Replace elements of input matching regex pattern with rewrite.
tf.strings.regex_replace(
input, pattern, rewrite, replace_global=True, name=None
)
tf.strings.regex_replace("Text with tags.<br /><b>contains html</b>",
"<[^>]+>", " ")
<tf.Tensor: shape=(), dtype=string, numpy=b'Text with tags. contains html '>
Args |
|---|
input
|
string Tensor, the source strings to process.
|
pattern
|
string or scalar string Tensor, regular expression to use,
see more details at https://github.com/google/re2/wiki/Syntax
|
rewrite
|
string or scalar string Tensor, value to use in match
replacement, supports backslash-escaped digits (\1 to \9) can be to insert
text matching corresponding parenthesized group.
|
replace_global
|
bool, if True replace all non-overlapping matches,
else replace only the first match.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
string Tensor of the same shape as input with specified replacements.
|
TensorFlow 1 version
View source on GitHub