o h@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_generators get_state)ridxdefault_generatorre/var/www/html/construction_image-detection-poc/venv/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 )resultsrrr r .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). ) memory_formatNrcs.j}|dur t}tjj|}|dSN)rrrrr set_staterrrnew_state_copyrr cbEs  zset_rng_state..cb) r_C_DisableFuncTorchclonecontiguous_formatrrrrr)r&rr-rr+r r 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 )r2r"staterrr r Os r rc$tfdd}t|dddS)aSet the seed for generating random numbers for the current GPU. It's safe to call this function if CUDA is not available; in that case, it is silently ignored. Args: seed (int): The desired seed. .. warning:: If you are working with a multi-GPU model, this function is insufficient to get determinism. To seed all GPUs, use :func:`manual_seed_all`. cs t}tjj|}|dSr()rrrrrr*rrr r-hs zmanual_seed..cbTr6Nrrrr-rr6r rYs rcr5)zSet the seed for generating random numbers on all GPUs. It's safe to call this function if CUDA is not available; in that case, it is silently ignored. Args: seed (int): The desired seed. cs*ttD] }tjj|}|qdSr()r$r rrrr)r"rr6rr r-{s  zmanual_seed_all..cbT)rNr7r8rr6r rps 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*rrr r-s  zseed..cbNrr-rrr rs cCr9)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) random_seedseededr"rrrr r-s  zseed_all..cbNr:r;rrr 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)rN)collections.abcrtypingrrrrrrr __all__rrrr listr r r rrrrrrrrr s,