class_docstr: Module that has a scope to capture vars/losses made by `get_variable`.
code: def __init__(self):
      self._var_store = (
          _EagerVariableStore()
      )  # pylint: disable=protected-access
      self._variables = {}
  
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 1 to create a new VariableAndLossTracker object from inherited base classes: module with example: obj = VariableAndLossTracker()