tensorflow/models · error · ValueError

dtype {!r} is not supported!

Error message

dtype {!r} is not supported!

What it means

Error "dtype {!r} is not supported!" thrown in tensorflow/models.

Source

Thrown at official/projects/simclr/dataloaders/simclr_input.py:143

    self._aug_rand_hflip = aug_rand_hflip
    self._aug_color_distort = aug_color_distort
    self._aug_color_jitter_strength = aug_color_jitter_strength
    self._aug_color_jitter_impl = aug_color_jitter_impl
    self._aug_rand_blur = aug_rand_blur
    self._parse_label = parse_label
    self._mode = mode
    self._test_crop = test_crop
    if max(self._output_size[0], self._output_size[1]) <= 32:
      self._test_crop = False

    if dtype == 'float32':
      self._dtype = tf.float32
    elif dtype == 'float16':
      self._dtype = tf.float16
    elif dtype == 'bfloat16':
      self._dtype = tf.bfloat16
    else:
      raise ValueError('dtype {!r} is not supported!'.format(dtype))

  def _parse_one_train_image(self, image_bytes):

    image = tf.image.decode_jpeg(image_bytes, channels=3)
    # This line convert the image to float 0.0 - 1.0
    image = tf.image.convert_image_dtype(image, dtype=tf.float32)

    if self._aug_rand_crop:
      image = simclr_preprocess_ops.random_crop_with_resize(
          image, self._output_size[0], self._output_size[1])

    if self._aug_rand_hflip:
      image = tf.image.random_flip_left_right(image)

    if self._aug_color_distort and self._mode == simclr_model.PRETRAIN:
      image = simclr_preprocess_ops.random_color_jitter(
          image=image,
          color_jitter_strength=self._aug_color_jitter_strength,

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/simclr/dataloaders/simclr_input.py:143 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/c2f1f7e7992d7935. Report an issue: GitHub.