parameters: ()
return_statement: return _DEFAULT_USE_RESOURCE
docstring: Returns `True` if resource variables are enabled.
  
    Resource variables are improved versions of TensorFlow variables with a
    well-defined memory model. Accessing a resource variable reads its value, and
    all ops which access a specific read value of the variable are guaranteed to
    see the same value for that tensor. Writes which happen after a read (by
    having a control or data dependency on the read) are guaranteed not to affect
    the value of the read tensor, and similarly writes which happen before a read
    are guaranteed to affect the value. No guarantees are made about unordered
    read/write pairs.
  
    Calling tf.enable_resource_variables() lets you opt-in to this TensorFlow 2.0
    feature.
docstring_summary: Returns `True` if resource variables are enabled.
docstring_tokens: Returns True if resource variables are enabled .
function: def resource_variables_enabled():
    """Returns `True` if resource variables are enabled.
  
    Resource variables are improved versions of TensorFlow variables with a
    well-defined memory model. Accessing a resource variable reads its value, and
    all ops which access a specific read value of the variable are guaranteed to
    see the same value for that tensor. Writes which happen after a read (by
    having a control or data dependency on the read) are guaranteed not to affect
    the value of the read tensor, and similarly writes which happen before a read
    are guaranteed to affect the value. No guarantees are made about unordered
    read/write pairs.
  
    Calling tf.enable_resource_variables() lets you opt-in to this TensorFlow 2.0
    feature.
    """
    global _DEFAULT_USE_RESOURCE
    return _DEFAULT_USE_RESOURCE
function_tokens: def resource_variables_enabled ( ) : global _DEFAULT_USE_RESOURCE return _DEFAULT_USE_RESOURCE