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Fix incorrect docstring defaults for DiffusionModelUNet #8571

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Fix incorrect docstring defaults for DiffusionModelUNet #8571

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Fix incorrect defaults for use_combined_linear and add default for us…
eitag-uni Sep 15, 2025
d099b9d
Merge branch 'dev' into dev
ericspod Sep 22, 2025
2ddd7b3
Merge branch 'dev' into dev
KumoLiu Oct 10, 2025
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4 changes: 2 additions & 2 deletions monai/networks/nets/diffusion_model_unet.py
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Expand Up @@ -1527,9 +1527,9 @@ class DiffusionModelUNet(nn.Module):
upcast_attention: if True, upcast attention operations to full precision.
dropout_cattn: if different from zero, this will be the dropout value for the cross-attention layers.
include_fc: whether to include the final linear layer. Default to True.
use_combined_linear: whether to use a single linear layer for qkv projection, default to True.
use_combined_linear: whether to use a single linear layer for qkv projection, default to False.
use_flash_attention: if True, use Pytorch's inbuilt flash attention for a memory efficient attention mechanism
(see https://pytorch.org/docs/2.2/generated/torch.nn.functional.scaled_dot_product_attention.html).
(see https://pytorch.org/docs/2.2/generated/torch.nn.functional.scaled_dot_product_attention.html), default to False.
"""

def __init__(
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