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Merge 1aae730936f820a2480bdbf54f8606208b475b0f into c0d2f624c09dc18e709e37c2ad90c039a4eb72a2

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Viraj 2025-10-27 19:35:09 -05:00 committed by GitHub
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1 changed files with 11 additions and 10 deletions
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whisper/timing.py
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@ -192,16 +192,17 @@ def find_alignment(
] ]
from .model import disable_sdpa from .model import disable_sdpa
with torch.no_grad(), disable_sdpa(): try:
logits = model(mel.unsqueeze(0), tokens.unsqueeze(0))[0] with torch.no_grad(), disable_sdpa():
sampled_logits = logits[len(tokenizer.sot_sequence) :, : tokenizer.eot] logits = model(mel.unsqueeze(0), tokens.unsqueeze(0))[0]
token_probs = sampled_logits.softmax(dim=-1) sampled_logits = logits[len(tokenizer.sot_sequence) :, : tokenizer.eot]
text_token_probs = token_probs[np.arange(len(text_tokens)), text_tokens] token_probs = sampled_logits.softmax(dim=-1)
text_token_probs = text_token_probs.tolist() text_token_probs = token_probs[np.arange(len(text_tokens)), text_tokens]
text_token_probs = text_token_probs.tolist()
for hook in hooks: finally:
hook.remove() for hook in hooks:
hook.remove()
# heads * tokens * frames # heads * tokens * frames
weights = torch.stack([QKs[_l][_h] for _l, _h in model.alignment_heads.indices().T]) weights = torch.stack([QKs[_l][_h] for _l, _h in model.alignment_heads.indices().T])