to the same bucket. To prevent this problem, use a strong hash function with
`tf.string_to_hash_bucket_strong`.

Examples:

>>> tf.strings.to_hash_bucket_fast(["Hello", "TensorFlow", "2.x"], 3).numpy()
array([0, 2, 2])
  }];

  let arguments = (ins
    Arg<TF_StrTensor, [{The strings to assign a hash bucket.}]>:$input,

        to `tf.string_strip`), `tf.strings.substr`, `tf.strings.to_hash_bucket`
        (corresponds to `tf.string_to_hash_bucket`),
        `tf.strings.to_hash_bucket_fast` (corresponds to
        `tf.string_to_hash_bucket_fast`), `tf.strings.to_hash_bucket_strong`
        (corresponds to `tf.string_to_hash_bucket_strong`).

## Thanks to our Contributors