parameters: (serialized, features, name=None, example_names=None)
return_statement: return parsed
docstring: Parses a single `Example` proto.
  
    See tf.parse_single_example.
  
    Args:
      serialized: A scalar string Tensor or LabeledTensor, a single serialized
        Example.
      features: A `dict` mapping feature keys to `labeled_tensor.FixedLenFeature`
        values.
      name: A name for this operation (optional).
      example_names: (Optional) A scalar string Tensor, the associated name.
  
    Returns:
      A `dict` mapping feature keys to `LabeledTensor` values.
  
    Raises:
      ValueError: if any feature is invalid.
docstring_summary: Parses a single `Example` proto.
docstring_tokens: Parses a single Example proto .
function: def parse_single_example(serialized, features, name=None, example_names=None):
    """Parses a single `Example` proto.
  
    See tf.parse_single_example.
  
    Args:
      serialized: A scalar string Tensor or LabeledTensor, a single serialized
        Example.
      features: A `dict` mapping feature keys to `labeled_tensor.FixedLenFeature`
        values.
      name: A name for this operation (optional).
      example_names: (Optional) A scalar string Tensor, the associated name.
  
    Returns:
      A `dict` mapping feature keys to `LabeledTensor` values.
  
    Raises:
      ValueError: if any feature is invalid.
    """
    serialized = core.convert_to_labeled_tensor(serialized)
    unlabeled_features = _labeled_to_unlabeled_features(features)
  
    unlabeled_parsed = parsing_ops.parse_single_example(
        serialized.tensor, unlabeled_features, name, example_names)
  
    parsed = {}
    for name, parsed_feature in unlabeled_parsed.items():
      parsed[name] = core.LabeledTensor(parsed_feature, features[name].axes)
  
    return parsed
function_tokens: def parse_single_example ( serialized , features , name = None , example_names = None ) : serialized = core . convert_to_labeled_tensor ( serialized ) unlabeled_features = _labeled_to_unlabeled_features ( features ) unlabeled_parsed = parsing_ops . parse_single_example ( serialized . tensor , unlabeled_features , name , example_names ) parsed = { } for name , parsed_feature in unlabeled_parsed . items ( ) : parsed [ name ] = core . LabeledTensor ( parsed_feature , features [ name ] . axes ) return parsed