SparseSparseMinimum

Stay organized with collections Save and categorize content based on your preferences.
public final class SparseSparseMinimum

Returns the element-wise min of two SparseTensors.

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

Constants

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

Public Methods

static <T extends TType> SparseSparseMinimum<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 SparseSparseMinimum operation.
Output<TInt64>
outputIndices()
2-D.
Output<T>
outputValues()
1-D.

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "SparseSparseMinimum"

Public Methods

public static SparseSparseMinimum<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 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

public Output<TInt64> outputIndices ()

2-D. The indices of the output SparseTensor.

public Output<T> outputValues ()

1-D. The values of the output SparseTensor.