#h ddlmZmZmZddlZddlmZddlmZmZm Z m Z gdZ dd ee e ejfd efd Zd eefd Z dd ed ee e ejfd dfdZdeed dfdZde d dfdZde d dfdZddZddZd e fdZdS))IterableListUnionN)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_seedcudadevicereturncJtt|trtj|}n*t|t rtjd|}|j}|t}tjj |}| S)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. r) r isinstancestrtorchrintindexr rdefault_generators get_state)ridxdefault_generators Q/var/www/html/auto_sub_bot/venv/lib/python3.11/site-packages/torch/cuda/random.pyr r sLLL&#.f%% FC .ff-- ,C { 5c:  & & ( ((cg}ttD]$}|t|%|S)zQReturn a list of ByteTensor representing the random number states of all devices.)ranger appendr )resultsis r#rr*sDG <>> " "))}Q''(((( Nr$ new_statectj5|tjdddn #1swxYwYt t rtjn*t trtjdfd}t|dS)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|}|dSN)rr rrr set_state)r!r"rnew_state_copys r#cbzset_rng_state..cbCsDl ; ""C!J9#>##N33333r$) r_C_DisableFuncTorchclonecontiguous_formatrrrrr )r*rr1r0s ` @r#rr2s   # # % %PP"u7NOOPPPPPPPPPPPPPPP&#.f%% FC .ff--444444rNNNNNs!AAA new_statescPt|D]\}}t||dS)zSet the random number generator state of all devices. Args: new_states (Iterable of torch.ByteTensor): The desired state for each device. N) enumerater)r6r)states r#rrMs< j))  5eQ  r$rcRtfd}t|ddS)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`. c|t}tjj|}|dSr.)r rrrr)r!r"rs r#r1zmanual_seed..cbfs8!J9#>%%d+++++r$T)rNrr rr1s` r#rrWsD t99D,,,,, rr$cRtfd}t|ddS)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].}tjj|}|/dSr.)r&r rrrr)r)r"rs r#r1zmanual_seed_all..cbysO|~~&& 0 0A % =a @   ) )$ / / / / 0 0r$T)rNr<r=s` r#rrnsD t99D00000 rD!!!!!!r$c*d}t|dS)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`. cxt}tjj|}|dSr.)r rrrrr!r"s r#r1zseed..cbs5!J9#>     r$Nr r1s r#rrs"!!! rNNNNNr$c*d}t|dS)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][}tjj|}|s+||}d}F||\dS)NrFT)r&r rrrrrr) random_seedseededr)r"s r#r1zseed_all..cbs |~~&& ; ;A % =a @  ;!&&(((/<<>> !--k:::: ; ;r$NrCrDs r#rrs" ; ; ;rNNNNNr$ctt}tjj|}|S)zyReturn the current random seed of the current GPU. .. warning:: This function eagerly initializes CUDA. )r r rrrrrBs r#rrs: LLL   C 5c:  ) ) + ++r$)r)rN)typingrrrrrr r r r __all__rrrr rrrrrrrrr$r#rNs(((((((((( BBBBBBBBBBBB   ))%S%, 67)V)))),4<@F$S#u|%;< 6 (6"2 t    cd."#"$""""&&, ,c , , , , , ,r$