

chore: vendor selva_core from jnwnlee/selva@d7d40a9

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__init__.py

chore: vendor selva_core from jnwnlee/selva@d7d40a9

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activations.py

chore: vendor selva_core from jnwnlee/selva@d7d40a9

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bigvgan_vocoder.yml

chore: vendor selva_core from jnwnlee/selva@d7d40a9

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bigvgan.py

fix: weights_only=False for SelVA checkpoints (PyTorch 2.6 compat)

2026-04-04 16:38:31 +02:00

env.py

chore: vendor selva_core from jnwnlee/selva@d7d40a9

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LICENSE

chore: vendor selva_core from jnwnlee/selva@d7d40a9

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models.py

chore: vendor selva_core from jnwnlee/selva@d7d40a9

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utils.py

chore: vendor selva_core from jnwnlee/selva@d7d40a9

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