in src/image_gen_aux/modeling_utils.py [0:0]
def get_parameter_dtype(parameter: torch.nn.Module) -> torch.dtype:
"""
Gets the data type of a PyTorch module's parameters or buffers.
Args:
parameter (`torch.nn.Module`): The PyTorch module from which to get the data type.
Returns:
`torch.dtype`: The data type of the module's parameters or buffers.
"""
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
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
gen = parameter._named_members(get_members_fn=find_tensor_attributes)
first_tuple = next(gen)
return first_tuple[1].dtype