org.bytedeco.tensorflow

Class SparseReduceMaxSparse

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.tensorflow.SparseReduceMaxSparse

All Implemented Interfaces:

AutoCloseable

@Namespace(value="tensorflow::ops")
 @NoOffset
 @Properties(inherit=tensorflow.class)
public class SparseReduceMaxSparse
extends Pointer

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. Arguments: * scope: A Scope object * input_indices: 2-D. N x R matrix with the indices of non-empty values in a SparseTensor, possibly not in canonical ordering. * input_values: 1-D. N non-empty values corresponding to input_indices. * input_shape: 1-D. Shape of the input SparseTensor. * reduction_axes: 1-D. Length-K vector containing the reduction axes. Optional attributes (see Attrs): * keep_dims: If true, retain reduced dimensions with length 1. Returns: * Output output_indices * Output output_values * Output output_shape

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	SparseReduceMaxSparse.Attrs Optional attribute setters for SparseReduceMaxSparse

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
SparseReduceMaxSparse(Pointer p) Pointer cast constructor.
SparseReduceMaxSparse(Scope scope, Input input_indices, Input input_values, Input input_shape, Input reduction_axes)
SparseReduceMaxSparse(Scope scope, Input input_indices, Input input_values, Input input_shape, Input reduction_axes, SparseReduceMaxSparse.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
static SparseReduceMaxSparse.Attrs	KeepDims(boolean x)
Operation	operation()
SparseReduceMaxSparse	operation(Operation setter)
Output	output_indices()
SparseReduceMaxSparse	output_indices(Output setter)
Output	output_shape()
SparseReduceMaxSparse	output_shape(Output setter)
Output	output_values()
SparseReduceMaxSparse	output_values(Output setter)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, getDirectBufferAddress, getPointer, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

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

Constructor Detail

SparseReduceMaxSparse

public SparseReduceMaxSparse(Pointer p)

Pointer cast constructor. Invokes Pointer(Pointer).

SparseReduceMaxSparse

public SparseReduceMaxSparse(@Const @ByRef
                             Scope scope,
                             @ByVal
                             Input input_indices,
                             @ByVal
                             Input input_values,
                             @ByVal
                             Input input_shape,
                             @ByVal
                             Input reduction_axes)

SparseReduceMaxSparse

public SparseReduceMaxSparse(@Const @ByRef
                             Scope scope,
                             @ByVal
                             Input input_indices,
                             @ByVal
                             Input input_values,
                             @ByVal
                             Input input_shape,
                             @ByVal
                             Input reduction_axes,
                             @Const @ByRef
                             SparseReduceMaxSparse.Attrs attrs)

Method Detail

KeepDims

@ByVal
public static SparseReduceMaxSparse.Attrs KeepDims(@Cast(value="bool")
                                                           boolean x)

operation

@ByRef
public Operation operation()

operation

public SparseReduceMaxSparse operation(Operation setter)

output_indices

@ByRef
public Output output_indices()

output_indices

public SparseReduceMaxSparse output_indices(Output setter)

output_values

@ByRef
public Output output_values()

output_values

public SparseReduceMaxSparse output_values(Output setter)

output_shape

@ByRef
public Output output_shape()

output_shape

public SparseReduceMaxSparse output_shape(Output setter)