SparseSparseMaximum

public final class SparseSparseMaximum

Returns the element-wise max of two SparseTensors.

Assumes the two SparseTensors have the same shape, i.e., no broadcasting.

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

static <T extends TNumber> SparseSparseMaximum<T>	create(Scope scope, Operand<TInt64> aIndices, Operand<T> aValues, Operand<TInt64> aShape, Operand<TInt64> bIndices, Operand<T> bValues, Operand<TInt64> bShape) Factory method to create a class wrapping a new SparseSparseMaximum operation.
Output<TInt64>	outputIndices() 2-D.
Output<T>	outputValues() 1-D.

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

From class java.lang.Object

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single `Operation`.

Constants

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

Constant Value: "SparseSparseMaximum"

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

scope	current scope
aIndices	2-D. `N x R` matrix with the indices of non-empty values in a SparseTensor, in the canonical lexicographic ordering.
aValues	1-D. `N` non-empty values corresponding to `a_indices`.
aShape	1-D. Shape of the input SparseTensor.
bIndices	counterpart to `a_indices` for the other operand.
bValues	counterpart to `a_values` for the other operand; must be of the same dtype.
bShape	counterpart to `a_shape` for the other operand; the two shapes must be equal.

2-D. The indices of the output SparseTensor.

1-D. The values of the output SparseTensor.