ugh
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@ -195,7 +195,7 @@ def process(
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sorted_similarities = {}
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sorted_similarities = {}
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for index, filename in tqdm(enumerate(keys), total=len(keys), desc=f"Computing similarities: {speaker_path.name}"):
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for index, filename in tqdm(enumerate(keys), total=len(keys), desc=f"Computing similarities: {speaker_path.name}", disable=not verbose):
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if features[filename] is None:
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if features[filename] is None:
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continue
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continue
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@ -241,7 +241,7 @@ def main():
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args = parser.parse_args()
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args = parser.parse_args()
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args.skip_existing = False #
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args.skip_existing = True #
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if args.use_dataset:
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if args.use_dataset:
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cfg.metadata_dir.mkdir(parents=True, exist_ok=True)
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cfg.metadata_dir.mkdir(parents=True, exist_ok=True)
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@ -278,7 +278,7 @@ def main():
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dtype=args.dtype,
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dtype=args.dtype,
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amp=args.amp,
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amp=args.amp,
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verbose=True,
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verbose=False,
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)
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)
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if not similarities:
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if not similarities:
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@ -188,6 +188,7 @@ def load_engines(training=True, **model_kwargs):
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keys = [
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keys = [
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("text_emb.weight", model.config.text_tokens ),
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("text_emb.weight", model.config.text_tokens ),
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("tasks_emb.weight", model.config.tasks ),
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("tasks_emb.weight", model.config.tasks ),
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("langs_emb.weight", model.config.langs ),
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("rvq_l_emb.weight", model.config.resp_levels + (1 if "len" in model.config.capabilities else 0) ),
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("rvq_l_emb.weight", model.config.resp_levels + (1 if "len" in model.config.capabilities else 0) ),
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("resps_emb.embeddings.0.weight", model.config.audio_tokens + uses_stop_token ),
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("resps_emb.embeddings.0.weight", model.config.audio_tokens + uses_stop_token ),
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("model.embed_tokens.weight", model.config.audio_tokens + uses_stop_token ),
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("model.embed_tokens.weight", model.config.audio_tokens + uses_stop_token ),
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