קg ddlmZmZmZddlZddlmZddlmZmZm Z m Z gdZ ddee e ejfd efd Zd eefd Z dd edee e ejfd dfd Zdeed 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 M/var/www/html/ai-engine/env/lib/python3.11/site-packages/torch/cuda/random.pyr r sLLL&#.f%% FC .ff-- ,C { 5c:  & & ( ((cg}ttD]$}|t|%|S)zQReturn a list of ByteTensor representing the random number states of all devices.)ranger appendr )resultsis r"r r -sDG <>> " "))}Q''(((( Nr# new_statectj5|tjdddn #1swxYwYt t rtjn*t trtjdfd}t|dS)a/Set the random number generator state of the specified GPU. Args: new_state (torch.ByteTensor): The desired state device (torch.device or int, optional): The device to set the RNG state. Default: ``'cuda'`` (i.e., ``torch.device('cuda')``, the current CUDA device). ) memory_formatNrcj}|t}tjj|}|dSN)rr rrr set_state)r r!rnew_state_copys r"cbzset_rng_state..cbFsDl ; ""C!J9#>##N33333r#) r_C_DisableFuncTorchclonecontiguous_formatrrrrr)r)rr0r/s ` @r"rr5s   # # % %PP"u7NOOPPPPPPPPPPPPPPP&#.f%% FC .ff--444444rNNNNNs!AAA new_statescPt|D]\}}t||dS)zSet the random number generator state of all devices. Args: new_states (Iterable of torch.ByteTensor): The desired state for each device. N) enumerater)r5r(states r"rrPs< j))  5eQ  r#rcRtfd}t|ddS)aSet the seed for generating random numbers for the current GPU. It's safe to call this function if CUDA is not available; in that case, it is silently ignored. Args: seed (int): The desired seed. .. warning:: If you are working with a multi-GPU model, this function is insufficient to get determinism. To seed all GPUs, use :func:`manual_seed_all`. c|t}tjj|}|dSr-)r rrrr)r r!rs r"r0zmanual_seed..cbis8!J9#>%%d+++++r#T)rNrrrr0s` r"rrZsD t99D,,,,, rr#cRtfd}t|ddS)zSet the seed for generating random numbers on all GPUs. It's safe to call this function if CUDA is not available; in that case, it is silently ignored. Args: seed (int): The desired seed. cttD].}tjj|}|/dSr-)r%r rrrr)r(r!rs r"r0zmanual_seed_all..cb|sO|~~&& 0 0A % =a @   ) )$ / / / / 0 0r#T)rNr;r<s` r"rrqsD 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"r0zseed..cbs5!J9#>     r#Nrr0s 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"r0zseed_all..cbs |~~&& ; ;A % =a @  ;!&&(((/<<>> !--k:::: ; ;r#NrBrCs r"rrs" ; ; ;rNNNNNr#ctt}tjj|}|S)zyReturn the current random seed of the current GPU. .. warning:: This function eagerly initializes CUDA. )r r rrrrrAs r"rrs: LLL   C 5c:  ) ) + ++r#)r)rN)typingrrrrrrr r r __all__rrrr r rrrrrrrr#r"rMs(((((((((( BBBBBBBBBBBB   ))%S%, 67)V)))),4<@F$S#u|%;< 6 (6"2 t    cd."#"$""""&&, ,c , , , , , ,r#