aws_lambda/pytorch/source/torch/cuda/random.py
def seed():
    r"""Sets 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`.
    """
    _lazy_call(lambda: _C._cuda_seed())
r"""Sets 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`.
    
r"""Sets 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.

:
If you are working with a multi-GPU model, this function will only initialize
the seed on one GPU.
r " " " Sets 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 . : If you are working with a multi - GPU model this function will only initialize the seed on one GPU .
def seed():
    _lazy_call(lambda: _C._cuda_seed())
def seed ( ) : _lazy_call ( lambda : _C . _cuda_seed ( ) )
r"""Sets the seed for generating random numbers to a random number for the current GPU.
r " " " Sets the seed for generating random numbers to a random number for the current GPU .
r"""Sets 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`.
    """