tf.strings.unicode_encode
Encodes each sequence of Unicode code points in input into a string.
tf.strings.unicode_encode(
input, output_encoding, errors='replace', replacement_char=65533, name=None
)
result[i1...iN] is the string formed by concatenating the Unicode codepoints input[1...iN, :], encoded using output_encoding.
| Args | |
|---|---|
input |
An N+1 dimensional potentially ragged integer tensor with shape [D1...DN, num_chars]. |
output_encoding |
Unicode encoding that should be used to encode each codepoint sequence. Can be "UTF-8", "UTF-16-BE", or "UTF-32-BE". |
errors |
Specifies the response when an invalid codepoint is encountered (optional). One of:
|
replacement_char |
The replacement character codepoint to be used in place of any invalid input when errors='replace'. Any valid unicode codepoint may be used. The default value is the default unicode replacement character which is 0xFFFD (U+65533). |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A N dimensional string tensor with shape [D1...DN]. |
Example:
input = tf.ragged.constant(
[[71, 246, 246, 100, 110, 105, 103, 104, 116], [128522]])
print(unicode_encode(input, 'UTF-8'))
tf.Tensor([b'G\xc3\xb6\xc3\xb6dnight' b'\xf0\x9f\x98\x8a'],
shape=(2,), dtype=string)
© 2020 The TensorFlow Authors. All rights reserved.
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_encode