tf.strings.ngrams

TensorFlow 1 version

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Check if the input matches the regex pattern.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.strings.regex_full_match

tf.strings.regex_full_match(
    input, pattern, name=None
)

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`.

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tf.strings / ngrams

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Examples:

Args

Returns