org.bytedeco.javacpp

Class tensorflow.StringSplit

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.StringSplit

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Split elements of input based on delimiter into a SparseTensor. Let N be the size of source (typically N will be the batch size). Split each element of input based on delimiter and return a SparseTensor containing the splitted tokens. Empty tokens are ignored. delimiter can be empty, or a string of split characters. If delimiter is an empty string, each element of input is split into individual single-byte character strings, including splitting of UTF-8 multibyte sequences. Otherwise every character of delimiter is a potential split point. For example: N = 2, input[0] is 'hello world' and input[1] is 'a b c', then the output will be indices = [0, 0; 0, 1; 1, 0; 1, 1; 1, 2] shape = [2, 3] values = ['hello', 'world', 'a', 'b', 'c'] Arguments: * scope: A Scope object * input: 1-D. Strings to split. * delimiter: 0-D. Delimiter characters (bytes), or empty string. Optional attributes (see Attrs): * skip_empty: A bool. If True, skip the empty strings from the result. Returns: * Output indices: A dense matrix of int64 representing the indices of the sparse tensor. * Output values: A vector of strings corresponding to the splited values. * Output shape: a length-2 vector of int64 representing the shape of the sparse tensor, where the first value is N and the second value is the maximum number of tokens in a single input entry.

Nested Class Summary

Nested Classes

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

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
StringSplit(Pointer p) Pointer cast constructor.
StringSplit(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input delimiter)
StringSplit(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input delimiter, tensorflow.StringSplit.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Output	indices()
tensorflow.StringSplit	indices(tensorflow.Output indices)
tensorflow.Operation	operation()
tensorflow.StringSplit	operation(tensorflow.Operation operation)
tensorflow.Output	shape()
tensorflow.StringSplit	shape(tensorflow.Output shape)
static tensorflow.StringSplit.Attrs	SkipEmpty(boolean x)
tensorflow.Output	values()
tensorflow.StringSplit	values(tensorflow.Output values)

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

StringSplit

public StringSplit(Pointer p)

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

StringSplit

public StringSplit(@Const @ByRef
                   tensorflow.Scope scope,
                   @ByVal
                   tensorflow.Input input,
                   @ByVal
                   tensorflow.Input delimiter)

StringSplit

public StringSplit(@Const @ByRef
                   tensorflow.Scope scope,
                   @ByVal
                   tensorflow.Input input,
                   @ByVal
                   tensorflow.Input delimiter,
                   @Const @ByRef
                   tensorflow.StringSplit.Attrs attrs)

Method Detail

SkipEmpty

@ByVal
public static tensorflow.StringSplit.Attrs SkipEmpty(@Cast(value="bool")
                                                             boolean x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.StringSplit operation(tensorflow.Operation operation)

indices

@ByRef
public tensorflow.Output indices()

indices

public tensorflow.StringSplit indices(tensorflow.Output indices)

values

@ByRef
public tensorflow.Output values()

values

public tensorflow.StringSplit values(tensorflow.Output values)

shape

@ByRef
public tensorflow.Output shape()

shape

public tensorflow.StringSplit shape(tensorflow.Output shape)