a hA@sddlmZddlmZddlZddlmZddlmZmZm Z m Z m Z gdZ d ee eejfed d d Zeed d dZd!eee eejfddddZeeddddZe ddddZe ddddZdd ddZdd ddZe d ddZdS)")Iterable)UnionN)Tensor) _lazy_call _lazy_initcurrent_device device_countis_initialized) get_rng_stateget_rng_state_all set_rng_stateset_rng_state_all manual_seedmanual_seed_allseedseed_all initial_seedcuda)devicereturncCsZtt|trt|}nt|tr2td|}|j}|durFt}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/python3.9/site-packages/torch/cuda/random.pyr s      r )rcCsddttD}|S)zQReturn a list of ByteTensor representing the random number states of all devices.cSsg|] }t|qSr)r ).0irrr 0z%get_rng_state_all..)ranger )resultsrrr r .sr ) new_staterrcsts>tjjtjdWdn1s40YttrTtntt rjtdfdd}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}|durt}tjj|}|dSN)rrrrrZ set_staterrrr'rr cbHs  zset_rng_state..cb) r rZ_CZ_DisableFuncTorchcloneZcontiguous_formatrrrrr)r'rr+rr*r r 4s  ,    r ) new_statesrcCs 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"staterrr rRsr)rrcs$tfdd}t|dddS)aSet the seed for generating random numbers for the current GPU. It's safe to call this function if CUDA is not available; in that case, it is silently ignored. Args: seed (int): The desired seed. .. warning:: If you are working with a multi-GPU model, this function is insufficient to get determinism. To seed all GPUs, use :func:`manual_seed_all`. cs t}tjj|}|dSr()rrrrrr)rrr r+ks zmanual_seed..cbTr0Nrrrr+rr0r r\s  rcs$tfdd}t|dddS)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|}|q dSr()r%r rrrr)r"rr0rr r+~s zmanual_seed_all..cbT)rNr1r2rr0r rss  rcCsdd}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)rrr r+s zseed..cbNrr+rrr rs rcCsdd}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. cSsLd}d}ttD]4}tjj|}|s<||}d}q||qdS)NrFT)r%r rrrrrr)Z random_seedZseededr"rrrr r+s zseed_all..cbNr3r4rrr rs rcCs tt}tjj|}|S)zyReturn the current random seed of the current GPU. .. warning:: This function eagerly initializes CUDA. )rrrrrrr)rrr rs r)r)r)collections.abcrtypingrrrrrrr r __all__rrrr listr r rrrrrrrrrr s$