speech_recognition/FunASR
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decoding

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This commit is contained in:
游雁 2024-06-12 19:17:55 +08:00
parent 2518f03d20
commit e4a69d4768
2 changed files with 9 additions and 7 deletions
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15
funasr/models/llm_asr/model.py
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@ -413,15 +413,16 @@ class LLMASR2(nn.Module):
if freeze:
for name, param in audio_encoder.named_parameters():
idx = re.search(r"\.\d+\.", name)
if idx is not None:
beg, end = idx.regs[0]
layer_id = int(name[beg + 1 : end - 1])
if isinstance(freeze_layer_num, (list, tuple)):
if isinstance(freeze_layer_num, (list, tuple)):
idx = re.search(r"\.\d+\.", name)
if idx is not None:
beg, end = idx.regs[0]
layer_id = int(name[beg + 1 : end - 1])
if layer_id in freeze_layer_num:
param.requires_grad = False
else:
param.requires_grad = False
else:
param.requires_grad = False
audio_encoder.eval()
self.audio_encoder = audio_encoder

1
funasr/train_utils/trainer_ds.py
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@ -313,6 +313,7 @@ class Trainer:
state_dict = model.state_dict()
if self.effective_save_name_excludes is not None:
logging.info(f"effective_save_name_excludes: {self.effective_save_name_excludes}")
dst_state_dict = {}
for k in state_dict.keys():
for k_ex in self.effective_save_name_excludes: