org.bytedeco.javacpp

Class tensorflow.SparseSegmentSqrtNWithNumSegments

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.SparseSegmentSqrtNWithNumSegments

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Computes the sum along sparse segments of a tensor divided by the sqrt of N. N is the size of the segment being reduced. Like SparseSegmentSqrtN, but allows missing ids in segment_ids. If an id is misisng, the output tensor at that position will be zeroed. Read [the section on segmentation](https://tensorflow.org/api_guides/python/math_ops#Segmentation) for an explanation of segments. 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. * num_segments: Should equal the number of distinct segment IDs. 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
SparseSegmentSqrtNWithNumSegments(Pointer p) Pointer cast constructor.
SparseSegmentSqrtNWithNumSegments(tensorflow.Scope scope, tensorflow.Input data, tensorflow.Input indices, tensorflow.Input segment_ids, tensorflow.Input num_segments)

Method Summary

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

SparseSegmentSqrtNWithNumSegments

public SparseSegmentSqrtNWithNumSegments(Pointer p)

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

SparseSegmentSqrtNWithNumSegments

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

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.SparseSegmentSqrtNWithNumSegments operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.SparseSegmentSqrtNWithNumSegments output(tensorflow.Output output)