SparseCrossV2

public final class SparseCrossV2

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
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.
Output<Long>
outputIndices()
2-D.
Output<Long>
outputShape()
1-D.
Output<String>
outputValues()
1-D.

Inherited Methods

org.tensorflow.op.PrimitiveOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Returns the underlying Operation
final String
toString()
boolean
equals(Object arg0)
final Class<?>
getClass()
int
hashCode()
final void
notify()
final void
notifyAll()
String
toString()
final void
wait(long arg0, int arg1)
final void
wait(long arg0)
final void
wait()

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<Long> outputIndices ()

2-D. Indices of the concatenated `SparseTensor`.

public Output<Long> outputShape ()

1-D. Shape of the concatenated `SparseTensor`.

public Output<String> outputValues ()

1-D. Non-empty values of the concatenated or hashed `SparseTensor`.