tensorflow::ops::StringSplit

#include <string_ops.h>

Split elements of input based on delimiter into a SparseTensor.

Summary

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.

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.

Constructors and Destructors

StringSplit(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input delimiter)

Public attributes

indices
shape
values

Public attributes

indices

::tensorflow::Output indices

shape

::tensorflow::Output shape

values

::tensorflow::Output values

Public functions

StringSplit

 StringSplit(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input delimiter
)