blob: 4f8fb54fe27b91116bb9bab4485732ffd7aeb7b6 [file] [log] [blame]
torch.cuda
===================================
.. automodule:: torch.cuda
.. currentmodule:: torch.cuda
.. autosummary::
:toctree: generated
:nosignatures:
StreamContext
can_device_access_peer
current_blas_handle
current_device
current_stream
default_stream
device
device_count
device_of
get_arch_list
get_device_capability
get_device_name
get_device_properties
get_gencode_flags
init
ipc_collect
is_available
is_initialized
set_device
set_stream
stream
synchronize
Random Number Generator
-------------------------
.. autosummary::
:toctree: generated
:nosignatures:
get_rng_state
get_rng_state_all
set_rng_state
set_rng_state_all
manual_seed
manual_seed_all
seed
seed_all
initial_seed
Communication collectives
-------------------------
.. autosummary::
:toctree: generated
:nosignatures:
comm.broadcast
comm.broadcast_coalesced
comm.reduce_add
comm.scatter
comm.gather
Streams and events
------------------
.. autosummary::
:toctree: generated
:nosignatures:
Stream
Event
Memory management
-----------------
.. autosummary::
:toctree: generated
:nosignatures:
empty_cache
list_gpu_processes
memory_stats
memory_summary
memory_snapshot
memory_allocated
max_memory_allocated
reset_max_memory_allocated
memory_reserved
max_memory_reserved
set_per_process_memory_fraction
memory_cached
max_memory_cached
reset_max_memory_cached
reset_peak_memory_stats
.. FIXME The following doesn't seem to exist. Is it supposed to?
https://github.com/pytorch/pytorch/issues/27785
.. autofunction:: reset_max_memory_reserved
NVIDIA Tools Extension (NVTX)
-----------------------------
.. autosummary::
:toctree: generated
:nosignatures:
nvtx.mark
nvtx.range_push
nvtx.range_pop