(val=None)
return _append_value
Appends values provided in 'val` to inputs.

  val are keyed by example keys, its values contain appended tensors.

  Args:
    val: dict of int to tensors. Specific keys get the tensors specified in
      values appended.
  Returns:
    Funtion to append tensors to examples.
Appends values provided in 'val` to inputs.
Appends values provided in val to inputs .
def AppendValue(val=None):  # pylint: disable=invalid-name
  """Appends values provided in 'val` to inputs.

  val are keyed by example keys, its values contain appended tensors.

  Args:
    val: dict of int to tensors. Specific keys get the tensors specified in
      values appended.
  Returns:
    Funtion to append tensors to examples.
  """
  @debug_data_pipeline.debug_pipeline
  def _append_value(generator):
    for example in generator:
      if isinstance(example, tuple):
        example = list(example)
        if val is not None:
          for key, value in val.items():
            example[key] = np.append(example[key], value, -1)
        output = tuple(example)
      else:
        if not isinstance(example, np.ndarray):
          raise ValueError(f'example isn\'t nparray, but should be: {example}')
        output = np.append(example, val[0])
      yield output

  return _append_value
def AppendValue ( val = None ) : # pylint: disable=invalid-name @ debug_data_pipeline . debug_pipeline def _append_value ( generator ) : for example in generator : if isinstance ( example , tuple ) : example = list ( example ) if val is not None : for key , value in val . items ( ) : example [ key ] = np . append ( example [ key ] , value , - 1 ) output = tuple ( example ) else : if not isinstance ( example , np . ndarray ) : raise ValueError ( f'example isn\'t nparray, but should be: {example}' ) output = np . append ( example , val [ 0 ] ) yield output return _append_value