Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

feat: Improve model checkpoint loading #253

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

feat: Improve model checkpoint loading #253

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
15 changes: 12 additions & 3 deletions models.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -696,12 +696,21 @@ def build_model(args, text_aligner, pitch_extractor, bert):
def load_checkpoint(model, optimizer, path, load_only_params=True, ignore_modules=[]):
state = torch.load(path, map_location='cpu')
params = state['net']

for key in model:
if key in params and key not in ignore_modules:
try:
model[key].load_state_dict(params[key], strict=True)
except:
from collections import OrderedDict
state_dict = params[key]
new_state_dict = OrderedDict()
print(f'{key} key length: {len(model[key].state_dict().keys())}, state_dict key length: {len(state_dict.keys())}')
for (k_m, v_m), (k_c, v_c) in zip(model[key].state_dict().items(), state_dict.items()):
new_state_dict[k_m] = v_c
model[key].load_state_dict(new_state_dict, strict=True)
print('%s loaded' % key)
model[key].load_state_dict(params[key], strict=False)
_ = [model[key].eval() for key in model]


if not load_only_params:
epoch = state["epoch"]
iters = state["iters"]
Expand Down