tf.sparse.cross_hashed
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Generates hashed sparse cross from a list of sparse and dense tensors.
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Compat aliases for migration
See
Migration guide for
more details.
tf.compat.v1.sparse.cross_hashed
tf . sparse . cross_hashed (
inputs , num_buckets = 0 , hash_key = None , name = None
)
For example, if the inputs are
* inputs [ 0 ]: SparseTensor with shape = [ 2 , 2 ]
[ 0 , 0 ]: "a"
[ 1 , 0 ]: "b"
[ 1 , 1 ]: "c"
* inputs [ 1 ]: SparseTensor with shape = [ 2 , 1 ]
[ 0 , 0 ]: "d"
[ 1 , 0 ]: "e"
* inputs [ 2 ]: Tensor [[ "f" ], [ "g" ]]
then the output will be:
shape = [ 2 , 2 ]
[ 0 , 0 ]: FingerprintCat64 (
Fingerprint64 ( "f" ), FingerprintCat64 (
Fingerprint64 ( "d" ), Fingerprint64 ( "a" )))
[ 1 , 0 ]: FingerprintCat64 (
Fingerprint64 ( "g" ), FingerprintCat64 (
Fingerprint64 ( "e" ), Fingerprint64 ( "b" )))
[ 1 , 1 ]: FingerprintCat64 (
Fingerprint64 ( "g" ), FingerprintCat64 (
Fingerprint64 ( "e" ), Fingerprint64 ( "c" )))
Args
inputs
An iterable of Tensor
or SparseTensor
.
num_buckets
An int
that is >= 0
.
output = hashed_value%num_buckets if num_buckets > 0 else hashed_value.
hash_key
Integer hash_key that will be used by the FingerprintCat64
function. If not given, will use a default key.
name
Optional name for the op.
Returns
A SparseTensor
of type int64
.
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Last updated 2024-01-23 UTC.
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