Skip to content

Fix multi-gpu case for train_cm_ct_unconditional.py in terms of unwrapping unet model #8653

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

Merged
a-r-r-o-w merged 8 commits into from
Jul 17, 2024
Merged

Fix multi-gpu case for train_cm_ct_unconditional.py in terms of unwrapping unet model #8653

Changes from 7 commits
Commits
Show all changes
8 commits
Select commit Hold shift + click to select a range
df1ad86
Fix multi-gpu case
tolgacangoz Jun 20, 2024
6aab9be
Merge branch 'main' into fix-multi-gpu-ct
tolgacangoz Jun 27, 2024
6c0cca6
Merge branch 'main' into fix-multi-gpu-ct
tolgacangoz Jul 8, 2024
fd5a80b
Merge branch 'main' into fix-multi-gpu-ct
tolgacangoz Jul 11, 2024
604a708
Merge branch 'main' into fix-multi-gpu-ct
tolgacangoz Jul 13, 2024
4b06b95
Prefer previously created `unwrap_model()` function
tolgacangoz Jul 17, 2024
4d8fcec
Merge branch 'main' into fix-multi-gpu-ct
tolgacangoz Jul 17, 2024
62f1ff3
`chore: update unwrap_model() function to use accelerator.unwrap_mode…
tolgacangoz Jul 17, 2024
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
4 changes: 2 additions & 2 deletions examples/research_projects/consistency_training/train_cm_ct_unconditional.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -198,7 +198,7 @@ def scalings_for_boundary_conditions(timestep, sigma_data=0.5, timestep_scaling=
def log_validation(unet, scheduler, args, accelerator, weight_dtype, step, name="teacher"):
logger.info("Running validation... ")

unet = accelerator.unwrap_model(unet)
unet = unwrap_model(unet)
pipeline = ConsistencyModelPipeline(
unet=unet,
scheduler=scheduler,
Expand Down Expand Up @@ -1195,7 +1195,7 @@ def unwrap_model(model):

# Resolve the c parameter for the Pseudo-Huber loss
if args.huber_c is None:
args.huber_c = 0.00054 * args.resolution * math.sqrt(unet.config.in_channels)
args.huber_c = 0.00054 * args.resolution * math.sqrt(unwrap_model(unet).config.in_channels)

# Get current number of discretization steps N according to our discretization curriculum
current_discretization_steps = get_discretization_steps(
Expand Down