tft.hash_strings
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Hash strings into buckets.
tft.hash_strings(
strings: common_types.ConsistentTensorType,
hash_buckets: int,
key: Optional[Iterable[int]] = None,
name: Optional[str] = None
) -> common_types.ConsistentTensorType
Args |
strings
|
a Tensor , SparseTensor , or RaggedTensor of dtype tf.string .
|
hash_buckets
|
the number of hash buckets.
|
key
|
optional. An array of two Python uint64 . If passed, output will be a
deterministic function of strings and key . Note that hashing will be
slower if this value is specified.
|
name
|
(Optional) A name for this operation.
|
Returns |
A Tensor , SparseTensor , or RaggedTensor of dtype tf.int64 with the
same shape as
the input strings .
|
Raises |
TypeError
|
if strings is not a Tensor , SparseTensor , or RaggedTensor
of dtype tf.string .
|
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Last updated 2024-04-26 UTC.
[{
"type": "thumb-down",
"id": "missingTheInformationINeed",
"label":"Missing the information I need"
},{
"type": "thumb-down",
"id": "tooComplicatedTooManySteps",
"label":"Too complicated / too many steps"
},{
"type": "thumb-down",
"id": "outOfDate",
"label":"Out of date"
},{
"type": "thumb-down",
"id": "samplesCodeIssue",
"label":"Samples / code issue"
},{
"type": "thumb-down",
"id": "otherDown",
"label":"Other"
}]
[{
"type": "thumb-up",
"id": "easyToUnderstand",
"label":"Easy to understand"
},{
"type": "thumb-up",
"id": "solvedMyProblem",
"label":"Solved my problem"
},{
"type": "thumb-up",
"id": "otherUp",
"label":"Other"
}]
{"lastModified": "Last updated 2024-04-26 UTC."}
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[]]