SparseSoftmax

public final class SparseSoftmax

Applies softmax to a batched N-D `SparseTensor`.

The inputs represent an N-D SparseTensor with logical shape `[..., B, C]` (where `N >= 2`), and with indices sorted in the canonical lexicographic order.

This op is equivalent to applying the normal `tf.nn.softmax()` to each innermost logical submatrix with shape `[B, C]`, but with the catch that the implicitly zero elements do not participate . Specifically, the algorithm is equivalent to the following:

(1) Applies `tf.nn.softmax()` to a densified view of each innermost submatrix with shape `[B, C]`, along the size-C dimension; (2) Masks out the original implicitly-zero locations; (3) Renormalizes the remaining elements.

Hence, the `SparseTensor` result has exactly the same non-zero indices and shape.

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output <T>
asOutput ()
Returns the symbolic handle of the tensor.
static <T extends TNumber > SparseSoftmax <T>
create ( Scope scope, Operand < TInt64 > spIndices, Operand <T> spValues, Operand < TInt64 > spShape)
Factory method to create a class wrapping a new SparseSoftmax operation.
Output <T>
output ()
1-D.

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "SparseSoftmax"

Public Methods

public Output <T> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static SparseSoftmax <T> create ( Scope scope, Operand < TInt64 > spIndices, Operand <T> spValues, Operand < TInt64 > spShape)

Factory method to create a class wrapping a new SparseSoftmax operation.

Parameters
scope current scope
spIndices 2-D. `NNZ x R` matrix with the indices of non-empty values in a SparseTensor, in canonical ordering.
spValues 1-D. `NNZ` non-empty values corresponding to `sp_indices`.
spShape 1-D. Shape of the input SparseTensor.
Returns
  • a new instance of SparseSoftmax

public Output <T> output ()

1-D. The `NNZ` values for the result `SparseTensor`.