`#include <string_ops.h>`

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 difficult, 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`

.

Arguments:

- scope: A Scope object
- input: The strings to assign a hash bucket.
- num_buckets: The number of buckets.
- key: The key for the keyed hash function passed as a list of two uint64 elements.

Returns:

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

Public attributes | |
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`output` |

Public functions | |
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`node() const ` | `::tensorflow::Node *` |

`operator::tensorflow::Input() const ` | |

`operator::tensorflow::Output() const ` |

::tensorflow::Output output

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

::tensorflow::Node * node() const

operator::tensorflow::Input() const

operator::tensorflow::Output() const

© 2017 The TensorFlow Authors. All rights reserved.

Licensed under the Creative Commons Attribution License 3.0.

Code samples licensed under the Apache 2.0 License.

https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/string-to-hash-bucket-strong.html