org.tensorflow.op.core

Class StringSplit

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.StringSplit

All Implemented Interfaces:

Op

@Operator
public final class StringSplit
extends PrimitiveOp

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']

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	StringSplit.Options Optional attributes for StringSplit

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
static StringSplit	create(Scope scope, Operand<String> input, Operand<String> delimiter, StringSplit.Options... options) Factory method to create a class to wrap a new StringSplit operation to the graph.
Output<Long>	indices() A dense matrix of int64 representing the indices of the sparse tensor.
Output<Long>	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.
static StringSplit.Options	skipEmpty(Boolean skipEmpty)
Output<String>	values() A vector of strings corresponding to the splited values.

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Methods inherited from class java.lang.Object

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

Method Detail

create

public static StringSplit create(Scope scope,
                                 Operand<String> input,
                                 Operand<String> delimiter,
                                 StringSplit.Options... options)

Factory method to create a class to wrap a new StringSplit operation to the graph.

Parameters:

scope - current graph scope

input - 1-D. Strings to split.

delimiter - 0-D. Delimiter characters (bytes), or empty string.

options - carries optional attributes values

Returns:

a new instance of StringSplit

skipEmpty

public static StringSplit.Options skipEmpty(Boolean skipEmpty)

Parameters:

skipEmpty - A `bool`. If `True`, skip the empty strings from the result.

indices

public Output<Long> indices()

A dense matrix of int64 representing the indices of the sparse tensor.

values

public Output<String> values()

A vector of strings corresponding to the splited values.

shape

public Output<Long> 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.