o !i@sddlmZmZmZddlZddlmZddlmZmZm 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)!)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_seedcudadevicereturncCsZtt|trt|}n t|trtd|}|j}|dur#t}tjj |}| S)aSReturns 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 isinstancestrtorchrintindexr rdefault_generatorsZ get_state)ridxdefault_generatorr `/var/www/html/eduruby.in/lip-sync/lip-sync-env/lib/python3.10/site-packages/torch/cuda/random.pyr s     r cCs&g}ttD] }|t|q|S)zRReturns a list of ByteTensor representing the random number states of all devices.)ranger appendr )resultsir r r!r *sr new_statecs~tj|jtjdWdn1swYttr'tn ttr2tdfdd}t |dS)a0Sets 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)rr rrrZ set_staterrrZnew_state_copyr r!cbDs  zset_rng_state..cb) rZ_CZ_DisableFuncTorchcloneZcontiguous_formatrrrrr)r&rr*r r)r!r3s      r new_statescCs t|D] \}}t||qdS)zSets the random number generator state of all devices. Args: new_states (Iterable of torch.ByteTensor): The desired state for each deviceN) enumerater)r,r%stater r r!rNs rrc$tfdd}t|dddS)aSets 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')r rrrrr(rr r!r*es zmanual_seed..cbTr0Nrrrr*r r0r!rWs rcr/)zSets 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%rr0r r!r*ws  zmanual_seed_all..cbT)rNr1r2r r0r!rms rcCdd}t|dS)atSets 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')r rrrrr(r r r!r*s  zseed..cbNrr*r r r!rs cCr3)zSets 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%rr r r!r*s  zseed_all..cbNr4r5r r r!rs rcCs tt}tjj|}|S)zzReturns the current random seed of the current GPU. .. warning:: This function eagerly initializes CUDA. )r r rrrrr(r r r!rs r)r)rN)typingrrrrrrr r r __all__rrrr r rrrrrrrr r r r!s*