JTh SSKJr SSKJr SSKrS\\R S\R 4SjrS\R S\\R SS4SjrS \R S \\S\4S jr g) )Iterable)OptionalN parametersreturncSn/nUH.n[X15nURURS55 M0 [R"U5$)zFlatten an iterable of parameters into a single vector. Args: parameters (Iterable[Tensor]): an iterable of Tensors that are the parameters of a model. Returns: The parameters represented by a single vector N)_check_param_deviceappendviewtorchcat)r param_devicevecparams Y/var/www/auris/envauris/lib/python3.13/site-packages/torch/nn/utils/convert_parameters.pyparameters_to_vectorrsFL C*5?  5::b>"  99S>rc&[U[R5(d"[S[R"U535eSnSnUHFn[ XB5nUR 5nXX5-RU5RUlX5- nMH g)zCopy slices of a vector into an iterable of parameters. Args: vec (Tensor): a single vector representing the parameters of a model. parameters (Iterable[Tensor]): an iterable of Tensors that are the parameters of a model. z expected torch.Tensor, but got: Nr) isinstancer Tensor TypeErrortypenamer numelview_asdata)rrrpointerr num_params rvector_to_parametersrs c5<< ( (:5>>#;N:OPQQLG*5? KKM 7#67??FKK  rrold_param_devicec:S[RR5/nUc0URRU;aUR 5nU$SnU$SnURRU;aUR 5U:gnOUS:gnU(a [ S5eU$)aCheck if the parameters are located on the same device. Currently, the conversion between model parameters and single vector form is not supported for multiple allocations, e.g. parameters in different GPUs/PrivateUse1s, or mixture of CPU/GPU/PrivateUse1. Args: param ([Tensor]): a Tensor of a parameter of a model old_param_device (int): the device where the first parameter of a model is allocated. Returns: old_param_device (int): report device for the first time cudarFzKFound two parameters on different devices, this is currently not supported.)r _C_get_privateuse1_backend_namedevicetype get_devicer)rrsupport_device_typeswarns rr r :s#EHH$J$J$LM"',,"3"37K"KE     RT   LL  !5 5##%)99D#r)D 3  r) collections.abcrtypingrr rrrintr rrr-sy$ Xell%; ,ell8NSW:!u||!x}!QT!r