tf.string_to_hash_bucket_strong( input, num_buckets, key, name=None )
See the guide: Strings > Hashing
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
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 difficult, if not infeasible, to compute inputs
that hash to the same bucket. This comes at a cost of roughly 4x higher compute
string. The strings to assign a hash bucket.
>= 1. The number of buckets.
key: A list of
ints. The key for the keyed hash function passed as a list of two uint64 elements.
name: A name for the operation (optional).
Tensor of type