Attention
The vector search and clustering algorithms in RAFT are being migrated to a new library dedicated to vector search called cuVS. We will continue to support the vector search algorithms in RAFT during this move, but will no longer update them after the RAPIDS 24.06 (June) release. We plan to complete the migration by RAPIDS 24.08 (August) release.
RAFT Dask API#
Dask-based Multi-Node Multi-GPU Communicator#
- class raft_dask.common.Comms(comms_p2p=False, client=None, verbose=False, streams_per_handle=0, nccl_root_location='scheduler')[source]#
Initializes and manages underlying NCCL and UCX comms handles across the workers of a Dask cluster. It is expected that
init()
will be called explicitly. It is recommended to also calldestroy()
when the comms are no longer needed so the underlying resources can be cleaned up. This class is not meant to be thread-safe.Examples
# The following code block assumes we have wrapped a C++ # function in a Python function called `run_algorithm`, # which takes a `raft::handle_t` as a single argument. # Once the `Comms` instance is successfully initialized, # the underlying `raft::handle_t` will contain an instance # of `raft::comms::comms_t` from dask_cuda import LocalCUDACluster from dask.distributed import Client from raft.dask.common import Comms, local_handle cluster = LocalCUDACluster() client = Client(cluster) def _use_comms(sessionId): return run_algorithm(local_handle(sessionId)) comms = Comms(client=client) comms.init() futures = [client.submit(_use_comms, comms.sessionId, workers=[w], pure=False) # Don't memoize for w in cb.worker_addresses] wait(dfs, timeout=5) comms.destroy() client.close() cluster.close()
Methods
destroy
()Shuts down initialized comms and cleans up resources.
init
([workers])Initializes the underlying comms.
worker_info
(workers)Builds a dictionary of { (worker_address, worker_port) :
create_nccl_uniqueid
- destroy()[source]#
Shuts down initialized comms and cleans up resources. This will be called automatically by the Comms destructor, but may be called earlier to save resources.