51a0c5fbe8e236cdb7e58afce66d7639d8fe9a45,tensorflow_transform/coders/example_proto_coder.py,_FixedLenFeatureHandler,__init__,#_FixedLenFeatureHandler#Any#Any#,122

Before Change

    self._value_fn = _make_feature_value_fn(feature_spec.dtype)
    self._shape = feature_spec.shape
    self._rank = len(feature_spec.shape)
    if self._rank > 0 and self._default_value:
      raise ValueError("FixedLenFeature %r got default value for rank > 0, "
                       "only scalar default values are supported"
                       % (self._name,))
    if isinstance(self._default_value, list):
      raise ValueError("FixedLenFeature %r got non-scalar default value, "
                       "only scalar default values are supported" %
                       (self._name,))

After Change

    for dim in feature_spec.shape:
      self._size *= dim
    self._default_value = feature_spec.default_value
    if self._default_value:
      if list(np.asarray(self._default_value).shape) != self._shape:
        raise ValueError(
            "FixedLenFeature %r got default value with incorrect shape" %
            (self._name,))
      self._default_value = np.asarray(self._default_value).reshape(-1).tolist()

  @property
  def name(self):
    The name of the feature.
    return self._name

Instances