Generates sparse cross from a list of sparse and dense tensors.
tf.raw_ops.SparseCrossHashed( indices, values, shapes, dense_inputs, num_buckets, strong_hash, salt, name=None )
The op takes two lists, one of 2D SparseTensor
and one of 2D Tensor
, each representing features of one feature column. It outputs a 2D SparseTensor
with the batchwise crosses of these features.
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]: "a_X_d_X_f" [1, 0]: "b_X_e_X_g" [1, 1]: "c_X_e_X_g"
if hashed_output=true 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")))
Returns | |
---|---|
A tuple of Tensor objects (output_indices, output_values, output_shape). | |
output_indices | A Tensor of type int64 . |
output_values | A Tensor of type int64 . |
output_shape | A Tensor of type int64 . |