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### `tf.string_to_hash_bucket_strong(input, num_buckets, key, name=None)` {#string_to_hash_bucket_strong}
Converts each string in the input Tensor to its hash mod by a number of buckets.
The hash function is deterministic on the content of the string within the
process. The hash function is a keyed hash function, where attribute `key`
defines the key of the hash function. `key` is an array of 2 elements.
A strong hash is important when inputs may be malicious, e.g. URLs with
additional components. Adversaries could try to make their inputs hash to the
same bucket for a denial-of-service attack or to skew the results. A strong
hash prevents this by making it dificult, if not infeasible, to compute inputs
that hash to the same bucket. This comes at a cost of roughly 4x higher compute
time than tf.string_to_hash_bucket_fast.
##### Args:
* <b>`input`</b>: A `Tensor` of type `string`. The strings to assign a hash bucket.
* <b>`num_buckets`</b>: An `int` that is `>= 1`. The number of buckets.
* <b>`key`</b>: A list of `ints`.
The key for the keyed hash function passed as a list of two uint64
elements.
* <b>`name`</b>: A name for the operation (optional).
##### Returns:
A `Tensor` of type `int64`.
A Tensor of the same shape as the input `string_tensor`.
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