o Zh@sddlmZddlmZddlZddlmZddlmZmZm Z m Z gdZ dd ee e ejfd efd d Zd eefd dZ dded ee e ejfd dfddZdeed dfddZde d dfddZde d dfddZd ddZd ddZd e fddZdS)!)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_seedcudadevicereturncCsZtt|trt|}n t|trtd|}|j}|dur#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. rN) r isinstancestrtorchrintindexrrdefault_generatorsZ get_state)ridxdefault_generatorr@/var/www/auris/lib/python3.10/site-packages/torch/cuda/random.pyr s     r cCsddttD}|S)zQReturn a list of ByteTensor representing the random number states of all devices.cSsg|]}t|qSr)r ).0irrr 0sz%get_rng_state_all..)ranger )resultsrrrr .sr new_statecs~tj|jtjdWdn1swYttr'tn ttr2tdfdd}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). )Z memory_formatNrcs.j}|dur t}tjj|}|dSN)rrrrrZ set_staterrrZnew_state_copyrrcbEs  zset_rng_state..cb) rZ_CZ_DisableFuncTorchcloneZcontiguous_formatrrrrr)r%rr)rr(rr 4s      r new_statescCs t|D] \}}t||qdS)zSet the random number generator state of all devices. Args: new_states (Iterable of torch.ByteTensor): The desired state for each device. N) enumerater )r+r!staterrrr Os r rc$tfdd}t|dddS)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`. cs t}tjj|}|dSr&)rrrrrr'rrrr)hs zmanual_seed..cbTr/Nrrrr)rr/rrYs rcr.)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. cs*ttD] }tjj|}|qdSr&)r#r rrrr)r!rr/rrr){s  zmanual_seed_all..cbT)rNr0r1rr/rrps rcCdd}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`. cSst}tjj|}|dSr&)rrrrrr'rrrr)s  zseed..cbNrr)rrrrs cCr2)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. cSsLd}d}ttD]}tjj|}|s||}d}q ||q dS)NrFT)r#r rrrrrr)Z random_seedZseededr!rrrrr)s  zseed_all..cbNr3r4rrrrs rcCs tt}tjj|}|S)zyReturn the current random seed of the current GPU. .. warning:: This function eagerly initializes CUDA. )rrrrrrr'rrrrs r)r)rN)collections.abcrtypingrrrrrrr __all__rrrr listr r r rrrrrrrrrs,