SparseSparseMinimum

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 >
Output <T>

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.