Check if the input matches the regex pattern.
The input is a string tensor of any shape. The pattern is a scalar string tensor which is applied to every element of the input tensor. The boolean values (True or False) of the output tensor indicate if the input matches the regex pattern provided.
The pattern follows the re2 syntax (https://github.com/google/re2/wiki/Syntax)
Examples:
>>> tf.strings.regex_full_match(["TF lib", "lib TF"], ".*lib$")
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Inherited Methods
boolean |
equals(Object arg0)
|
final Class<?> |
getClass()
|
int |
hashCode()
|
final void |
notify()
|
final void |
notifyAll()
|
String |
toString()
|
final void |
wait(long arg0, int arg1)
|
final void |
wait(long arg0)
|
final void |
wait()
|
abstract ExecutionEnvironment |
env()
Return the execution environment this op was created in.
|
abstract Operation |
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<TBool> asOutput ()
Returns the symbolic handle of the tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static RegexFullMatch create (Scope scope, Operand<TString> input, Operand<TString> pattern)
Factory method to create a class wrapping a new RegexFullMatch operation.
Parameters
scope | current scope |
---|---|
input | A string tensor of the text to be processed. |
pattern | A scalar string tensor containing the regular expression to match the input. |
Returns
- a new instance of RegexFullMatch