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dohe0342 2023-01-10 01:12:13 +09:00
parent df36027418
commit ef7b3a47d4
2 changed files with 3 additions and 5 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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@ -977,7 +977,7 @@ def run(rank, world_size, args):
for n, p in model.named_parameters():
if 'layer' not in n:
try: p.data = pre_trained_model1[n]
except: print(f'pre-trained model has no parameter named {n}.')
except: print(f'1: pre-trained model has no parameter named {n}.')
else:
layer_name_splited = n.split('.')
if int(layer_name_splited[3]) % 2 == 0:
@ -985,21 +985,19 @@ def run(rank, world_size, args):
layer_name_splited[3] = str(int(layer_name_splited[3])//2)
old_name = '.'.join(layer_name_splited)
try: p.data = pre_trained_model2[old_name]
except: print(f'pre-trained model has no parameter named {n}.')
except: print(f'2: 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+1)
old_name = '.'.join(layer_name_splited)
try: p.data = pre_trained_model2[old_name]
except: print(f'pre-trained model has no parameter named {n}.')
except: print(f'3: pre-trained model has no parameter named {n}.')
del pre_trained1
del pre_trained2
del pre_trained_model1
del pre_trained_model2
num_param = sum([p.numel() for p in model.parameters()])
logging.info(f"Number of model parameters: {num_param}")