tf.sparse.cross_hashed

Generates hashed sparse cross from a list of sparse and dense tensors.

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")))

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.

A SparseTensor of type int64.