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")))
Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
| static SparseCross | |
| Output<TInt64> |
outputIndices()
2-D.
|
| Output<TInt64> |
outputShape()
1-D.
|
| Output<TString> |
outputValues()
1-D.
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public static SparseCross create (Scope scope, Iterable<Operand<TInt64>> indices, Iterable<Operand<?>> values, Iterable<Operand<TInt64>> shapes, Iterable<Operand<?>> denseInputs, Operand<TString> sep)
Factory method to create a class wrapping a new SparseCross 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 SparseCross