tensorflow/models · error · ValueError

Unknown impl {} for random brightness.

Error message

Unknown impl {} for random brightness.

What it means

Error "Unknown impl {} for random brightness." thrown in tensorflow/models.

Source

Thrown at official/projects/simclr/dataloaders/preprocess_ops.py:39

def random_apply(func, p, x):
  """Randomly apply function func to x with probability p."""
  return tf.cond(
      tf.less(
          tf.random.uniform([], minval=0, maxval=1, dtype=tf.float32),
          tf.cast(p, tf.float32)), lambda: func(x), lambda: x)


def random_brightness(image, max_delta, impl='simclrv2'):
  """A multiplicative vs additive change of brightness."""
  if impl == 'simclrv2':
    factor = tf.random.uniform([], tf.maximum(1.0 - max_delta, 0),
                               1.0 + max_delta)
    image = image * factor
  elif impl == 'simclrv1':
    image = tf.image.random_brightness(image, max_delta=max_delta)
  else:
    raise ValueError('Unknown impl {} for random brightness.'.format(impl))
  return image


def to_grayscale(image, keep_channels=True):
  image = tf.image.rgb_to_grayscale(image)
  if keep_channels:
    image = tf.tile(image, [1, 1, 3])
  return image


def color_jitter_nonrand(image,
                         brightness=0,
                         contrast=0,
                         saturation=0,
                         hue=0,
                         impl='simclrv2'):
  """Distorts the color of the image (jittering order is fixed).

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/simclr/dataloaders/preprocess_ops.py:39 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/03ea0d056e5c2899. Report an issue: GitHub.