+ &j^RIHt^RIt^RIHt^RIHtHtHtHtH t .ROt RRRllt RRlt RR R llt R R ltR RltRRltRRltRRltRRltR#))IterableN)Tensor) _lazy_call _lazy_initcurrent_device device_countis_initializedcpV^8dQhR\\,\P,R\/#)devicereturn)intstrtorchr r)formats"i/Users/jameslopez/projects/CWCArchive/cwc-podcast/.venv/lib/python3.14/site-packages/torch/cuda/random.py __annotate__rs'))#)ell2))c`\4\V\4'd\P!V4pM-\V\ 4'd\P!RV4pVP pVf \4p\PPV,pVP4#)a:Return 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 isinstancerrr rindexrrdefault_generators get_state)r idxdefault_generators& r get_rng_staters{L&#f% FC ff- ,,C { 55c:  & & ((rc:V^8dQhR\\,/#r r )listr)rs"rrr-s4<rcf\\44Uu.uFp\V4NK ppV#uupi)zQReturn a list of ByteTensor representing the random number states of all devices.)rangerr)iresultss rget_rng_state_allr%-s/).|~)>?)>A}Q)>G? N@s.ctV^8dQhR\R\\,\P,RR/#)r new_stater r N)rrrrr )rs"rrr3s/VS3Y-ESWrcaa\4'gP\PP4;_uu_4SP \P R7oRRR4\ S\4'd\P!S4oM-\ S\4'd\P!RS4oVV3Rlp\V4R# +'giL~;i)aSet 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_formatNrc<SPpVf \4p\PPV,pVP S4R#N)rrrrr set_state)rrr r's rcbset_rng_state..cbEs<ll ; "C!JJ99#>##I.r) r r_C_DisableFuncTorchclonecontiguous_formatrrr rr)r'r r-sff r set_rng_stater33s    XX ' ' ) )"e6M6MNI*&#f% FC ff-/rN!* )s !C C c>V^8dQhR\\,RR/#)r new_statesr N)rr)rs"rrrOs  (6"2 t rcD\V4Fwr\W!4K R#)zSet the random number generator state of all devices. Args: new_states (Iterable of torch.ByteTensor): The desired state for each device. N) enumerater3)r5r#states& rset_rng_state_allr9Os j)e*rc(V^8dQhR\RR/#r seedr Nr)rs"rrrYscdrcDa\S4oV3Rlp\VRR7R#)amSet 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`. c<\4p\PPV,pVP S4R#r+)rrrr manual_seed)rrr<s rr-manual_seed..cbhs.!JJ99#>%%d+rT)r<Nrrr<r-sf rr@r@Ys t9D, rrc(V^8dQhR\RR/#r;r=)rs"rrrps""#"$"rcDa\S4oV3Rlp\VRR7R#)zSet the seed for generating random numbers on all GPUs. It's safe to call this function if CUDA is not available; in that case, it is silently ignored. Args: seed (int): The desired seed. c<\\44F5p\PPV,pVP S4K7 R#r+)r"rrrrr@)r#rr<s rr-manual_seed_all..cb{s7|~&A % = =a @   ) )$ /'rT)seed_allNrBrCsf rmanual_seed_allrIps t9D0 rD!rcV^8dQhRR/#r r N)rs"rrrsdrc"Rp\V4R#)a\Set 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`. c|\4p\PPV,pVP 4R#r+)rrrrr<rrs rr-seed..cbs+!JJ99#> rNrr-s rr<r<s! rNrcV^8dQhRR/#rKrL)rs"rrrs$rc"Rp\V4R#)zSet the seed for generating random numbers to a random number on all GPUs. It's safe to call this function if CUDA is not available; in that case, it is silently ignored. c^pRp\\44Fap\PPV,pV'g%VP 4VP 4pRpKPVPV4Kc R#)rFTN)r"rrrrr< initial_seedr@) random_seedseededr#rs rr-seed_all..cbsb |~&A % = =a @ !&&(/<<> !--k:'rNrQrRs rrHrHs ;rNrc$V^8dQhR\/#rr=)rs"rrrs , ,c ,rc\4\4p\PPV,pVP 4#)zmReturn the current random seed of the current GPU. .. warning:: This function eagerly initializes CUDA. )rrrrrrVrOs rrVrVs5 L  C 55c:  ) ) ++r) rr%r3r9r@rIr<rHrV)r)collections.abcrrrrrrrr __all__rr%r3r9r@rIr<rHrVrLrrr_sH$ RR ), 8 ."&&, ,r