parameters: (self)
return_statement: return _default_graph_stack.get_controller(self)
docstring: Returns a context manager that makes this `Graph` the default graph.
  
      This method should be used if you want to create multiple graphs
      in the same process. For convenience, a global default graph is
      provided, and all ops will be added to this graph if you do not
      create a new graph explicitly. Use this method with the `with` keyword
      to specify that ops created within the scope of a block should be
      added to this graph.
  
      The default graph is a property of the current thread. If you
      create a new thread, and wish to use the default graph in that
      thread, you must explicitly add a `with g.as_default():` in that
      thread's function.
  
      The following code examples are equivalent:
  
      ```python
      # 1. Using Graph.as_default():
      g = tf.Graph()
      with g.as_default():
        c = tf.constant(5.0)
        assert c.graph is g
  
      # 2. Constructing and making default:
      with tf.Graph().as_default() as g:
        c = tf.constant(5.0)
        assert c.graph is g
      ```
  
      Returns:
        A context manager for using this graph as the default graph.
docstring_summary: Returns a context manager that makes this `Graph` the default graph.
docstring_tokens: Returns a context manager that makes this Graph the default graph .
function: def as_default(self):
      """Returns a context manager that makes this `Graph` the default graph.
  
      This method should be used if you want to create multiple graphs
      in the same process. For convenience, a global default graph is
      provided, and all ops will be added to this graph if you do not
      create a new graph explicitly. Use this method with the `with` keyword
      to specify that ops created within the scope of a block should be
      added to this graph.
  
      The default graph is a property of the current thread. If you
      create a new thread, and wish to use the default graph in that
      thread, you must explicitly add a `with g.as_default():` in that
      thread's function.
  
      The following code examples are equivalent:
  
      ```python
      # 1. Using Graph.as_default():
      g = tf.Graph()
      with g.as_default():
        c = tf.constant(5.0)
        assert c.graph is g
  
      # 2. Constructing and making default:
      with tf.Graph().as_default() as g:
        c = tf.constant(5.0)
        assert c.graph is g
      ```
  
      Returns:
        A context manager for using this graph as the default graph.
      """
      return _default_graph_stack.get_controller(self)
function_tokens: def as_default ( self ) : return _default_graph_stack . get_controller ( self )