# Copyright 2018 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Locking related utils.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import threading class GroupLock(object): """A lock to allow many members of a group to access a resource exclusively. This lock provides a way to allow access to a resource by multiple threads belonging to a logical group at the same time, while restricting access to threads from all other groups. You can think of this as an extension of a reader-writer lock, where you allow multiple writers at the same time. We made it generic to support multiple groups instead of just two - readers and writers. Simple usage example with two groups accessing the same resource: ```python lock = GroupLock(num_groups=2) # In a member of group 0: with lock.group(0): # do stuff, access the resource # ... # In a member of group 1: with lock.group(1): # do stuff, access the resource # ... ``` Using as a context manager with `.group(group_id)` is the easiest way. You can also use the `acquire` and `release` method directly. """ def __init__(self, num_groups=2): """Initialize a group lock. Args: num_groups: The number of groups that will be accessing the resource under consideration. Should be a positive number. Returns: A group lock that can then be used to synchronize code. Raises: ValueError: If num_groups is less than 1. """ if num_groups < 1: raise ValueError("num_groups must be a positive integer, got {}".format( num_groups)) self._ready = threading.Condition(threading.Lock()) self._num_groups = num_groups self._group_member_counts = [0] * self._num_groups def group(self, group_id): """Enter a context where the lock is with group `group_id`. Args: group_id: The group for which to acquire and release the lock. Returns: A context manager which will acquire the lock for `group_id`. """ self._validate_group_id(group_id) return self._Context(self, group_id) def acquire(self, group_id): """Acquire the group lock for a specific group `group_id`.""" self._validate_group_id(group_id) self._ready.acquire() while self._another_group_active(group_id): self._ready.wait() self._group_member_counts[group_id] += 1 self._ready.release() def release(self, group_id): """Release the group lock for a specific group `group_id`.""" self._validate_group_id(group_id) self._ready.acquire() self._group_member_counts[group_id] -= 1 if self._group_member_counts[group_id] == 0: self._ready.notifyAll() self._ready.release() def _another_group_active(self, group_id): return any( c > 0 for g, c in enumerate(self._group_member_counts) if g != group_id) def _validate_group_id(self, group_id): if group_id < 0 or group_id >= self._num_groups: raise ValueError( "group_id={} should be between 0 and num_groups={}".format( group_id, self._num_groups)) class _Context(object): """Context manager helper for `GroupLock`.""" def __init__(self, lock, group_id): self._lock = lock self._group_id = group_id def __enter__(self): self._lock.acquire(self._group_id) def __exit__(self, type_arg, value_arg, traceback_arg): del type_arg, value_arg, traceback_arg self._lock.release(self._group_id)