Aliases in torch.cuda

Created On: Sep 21, 2025 | Last Updated On: Sep 21, 2025

The following are aliases to their counterparts in torch.cuda in the nested namespaces in which they are defined. For any of these APIs, feel free to use the top-level version in torch.cuda like torch.cuda.seed or the nested version torch.cuda.random.seed.

get_rng_state	Return the random number generator state of the specified GPU as a ByteTensor.
get_rng_state_all	Return a list of ByteTensor representing the random number states of all devices.
set_rng_state	Set the random number generator state of the specified GPU.
set_rng_state_all	Set the random number generator state of all devices.
manual_seed	Set the seed for generating random numbers for the current GPU.
manual_seed_all	Set the seed for generating random numbers on all GPUs.
seed	Set the seed for generating random numbers to a random number for the current GPU.
seed_all	Set the seed for generating random numbers to a random number on all GPUs.
initial_seed	Return the current random seed of the current GPU.

is_current_stream_capturing	Return True if CUDA graph capture is underway on the current CUDA stream, False otherwise.
graph_pool_handle	Return an opaque token representing the id of a graph memory pool.
CUDAGraph	Wrapper around a CUDA graph.
graph	Context-manager that captures CUDA work into a torch.cuda.CUDAGraph object for later replay.
make_graphed_callables	Accept callables (functions or nn.Modules) and returns graphed versions.

Stream	Wrapper around a CUDA stream.
ExternalStream	Wrapper around an externally allocated CUDA stream.
Event	Wrapper around a CUDA event.