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250 lines
11 KiB
Python
250 lines
11 KiB
Python
# Copyright 2021 The JAX Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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from collections.abc import Sequence
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import logging
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import os
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from typing import Any
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from jax._src import clusters
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from jax._src import config
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from jax._src import xla_bridge
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from jax._src.lib import xla_extension
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logger = logging.getLogger(__name__)
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class State:
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process_id: int = 0
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num_processes: int = 1
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service: Any | None = None
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client: Any | None = None
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preemption_sync_manager: Any | None = None
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coordinator_address: str | None = None
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def initialize(self,
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coordinator_address: str | None = None,
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num_processes: int | None = None,
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process_id: int | None = None,
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local_device_ids: int | Sequence[int] | None = None,
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cluster_detection_method: str | None = None,
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initialization_timeout: int = 300,
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coordinator_bind_address: str | None = None,
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service_heartbeat_interval_seconds: int = 10,
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service_max_missing_heartbeats: int = 10,
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client_heartbeat_interval_seconds: int = 10,
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client_max_missing_heartbeats: int = 10):
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coordinator_address = (coordinator_address or
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os.environ.get('JAX_COORDINATOR_ADDRESS'))
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if isinstance(local_device_ids, int):
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local_device_ids = [local_device_ids]
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if local_device_ids is None and (env_ids := os.environ.get('JAX_LOCAL_DEVICE_IDS')):
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local_device_ids = list(map(int, env_ids.split(",")))
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(coordinator_address, num_processes, process_id, local_device_ids) = (
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clusters.ClusterEnv.auto_detect_unset_distributed_params(
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coordinator_address,
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num_processes,
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process_id,
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local_device_ids,
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cluster_detection_method,
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initialization_timeout,
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)
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)
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if coordinator_address is None:
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raise ValueError('coordinator_address should be defined.')
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if num_processes is None:
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raise ValueError('Number of processes must be defined.')
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if process_id is None:
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raise ValueError('The process id of the current process must be defined.')
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self.coordinator_address = coordinator_address
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# The default value of [::]:port tells the coordinator to bind to all
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# available addresses on the same port as coordinator_address.
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default_coordinator_bind_address = '[::]:' + coordinator_address.rsplit(':', 1)[1]
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coordinator_bind_address = (coordinator_bind_address or
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os.environ.get('JAX_COORDINATOR_BIND_ADDRESS',
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default_coordinator_bind_address))
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if coordinator_bind_address is None:
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raise ValueError('coordinator_bind_address should be defined.')
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if local_device_ids:
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visible_devices = ','.join(str(x) for x in local_device_ids)
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logger.info('JAX distributed initialized with visible devices: %s', visible_devices)
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config.update("jax_cuda_visible_devices", visible_devices)
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config.update("jax_rocm_visible_devices", visible_devices)
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self.process_id = process_id
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# Emit a warning about PROXY variables if they are in the user's env:
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proxy_vars = [ key for key in os.environ.keys() if '_proxy' in key.lower()]
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if len(proxy_vars) > 0:
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vars = " ".join(proxy_vars) + ". "
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warning = (
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f'JAX detected proxy variable(s) in the environment as distributed setup: {vars}'
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'On some systems, this may cause a hang of distributed.initialize and '
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'you may need to unset these ENV variable(s)'
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)
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logger.warning(warning)
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if process_id == 0:
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if self.service is not None:
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raise RuntimeError('distributed.initialize should only be called once.')
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logger.info(
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'Starting JAX distributed service on %s', coordinator_bind_address
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)
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self.service = xla_extension.get_distributed_runtime_service(
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coordinator_bind_address, num_processes,
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heartbeat_interval=service_heartbeat_interval_seconds,
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max_missing_heartbeats=service_max_missing_heartbeats)
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self.num_processes = num_processes
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if self.client is not None:
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raise RuntimeError('distributed.initialize should only be called once.')
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self.client = xla_extension.get_distributed_runtime_client(
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coordinator_address, process_id, init_timeout=initialization_timeout,
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heartbeat_interval=client_heartbeat_interval_seconds,
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max_missing_heartbeats=client_max_missing_heartbeats, use_compression=True)
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logger.info('Connecting to JAX distributed service on %s', coordinator_address)
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self.client.connect()
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self.initialize_preemption_sync_manager()
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def shutdown(self):
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if self.client:
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self.client.shutdown()
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self.client = None
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if self.service:
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self.service.shutdown()
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self.service = None
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if self.preemption_sync_manager:
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self.preemption_sync_manager = None
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def initialize_preemption_sync_manager(self):
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if self.preemption_sync_manager is not None:
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raise RuntimeError(
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'Preemption sync manager should only be initialized once.')
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self.preemption_sync_manager = (
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xla_extension.create_preemption_sync_manager())
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self.preemption_sync_manager.initialize(self.client)
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global_state = State()
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def initialize(coordinator_address: str | None = None,
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num_processes: int | None = None,
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process_id: int | None = None,
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local_device_ids: int | Sequence[int] | None = None,
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cluster_detection_method: str | None = None,
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initialization_timeout: int = 300,
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coordinator_bind_address: str | None = None):
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"""Initializes the JAX distributed system.
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Calling :func:`~jax.distributed.initialize` prepares JAX for execution on
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multi-host GPU and Cloud TPU. :func:`~jax.distributed.initialize` must be
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called before performing any JAX computations.
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The JAX distributed system serves a number of roles:
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* It allows JAX processes to discover each other and share topology information,
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* It performs health checking, ensuring that all processes shut down if any process dies, and
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* It is used for distributed checkpointing.
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If you are using TPU, Slurm, or Open MPI, all arguments are optional: if omitted, they
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will be chosen automatically.
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The ``cluster_detection_method`` may be used to choose a specific method for detecting those
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distributed arguments. You may pass any of the automatic ``spec_detect_methods`` to this
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argument though it is not necessary in the TPU, Slurm, or Open MPI cases. For other MPI
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installations, if you have a functional ``mpi4py`` installed, you may pass
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``cluster_detection_method="mpi4py"`` to bootstrap the required arguments.
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Otherwise, you must provide the ``coordinator_address``,
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``num_processes``, and ``process_id`` arguments to :func:`~jax.distributed.initialize`.
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Please note: on some systems, particularly HPC clusters that only access external networks
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through proxy variables such as HTTP_PROXY, HTTPS_PROXY, etc., the call to
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:func:`~jax.distributed.initialize` may timeout. You may need to unset these variables
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prior to application launch.
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Args:
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coordinator_address: the IP address of process `0` and a port on which that
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process should launch a coordinator service. The choice of
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port does not matter, so long as the port is available on the coordinator
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and all processes agree on the port.
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May be ``None`` only on supported environments, in which case it will be chosen automatically.
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Note that special addresses like ``localhost`` or ``127.0.0.1`` usually mean that the program
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will bind to a local interface and are not suitable when running in a multi-host environment.
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num_processes: Number of processes. May be ``None`` only on supported environments, in
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which case it will be chosen automatically.
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process_id: The ID number of the current process. The ``process_id`` values across
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the cluster must be a dense range ``0``, ``1``, ..., ``num_processes - 1``.
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May be ``None`` only on supported environments; if ``None`` it will be chosen automatically.
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local_device_ids: Restricts the visible devices of the current process to ``local_device_ids``.
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If ``None``, defaults to all local devices being visible to the process except when processes
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are launched via Slurm and Open MPI on GPUs. In that case, it will default to a single device per process.
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cluster_detection_method: An optional string to attempt to autodetect the configuration of the distributed
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run. Note that "mpi4py" method requires you to have a working ``mpi4py`` install in your environment,
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and launch the applicatoin with an MPI-compatible job launcher such as ``mpiexec`` or ``mpirun``.
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Legacy auto-detect options (OMPI, Slurm) remain enabled.
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initialization_timeout: Time period (in seconds) for which connection will
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be retried. If the initialization takes more than the timeout specified,
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the initialization will error. Defaults to 300 secs i.e. 5 mins.
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coordinator_bind_address: the address and port to which the coordinator service
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on process `0` should bind. If this is not specified, the default is to bind to
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all available addresses on the same port as ``coordinator_address``. On systems
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that have multiple network interfaces per node it may be insufficient to only
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have the coordinator service listen on one address/interface.
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Raises:
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RuntimeError: If :func:`~jax.distributed.initialize` is called more than once
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or if called after the backend is already initialized.
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Examples:
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Suppose there are two GPU processes, and process 0 is the designated coordinator
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with address ``10.0.0.1:1234``. To initialize the GPU cluster, run the
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following commands before anything else.
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On process 0:
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>>> jax.distributed.initialize(coordinator_address='10.0.0.1:1234', num_processes=2, process_id=0) # doctest: +SKIP
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On process 1:
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>>> jax.distributed.initialize(coordinator_address='10.0.0.1:1234', num_processes=2, process_id=1) # doctest: +SKIP
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"""
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if xla_bridge.backends_are_initialized():
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raise RuntimeError("jax.distributed.initialize() must be called before "
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"any JAX computations are executed.")
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global_state.initialize(coordinator_address, num_processes, process_id,
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local_device_ids, cluster_detection_method,
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initialization_timeout, coordinator_bind_address)
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def shutdown():
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"""Shuts down the distributed system.
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Does nothing if the distributed system is not running.
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"""
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global_state.shutdown()
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