class_docstr: 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.
docstr: Release the group lock for a specific group `group_id`.
code: 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.notify_all()
      self._ready.release()
  
file_path: tensorflow-upstream/tensorflow/python/util/lock_util.py
imports: import threading
label_desc: Use image node_id 4 for calling the GroupLock obj's underlying member method code with example usage: obj.release(group_id) without return types