tensorflow:: ops:: StringSplit

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']

Args:

• 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.

Public attributes

::tensorflow::Output indices

Operation operation

::tensorflow::Output shape

::tensorflow::Output values

Public functions

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

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

Public static functions

Attrs SkipEmpty(
  bool x
)