parameters: (update_ops)
docstring: Gets the eval step `Tensor` value after running `update_ops`.
  
    Args:
      update_ops: A list of `Tensors` or a dictionary of names to `Tensors`, which
        are run before reading the eval step value.
  
    Returns:
      A `Tensor` representing the value for the evaluation step.
docstring_summary: Gets the eval step `Tensor` value after running `update_ops`.
docstring_tokens: Gets the eval step Tensor value after running update_ops .
function: def _get_latest_eval_step_value(update_ops):
    """Gets the eval step `Tensor` value after running `update_ops`.
  
    Args:
      update_ops: A list of `Tensors` or a dictionary of names to `Tensors`, which
        are run before reading the eval step value.
  
    Returns:
      A `Tensor` representing the value for the evaluation step.
    """
    if isinstance(update_ops, dict):
      update_ops = list(update_ops.values())
  
    with ops.control_dependencies(update_ops):
      return array_ops.identity(_get_or_create_eval_step().read_value())
function_tokens: def _get_latest_eval_step_value ( update_ops ) : if isinstance ( update_ops , dict ) : update_ops = list ( update_ops . values ( ) ) with ops . control_dependencies ( update_ops ) : return array_ops . identity ( _get_or_create_eval_step ( ) . read_value ( ) )