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

Jump to bottom

pt: fix multitask stuck on multiple-gpu #3411

Merged
merged 1 commit into from
Mar 5, 2024
Merged

pt: fix multitask stuck on multiple-gpu #3411

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
22 changes: 12 additions & 10 deletions deepmd/pt/model/descriptor/descriptor.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -126,16 +126,18 @@ def share_params(self, base_class, shared_level, resume=False):
), "Only descriptors of the same type can share params!"
if shared_level == 0:
# link buffers
if hasattr(self, "mean") and not resume:
# in case of change params during resume
base_env = EnvMatStatSe(base_class)
base_env.stats = base_class.stats
for kk in base_class.get_stats():
base_env.stats[kk] += self.get_stats()[kk]
mean, stddev = base_env()
if not base_class.set_davg_zero:
base_class.mean.copy_(torch.tensor(mean, device=env.DEVICE))
base_class.stddev.copy_(torch.tensor(stddev, device=env.DEVICE))
if hasattr(self, "mean"):
if not resume:
# in case of change params during resume
base_env = EnvMatStatSe(base_class)
base_env.stats = base_class.stats
for kk in base_class.get_stats():
base_env.stats[kk] += self.get_stats()[kk]
mean, stddev = base_env()
if not base_class.set_davg_zero:
base_class.mean.copy_(torch.tensor(mean, device=env.DEVICE))
base_class.stddev.copy_(torch.tensor(stddev, device=env.DEVICE))
# must share, even if not do stat
self.mean = base_class.mean
self.stddev = base_class.stddev
# self.load_state_dict(base_class.state_dict()) # this does not work, because it only inits the model
Expand Down