tensorflow::
ops::
RegexReplace
#include <string_ops.h>
Replaces matches of the
pattern
regular expression in
input
with the replacement string provided in
rewrite
.
Summary
It follows the re2 syntax ( https://github.com/google/re2/wiki/Syntax )
Args:
- scope: A Scope object
- input: The text to be processed.
-
pattern: The regular expression to be matched in the
input
strings. -
rewrite: The rewrite string to be substituted for the
pattern
expression where it is matched in theinput
strings.
Optional attributes (see
Attrs
):
-
replace_global: If True, the replacement is global (that is, all matches of the
pattern
regular expression in each input string are rewritten), otherwise therewrite
substitution is only made for the firstpattern
match.
Returns:
-
Output
: The text after applying pattern match and rewrite substitution.
Constructors and Destructors |
|
---|---|
RegexReplace
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
input, ::
tensorflow::Input
pattern, ::
tensorflow::Input
rewrite)
|
|
RegexReplace
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
input, ::
tensorflow::Input
pattern, ::
tensorflow::Input
rewrite, const
RegexReplace::Attrs
& attrs)
|
Public attributes |
|
---|---|
operation
|
|
output
|
Public functions |
|
---|---|
node
() const
|
::tensorflow::Node *
|
operator::tensorflow::Input
() const
|
|
operator::tensorflow::Output
() const
|
|
Public static functions |
|
---|---|
ReplaceGlobal
(bool x)
|
Structs |
|
---|---|
tensorflow::
|
Optional attribute setters for RegexReplace . |
Public attributes
Public functions
RegexReplace
RegexReplace( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input pattern, ::tensorflow::Input rewrite )
RegexReplace
RegexReplace( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input pattern, ::tensorflow::Input rewrite, const RegexReplace::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const