org.bytedeco.javacpp

Class tensorflow.SparseSegmentSum

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.SparseSegmentSum

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.SparseSegmentSum
extends Pointer

Computes the sum along sparse segments of a tensor. Read [the section on segmentation](https://tensorflow.org/api_guides/python/math_ops#Segmentation) for an explanation of segments. Like SegmentSum, but segment_ids can have rank less than data's first dimension, selecting a subset of dimension 0, specified by indices. For example:

 python
  c = tf.constant([[1,2,3,4], [-1,-2,-3,-4], [5,6,7,8]])
 
  # Select two rows, one segment.
  tf.sparse_segment_sum(c, tf.constant([0, 1]), tf.constant([0, 0]))
  # => [[0 0 0 0]]
 
  # Select two rows, two segment.
  tf.sparse_segment_sum(c, tf.constant([0, 1]), tf.constant([0, 1]))
  # => [[ 1  2  3  4]
  #     [-1 -2 -3 -4]]
 
  # Select all rows, two segments.
  tf.sparse_segment_sum(c, tf.constant([0, 1, 2]), tf.constant([0, 0, 1]))
  # => [[0 0 0 0]
  #     [5 6 7 8]]
 
  # Which is equivalent to:
  tf.segment_sum(c, tf.constant([0, 0, 1]))
  

Arguments: * scope: A Scope object * indices: A 1-D tensor. Has same rank as segment_ids. * segment_ids: A 1-D tensor. Values should be sorted and can be repeated. Returns: * Output: Has same shape as data, except for dimension 0 which has size k, the number of segments.

Nested Class Summary

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

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
SparseSegmentSum(Pointer p) Pointer cast constructor.
SparseSegmentSum(tensorflow.Scope scope, tensorflow.Input data, tensorflow.Input indices, tensorflow.Input segment_ids)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.SparseSegmentSum	operation(tensorflow.Operation operation)
tensorflow.Output	output()
tensorflow.SparseSegmentSum	output(tensorflow.Output output)

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, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

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

Constructor Detail

SparseSegmentSum

public SparseSegmentSum(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

SparseSegmentSum

public SparseSegmentSum(@Const @ByRef
                        tensorflow.Scope scope,
                        @ByVal
                        tensorflow.Input data,
                        @ByVal
                        tensorflow.Input indices,
                        @ByVal
                        tensorflow.Input segment_ids)

Method Detail

asOutput

@ByVal
 @Name(value="operator tensorflow::Output")
public tensorflow.Output asOutput()

asInput

@ByVal
 @Name(value="operator tensorflow::Input")
public tensorflow.Input asInput()

node

public tensorflow.Node node()

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.SparseSegmentSum operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.SparseSegmentSum output(tensorflow.Output output)