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Randomly flip an image vertically (upside down) deterministically.

Guarantees the same results given the same seed independent of how many times the function is called, and independent of global seed settings (e.g. tf.random.set_seed).

Example usage:

image = np.array([[[1], [2]], [[3], [4]]])
seed = (2, 3)
tf.image.stateless_random_flip_up_down(image, seed).numpy().tolist()
[[[3], [4]], [[1], [2]]]

image 4-D Tensor of shape [batch, height, width, channels] or 3-D Tensor of shape [height, width, channels].
seed A shape [2] Tensor, the seed to the random number generator. Must have dtype int32 or int64. (When using XLA, only int32 is allowed.)

A tensor of the same type and shape as image.