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 SparseCrossV2 | |
| Output <Long> |
outputIndices
()
2-D.
|
| Output <Long> |
outputShape
()
1-D.
|
| Output <String> |
outputValues
()
1-D.
|
Inherited Methods
Public Methods
public static SparseCrossV2 create ( Scope scope, Iterable< Operand <Long>> indices, Iterable< Operand <?>> values, Iterable< Operand <Long>> shapes, Iterable< Operand <?>> denseInputs, Operand <String> sep)
Factory method to create a class wrapping a new SparseCrossV2 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`. |
| sep | string used when joining a list of string inputs, can be used as separator later. |
Returns
- a new instance of SparseCrossV2
public Output <String> outputValues ()
1-D. Non-empty values of the concatenated or hashed `SparseTensor`.