Created
May 3, 2022 03:04
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| import tensorflow as tf | |
| # https://github.com/tensorflow/tensorflow/issues/55646 | |
| def unique_uniform(num_samples, | |
| minval, | |
| maxval, | |
| seed, | |
| shape, | |
| dtype): # maxval is inclusive | |
| shuffled_index = tf.random.experimental.index_shuffle( | |
| tf.range(num_samples, dtype=tf.int32), | |
| seed=seed, max_index=maxval-minval | |
| ) + minval | |
| return tf.cast( | |
| tf.reshape(shuffled_index, shape), dtype=dtype | |
| ) | |
| rng = tf.random.Generator.from_seed(1234) | |
| set_seed = tf.reshape(rng.make_seeds(), [-1]) | |
| unique_uniform( | |
| num_samples=20, | |
| minval=5, | |
| maxval=30, | |
| seed=set_seed, | |
| shape=[4,5], | |
| dtype=tf.float32 | |
| ) | |
| <tf.Tensor: shape=(4, 5), dtype=float32, numpy= | |
| array([[10., 27., 23., 9., 26.], | |
| [ 5., 11., 18., 30., 16.], | |
| [21., 15., 25., 13., 17.], | |
| [14., 6., 28., 20., 7.]], dtype=float32)> |
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