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Version:
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#!/usr/bin/env python3
# mypy: allow-untyped-defs
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from datetime import timedelta
from typing import List
from contextlib import contextmanager
_NUM_MEMBERS = "/num_members"
_LAST_MEMBER_CHECKIN = "/last_member"
__all__ = ["store_timeout", "get_all", "synchronize", "barrier"]
@contextmanager
def store_timeout(store, timeout: float):
"""
This sets the timeout and then restores the old timeout when the context
manager exits.
Args:
store: the store to set the timeout on
timeout: the timeout to set
"""
old_timeout = store.timeout
store.set_timeout(timedelta(seconds=timeout))
yield
store.set_timeout(old_timeout)
def get_all(store, rank: int, prefix: str, world_size: int):
r"""
Given a store and a prefix, the method goes through the array of keys
of the following format: ``{prefix}{idx}``, where idx is in a range
from 0 to size, and tries to retrieve the data.
The Rank0 process waits at the end to make sure all other processes
finished the procedure before exiting.
Usage
::
values = get_all(store, 'torchelastic/data', 3)
value1 = values[0] # retrieves the data for key torchelastic/data0
value2 = values[1] # retrieves the data for key torchelastic/data1
value3 = values[2] # retrieves the data for key torchelastic/data2
"""
data_arr = store.multi_get(
[f"{prefix}{idx}" for idx in range(world_size)]
)
barrier_key = _barrier_nonblocking(
store=store,
world_size=world_size,
key_prefix=f"{prefix}/finished",
)
if rank == 0:
# Rank0 runs the TCPStore daemon, as a result it needs to exit last.
# Otherwise, the barrier may timeout if rank0 process finished the work
# before other processes finished `get_all` method
store.get(barrier_key)
return data_arr
def synchronize(
store,
data: bytes,
rank: int,
world_size: int,
key_prefix: str,
timeout: float = 300,
) -> List[bytes]:
"""
Synchronizes ``world_size`` agents between each other using the underlying c10d store.
The ``data`` will be available on each of the agents.
Note: The data on the path is not deleted, as a result there can be stale data if
you use the same key_prefix twice.
Time complexity: O(N) per worker, O(N^2) globally.
"""
with store_timeout(store, timeout):
store.set(f"{key_prefix}{rank}", data)
agent_data = get_all(store, rank, key_prefix, world_size)
return agent_data
def _barrier_nonblocking(store, world_size: int, key_prefix: str) -> str:
"""
Does all the non-blocking operations for a barrier and returns the final key
that can be waited on.
"""
num_members_key = key_prefix + _NUM_MEMBERS
last_member_key = key_prefix + _LAST_MEMBER_CHECKIN
idx = store.add(num_members_key, 1)
if idx == world_size:
store.set(last_member_key, "<val_ignored>")
return last_member_key
def barrier(
store, world_size: int, key_prefix: str, barrier_timeout: float = 300
) -> None:
"""
A global lock between agents. This will pause all workers until at least
``world_size`` workers respond.
This uses a fast incrementing index to assign waiting ranks and a success
flag set by the last worker.
Time complexity: O(1) per worker, O(N) globally.
Note: Since the data is not removed from the store, the barrier can be used
once per unique ``key_prefix``.
"""
with store_timeout(store, barrier_timeout):
last_member_key = _barrier_nonblocking(store=store, world_size=world_size, key_prefix=key_prefix)
store.get(last_member_key)