VhddlmZddlmZddlZddlmZddlmZmZm Z m Z gdZ ddee e ejfd efd Zd eefd Z dd edee e ejfd dfd Zdeed dfdZde d dfdZde d dfdZddZddZd e fdZy))Iterable)UnionN)Tensor) _lazy_call _lazy_initcurrent_device device_count) get_rng_stateget_rng_state_all set_rng_stateset_rng_state_all manual_seedmanual_seed_allseedseed_all initial_seeddevicereturnc8tt|trtj|}n&t|t rtjd|}|j }| t}tjj|}|jS)aRReturn the random number generator state of the specified GPU as a ByteTensor. Args: device (torch.device or int, optional): The device to return the RNG state of. Default: ``'cuda'`` (i.e., ``torch.device('cuda')``, the current CUDA device). .. warning:: This function eagerly initializes CUDA. cuda) r isinstancestrtorchrintindexr rdefault_generators get_state)ridxdefault_generators A/home/dcms/DCMS/lib/python3.12/site-packages/torch/cuda/random.pyr r suL&#f% FC ff- ,,C { 55c:  & & ((cbttDcgc] }t|}}|Scc}w)zQReturn a list of ByteTensor representing the random number states of all devices.)ranger r )iresultss r!r r .s,).|~)>?A}Q?G? N@s, new_statechtjj5|jtjdddt t rtjn&t trtjdfd}t|y#1swYgxYw)a/Set the random number generator state of the specified GPU. Args: new_state (torch.ByteTensor): The desired state device (torch.device or int, optional): The device to set the RNG state. Default: ``'cuda'`` (i.e., ``torch.device('cuda')``, the current CUDA device). ) memory_formatNrcj}| t}tjj|}|j yN)rr rrr set_state)rr rnew_state_copys r!cbzset_rng_state..cbEs<ll ; "C!JJ99#>##N3r") r_C_DisableFuncTorchclonecontiguous_formatrrrrr)r'rr.r-s ` @r!r r 4s  # # %P"u7N7NOP&#f% FC ff-4rNPPs !B((B1 new_statescBt|D]\}}t||y)zSet the random number generator state of all devices. Args: new_states (Iterable of torch.ByteTensor): The desired state for each device. N) enumerater )r3r%states r!rrOs& j) 5eQ r"rc@tfd}t|dy)aSet the seed for generating random numbers for the current GPU. It's safe to call this function if CUDA is not available; in that case, it is silently ignored. Args: seed (int): The desired seed. .. warning:: If you are working with a multi-GPU model, this function is insufficient to get determinism. To seed all GPUs, use :func:`manual_seed_all`. cvt}tjj|}|j yr+)r rrrr)rr rs r!r.zmanual_seed..cbhs.!JJ99#>%%d+r"T)rNrrrr.s` r!rrYs t9D, rr"c@tfd}t|dy)zSet the seed for generating random numbers on all GPUs. It's safe to call this function if CUDA is not available; in that case, it is silently ignored. Args: seed (int): The desired seed. cttD]0}tjj|}|j 2yr+)r$r rrrr)r%r rs r!r.zmanual_seed_all..cb{s<|~& 0A % = =a @   ) )$ / 0r"T)rNr9r:s` r!rrps t9D0 rD!r"c d}t|y)atSet the seed for generating random numbers to a random number for the current GPU. It's safe to call this function if CUDA is not available; in that case, it is silently ignored. .. warning:: If you are working with a multi-GPU model, this function will only initialize the seed on one GPU. To initialize all GPUs, use :func:`seed_all`. crt}tjj|}|j yr+)r rrrrrr s r!r.zseed..cbs+!JJ99#> r"Nrr.s r!rrs! rNr"c d}t|y)zSet the seed for generating random numbers to a random number on all GPUs. It's safe to call this function if CUDA is not available; in that case, it is silently ignored. cd}d}ttD]U}tjj|}|s#|j |j }d}E|j|Wy)NrFT)r$r rrrrrr) random_seedseededr%r s r!r.zseed_all..cbsg |~& ;A % = =a @ !&&(/<<> !--k: ;r"Nr@rAs r!rrs ;rNr"ctt}tjj|}|j S)zyReturn the current random seed of the current GPU. .. warning:: This function eagerly initializes CUDA. )rr rrrrr?s r!rrs5 L  C 55c:  ) ) ++r")r)rN)collections.abcrtypingrrrrrr r __all__rrrr listr r rrrrrrr"r!rMs$ BB )%S%,, 67)V),4<@F$S#u||%;< 6 (6"2 t cd."#"$"&&, ,c ,r"