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

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Merged
a-r-r-o-w merged 8 commits into from
Jul 17, 2024
+1 −1
Merged

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

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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
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2 changes: 1 addition & 1 deletion examples/research_projects/consistency_training/train_cm_ct_unconditional.py
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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(
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