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Splits each string into a sequence of code points with start offsets.
tf.strings.unicode_split_with_offsets( input, input_encoding, errors='replace', replacement_char=65533, name=None )
This op is similar to tf.strings.decode(...)
, but it also returns the start offset for each character in its respective string. This information can be used to align the characters with the original byte sequence.
Returns a tuple (chars, start_offsets)
where:
chars[i1...iN, j]
is the substring of input[i1...iN]
that encodes its j
th character, when decoded using input_encoding
.start_offsets[i1...iN, j]
is the start byte offset for the j
th character in input[i1...iN]
, when decoded using input_encoding
.Args | |
---|---|
input | An N dimensional potentially ragged string tensor with shape [D1...DN] . N must be statically known. |
input_encoding | String name for the unicode encoding that should be used to decode each string. |
errors | Specifies the response when an input string can't be converted using the indicated encoding. One of:
|
replacement_char | The replacement codepoint to be used in place of invalid substrings in input when errors='replace' . |
name | A name for the operation (optional). |
Returns | |
---|---|
A tuple of N+1 dimensional tensors (codepoints, start_offsets) .
The returned tensors are |
input = [s.encode('utf8') for s in (u'G\xf6\xf6dnight', u'\U0001f60a')] result = tf.strings.unicode_split_with_offsets(input, 'UTF-8') result[0].to_list() # character substrings [[b'G', b'\xc3\xb6', b'\xc3\xb6', b'd', b'n', b'i', b'g', b'h', b't'], [b'\xf0\x9f\x98\x8a']] result[1].to_list() # offsets [[0, 1, 3, 5, 6, 7, 8, 9, 10], [0]]
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/strings/unicode_split_with_offsets