mirrors/icefall
1
0
Fork 0
mirror of https://github.com/k2-fsa/icefall.git synced 2025-12-11 06:55:27 +00:00
Code Issues Packages Projects Releases Wiki Activity

from local

Browse Source
This commit is contained in:
dohe0342 2023-01-10 01:04:23 +09:00
parent 86df081ca0
commit bbd50fda4c
2 changed files with 13 additions and 8 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

BIN
egs/librispeech/ASR/incremental_transf/.train.py.swp
View File

Binary file not shown.

21
egs/librispeech/ASR/incremental_transf/train.py
View File

@ -966,14 +966,19 @@ def run(rank, world_size, args):
logging.info("About to create model")
model = get_transducer_model(params)
path = '/home/work/workspace/icefall/egs/librispeech/ASR/incremental_transf/conformer_24layers.pt'
pre_trained = torch.load(path)
pre_trained_model = pre_trained["model"]
#for n, p in model.named_parameters():
# if 'layer' not in n:
for n, p in pre_trained_model.items():
print(n)
exit()
path1 = '/home/work/workspace/icefall/egs/librispeech/ASR/incremental_transf/conformer_12layers.pt'
pre_trained1 = torch.load(path1)
pre_trained_model1 = pre_trained1["model"]
path2 = '/home/work/workspace/icefall/egs/librispeech/ASR/incremental_transf/conformer_24layers.pt'
pre_trained2 = torch.load(path2)
pre_trained_model2 = pre_trained2["model"]
for n, p in model.named_parameters():
if 'layer' not in n:
layer_name_splited = n.split('.')
num_param = sum([p.numel() for p in model.parameters()])
logging.info(f"Number of model parameters: {num_param}")