tensorflow::ops::StringToHashBucketStrong

#include <string_ops.h>

Converts each string in the input Tensor to its hash mod by a number of buckets.

Summary

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 can be used to make it difficult to find inputs with a skewed hash value distribution over buckets. This requires that the hash function is seeded by a high-entropy (random) "key" unknown to the adversary.

The additional robustness comes at a cost of roughly 4x higher compute time than tf.string_to_hash_bucket_fast.

Examples:

tf.strings.to_hash_bucket_strong(["Hello", "TF"], 3, [1, 2]).numpy() array([2, 0])

Arguments:

  • scope: A Scope object
  • input: The strings to assign a hash bucket.
  • num_buckets: The number of buckets.
  • key: The key used to seed the hash function, passed as a list of two uint64 elements.

Returns:

  • Output: A Tensor of the same shape as the input string_tensor.

Constructors and Destructors
StringToHashBucketStrong(const ::tensorflow::Scope & scope, ::tensorflow::Input input, int64 num_buckets, const gtl::ArraySlice< int > & key)

Public attributes
operation
output

Public functions
node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public attributes

operation

Operation operation

output

::tensorflow::Output output

Public functions

StringToHashBucketStrong

 StringToHashBucketStrong(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  int64 num_buckets,
  const gtl::ArraySlice< int > & key
)

node

::tensorflow::Node * node() const

operator::tensorflow::Input

 operator::tensorflow::Input() const

operator::tensorflow::Output

 operator::tensorflow::Output() const