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>	outputIndices()
Output<TInt64>	outputShape()
Output<T>	outputValues()

Inherited Methods

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

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

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

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.

SparseReduceMaxSparse

Nested Classes

Constants

Public Methods

Inherited Methods

Constants

public static final String OP_NAME

Public Methods

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

Parameters

Returns

public static SparseReduceMaxSparse.Options keepDims (Boolean keepDims)

Parameters

public Output<TInt64> outputIndices ()

public Output<TInt64> outputShape ()

public Output<T> outputValues ()