Generates sparse cross from a list of sparse and dense tensors.
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")))
Public Methods
static SparseCrossHashed | |
Output<Long> |
outputIndices()
2-D.
|
Output<Long> |
outputShape()
1-D.
|
Output<Long> |
outputValues()
1-D.
|
Inherited Methods
Public Methods
public static SparseCrossHashed create (Scope scope, Iterable<Operand<Long>> indices, Iterable<Operand<?>> values, Iterable<Operand<Long>> shapes, Iterable<Operand<?>> denseInputs, Operand<Long> numBuckets, Operand<Boolean> strongHash, Operand<Long> salt)
Factory method to create a class wrapping a new SparseCrossHashed operation.
Parameters
scope | current scope |
---|---|
indices | 2-D. Indices of each input `SparseTensor`. |
values | 1-D. values of each `SparseTensor`. |
shapes | 1-D. Shapes of each `SparseTensor`. |
denseInputs | 2-D. Columns represented by dense `Tensor`. |
numBuckets | It is used if hashed_output is true. output = hashed_value%num_buckets if num_buckets > 0 else hashed_value. |
strongHash | boolean, if true, siphash with salt will be used instead of farmhash. |
salt | Specify the salt that will be used by the siphash function. |
Returns
- a new instance of SparseCrossHashed
public Output<Long> outputValues ()
1-D. Non-empty values of the concatenated or hashed `SparseTensor`.