class_docstr: Module that has a scope to capture vars/losses made by `get_variable`.
code: def scope(self):
      with vs.variable_creator_scope(
          self._variable_creator
      ), vs.with_variable_store(self._var_store):
          yield
  
imports: import functools
  from tensorflow.python.eager import context
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.keras.engine import base_layer
  from tensorflow.python.keras.utils import tf_contextlib
  from tensorflow.python.keras.utils import tf_inspect
  from tensorflow.python.module import module
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.util import tf_decorator
label_desc: Use image node_id 3 for calling the VariableAndLossTracker obj's underlying member method code with example usage: obj.scope() without return types