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dohe0342 2023-01-10 01:10:05 +09:00
parent 260b3d4a9c
commit d2afe0ed22
2 changed files with 17 additions and 0 deletions
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egs/librispeech/ASR/incremental_transf/.train.py.swp
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egs/librispeech/ASR/incremental_transf/train.py
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@ -976,7 +976,24 @@ def run(rank, world_size, args):
for n, p in model.named_parameters():
if 'layer' not in n:
try: p.data = pre_trained_model2[n]
except: print(f'pre-trained model has no parameter named {n}.')
else:
layer_name_splited = n.split('.')
if int(layer_name_splited[3]) % 2 == 0:
layer_name_splited[0] = 'pt_encoder'
layer_name_splited[3] = str(int(layer_name_splited[3])//2)
old_name = '.'.join(layer_name_splited)
try: p.data = pre_trained_model[old_name]
except: print(f'pre-trained model has no parameter named {n}.')
else:
layer_name_splited[0] = 'inter_encoder'
layer_name_splited[3] = str(int(layer_name_splited[3])//2)
old_name = '.'.join(layer_name_splited)
try: p.data = pre_trained_model[old_name]
except: print(f'pre-trained model has no parameter named {n}.')
num_param = sum([p.numel() for p in model.parameters()])