From c76e88405c1464357a8fa508bef37ce561899e2b Mon Sep 17 00:00:00 2001 From: YiYi Xu Date: Wed, 25 Sep 2024 11:00:57 -1000 Subject: [PATCH] update get_parameter_dtype (#9526) * up * Update src/diffusers/models/modeling_utils.py Co-authored-by: Aryan --------- Co-authored-by: Aryan --- src/diffusers/models/modeling_utils.py | 26 +++++++++++--------------- 1 file changed, 11 insertions(+), 15 deletions(-) diff --git a/src/diffusers/models/modeling_utils.py b/src/diffusers/models/modeling_utils.py index cfe692dcc5..9e0c50e8b3 100644 --- a/src/diffusers/models/modeling_utils.py +++ b/src/diffusers/models/modeling_utils.py @@ -93,24 +93,20 @@ def get_parameter_device(parameter: torch.nn.Module) -> torch.device: def get_parameter_dtype(parameter: torch.nn.Module) -> torch.dtype: try: - params = tuple(parameter.parameters()) - if len(params) > 0: - return params[0].dtype - - buffers = tuple(parameter.buffers()) - if len(buffers) > 0: - return buffers[0].dtype - + return next(parameter.parameters()).dtype except StopIteration: - # For torch.nn.DataParallel compatibility in PyTorch 1.5 + try: + return next(parameter.buffers()).dtype + except StopIteration: + # For torch.nn.DataParallel compatibility in PyTorch 1.5 - def find_tensor_attributes(module: torch.nn.Module) -> List[Tuple[str, Tensor]]: - tuples = [(k, v) for k, v in module.__dict__.items() if torch.is_tensor(v)] - return tuples + def find_tensor_attributes(module: torch.nn.Module) -> List[Tuple[str, Tensor]]: + tuples = [(k, v) for k, v in module.__dict__.items() if torch.is_tensor(v)] + return tuples - gen = parameter._named_members(get_members_fn=find_tensor_attributes) - first_tuple = next(gen) - return first_tuple[1].dtype + gen = parameter._named_members(get_members_fn=find_tensor_attributes) + first_tuple = next(gen) + return first_tuple[1].dtype class ModelMixin(torch.nn.Module, PushToHubMixin):