org.tensorflow.op.sparse

Class SparseSparseMinimum<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.sparse.SparseSparseMinimum<T>

Type Parameters:

T - data type for outputValues() output

All Implemented Interfaces:

Op

@Operator(group="sparse")
public final class SparseSparseMinimum<T>
extends PrimitiveOp

Returns the element-wise min of two SparseTensors.

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

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
static <T> SparseSparseMinimum<T>	create(Scope scope, Operand<Long> aIndices, Operand<T> aValues, Operand<Long> aShape, Operand<Long> bIndices, Operand<T> bValues, Operand<Long> bShape) Factory method to create a class wrapping a new SparseSparseMinimum operation.
Output<Long>	outputIndices() 2-D.
Output<T>	outputValues() 1-D.

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, op, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Method Detail

create

public static <T> SparseSparseMinimum<T> create(Scope scope,
                                                Operand<Long> aIndices,
                                                Operand<T> aValues,
                                                Operand<Long> aShape,
                                                Operand<Long> bIndices,
                                                Operand<T> bValues,
                                                Operand<Long> bShape)

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

Parameters:

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.

Returns:

a new instance of SparseSparseMinimum

outputIndices

public Output<Long> outputIndices()

2-D. The indices of the output SparseTensor.

outputValues

public Output<T> outputValues()

1-D. The values of the output SparseTensor.