class_docstr: Keeps track of previous XLA scope calls, and depth of current call.
code: def __init__(self, count, depth):
      self.count = count
      self.depth = depth
  
file_path: tensorflow-upstream/tensorflow/python/compiler/xla/jit.py
imports: import contextlib
  from tensorflow.core.framework import attr_value_pb2
  from tensorflow.python.eager import context
  from tensorflow.python.framework import ops
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 1 to create a new _XlaScope object from inherited base classes: object with example: obj = _XlaScope(count, depth)