tf.strings.regex_full_match | TensorFlow v2.16.1 (original) (raw)
tf.strings.regex_full_match
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Check if the input matches the regex pattern.
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tf.compat.v1.strings.regex_full_match
tf.strings.regex_full_match(
input, pattern, name=None
)
Used in the notebooks
| Used in the guide |
|---|
| Subword tokenizers |
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$")
<tf.Tensor: shape=(2,), dtype=bool, numpy=array([ True, False])>
tf.strings.regex_full_match(["TF lib", "lib TF"], ".*TF$")
<tf.Tensor: shape=(2,), dtype=bool, numpy=array([False, True])>
| Args | |
|---|---|
| input | A Tensor of type string. A string tensor of the text to be processed. |
| pattern | A Tensor of type string. A scalar string tensor containing the regular expression to match the input. |
| name | A name for the operation (optional). |
| Returns |
|---|
| A Tensor of type bool. |