tensorflow/models · error · ValueError

Unknown value_type parameter - {}

Error message

Unknown value_type parameter - {}

What it means

Error "Unknown value_type parameter - {}" thrown in tensorflow/models.

Source

Thrown at official/vision/data/tfrecord_lib.py:86

  elif value_type == 'int64_list':
    value = np.asarray(value).astype(np.int64).reshape(-1)
    return tf.train.Feature(int64_list=tf.train.Int64List(value=value))

  elif value_type == 'float':
    return tf.train.Feature(float_list=tf.train.FloatList(value=[value]))

  elif value_type == 'float_list':
    value = np.asarray(value).astype(np.float32).reshape(-1)
    return tf.train.Feature(float_list=tf.train.FloatList(value=value))

  elif value_type == 'bytes':
    return tf.train.Feature(bytes_list=tf.train.BytesList(value=[value]))

  elif value_type == 'bytes_list':
    return tf.train.Feature(bytes_list=tf.train.BytesList(value=value))

  else:
    raise ValueError('Unknown value_type parameter - {}'.format(value_type))


def image_info_to_feature_dict(height, width, filename, image_id,
                               encoded_str, encoded_format):
  """Convert image information to a dict of features."""

  key = hashlib.sha256(encoded_str).hexdigest()

  return {
      'image/height': convert_to_feature(height),
      'image/width': convert_to_feature(width),
      'image/filename': convert_to_feature(filename.encode('utf8')),
      'image/source_id': convert_to_feature(str(image_id).encode('utf8')),
      'image/key/sha256': convert_to_feature(key.encode('utf8')),
      'image/encoded': convert_to_feature(encoded_str),
      'image/format': convert_to_feature(encoded_format.encode('utf8')),
  }

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/vision/data/tfrecord_lib.py:86 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of tensorflow/models@e006f5f0d5 (2026-08-24). Data as JSON: /api/errors/384c7e4482511ba9. Report an issue: GitHub.