SparseReduceMaxSparse

public final class SparseReduceMaxSparse

Computes the max of elements across dimensions of a SparseTensor.

This Op takes a SparseTensor and is the sparse counterpart to `tf.reduce_max()`. In contrast to SparseReduceMax, this Op returns a SparseTensor.

Reduces `sp_input` along the dimensions given in `reduction_axes`. Unless `keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in `reduction_axes`. If `keep_dims` is true, the reduced dimensions are retained with length 1.

If `reduction_axes` has no entries, all dimensions are reduced, and a tensor with a single element is returned. Additionally, the axes can be negative, which are interpreted according to the indexing rules in Python.

Nested Classes

class SparseReduceMaxSparse.Options Optional attributes for SparseReduceMaxSparse

Constants

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

Public Methods

static <T extends TNumber > SparseReduceMaxSparse <T>
create ( Scope scope, Operand < TInt64 > inputIndices, Operand <T> inputValues, Operand < TInt64 > inputShape, Operand < TInt32 > reductionAxes, Options... options)
Factory method to create a class wrapping a new SparseReduceMaxSparse operation.
static SparseReduceMaxSparse.Options
keepDims (Boolean keepDims)
Output < TInt64 >
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: "SparseReduceMaxSparse"

Public Methods

public static SparseReduceMaxSparse <T> create ( Scope scope, Operand < TInt64 > inputIndices, Operand <T> inputValues, Operand < TInt64 > inputShape, Operand < TInt32 > reductionAxes, Options... options)

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

Parameters
scope current scope
inputIndices 2-D. `N x R` matrix with the indices of non-empty values in a SparseTensor, possibly not in canonical ordering.
inputValues 1-D. `N` non-empty values corresponding to `input_indices`.
inputShape 1-D. Shape of the input SparseTensor.
reductionAxes 1-D. Length-`K` vector containing the reduction axes.
options carries optional attributes values
Returns
  • a new instance of SparseReduceMaxSparse

public static SparseReduceMaxSparse.Options keepDims (Boolean keepDims)

Parameters
keepDims If true, retain reduced dimensions with length 1.

public Output < TInt64 > outputIndices ()

public Output < TInt64 > outputShape ()

public Output <T> outputValues ()