.. 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 get_sync_debug_mode init ipc_collect is_available is_initialized memory_usage set_device set_stream set_sync_debug_mode stream synchronize utilization OutOfMemoryError
.. 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
.. autosummary:: :toctree: generated :nosignatures: comm.broadcast comm.broadcast_coalesced comm.reduce_add comm.scatter comm.gather
.. autosummary:: :toctree: generated :nosignatures: Stream ExternalStream Event
.. autosummary:: :toctree: generated :nosignatures: is_current_stream_capturing graph_pool_handle CUDAGraph graph make_graphed_callables
.. autosummary:: :toctree: generated :nosignatures: empty_cache list_gpu_processes mem_get_info 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 caching_allocator_alloc caching_allocator_delete get_allocator_backend CUDAPluggableAllocator change_current_allocator
.. autosummary:: :toctree: generated :nosignatures: nvtx.mark nvtx.range_push nvtx.range_pop
.. autosummary:: :toctree: generated :nosignatures: jiterator._create_jit_fn jiterator._create_multi_output_jit_fn
CUDA Sanitizer is a prototype tool for detecting synchronization errors between streams in PyTorch. See the :doc:`documentation <cuda._sanitizer>` for information on how to use it.
.. toctree:: :hidden: cuda._sanitizer