@Operator public final class StringToHashBucketStrong extends PrimitiveOp implements Operand<Long>
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`.
operation| Modifier and Type | Method and Description |
|---|---|
Output<Long> |
asOutput()
Returns the symbolic handle of a tensor.
|
static StringToHashBucketStrong |
create(Scope scope,
Operand<String> input,
Long numBuckets,
List<Long> key)
Factory method to create a class to wrap a new StringToHashBucketStrong operation to the graph.
|
Output<Long> |
output()
A Tensor of the same shape as the input `string_tensor`.
|
equals, hashCode, toStringpublic static StringToHashBucketStrong create(Scope scope, Operand<String> input, Long numBuckets, List<Long> key)
scope - current graph scopeinput - The strings to assign a hash bucket.numBuckets - The number of buckets.key - The key for the keyed hash function passed as a list of two uint64
elements.public Output<Long> asOutput()
OperandInputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
asOutput in interface Operand<Long>OperationBuilder.addInput(Output)Copyright © 2015–2019. All rights reserved.