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Module: tf.strings

TensorFlow 2.0 version

Functions

as_string(...): Converts each entry in the given tensor to strings. Supports many numeric

bytes_split(...): Split string elements of input into bytes.

format(...): Formats a string template using a list of tensors.

join(...): Joins the strings in the given list of string tensors into one tensor;

length(...): String lengths of input.

lower(...): TODO: add doc.

reduce_join(...): Joins a string Tensor across the given dimensions.

regex_full_match(...): Check if the input matches the regex pattern.

regex_replace(...): Replace elements of input matching regex pattern with rewrite.

split(...): Split elements of input based on sep.

strip(...): Strip leading and trailing whitespaces from the Tensor.

substr(...): Return substrings from Tensor of strings.

to_hash_bucket(...): Converts each string in the input Tensor to its hash mod by a number of buckets.

to_hash_bucket_fast(...): Converts each string in the input Tensor to its hash mod by a number of buckets.

to_hash_bucket_strong(...): Converts each string in the input Tensor to its hash mod by a number of buckets.

to_number(...): Converts each string in the input Tensor to the specified numeric type.

unicode_decode(...): Decodes each string in input into a sequence of Unicode code points.

unicode_decode_with_offsets(...): Decodes each string into a sequence of code points with start offsets.

unicode_encode(...): Encodes each sequence of Unicode code points in input into a string.

unicode_script(...): Determine the script codes of a given tensor of Unicode integer code points.

unicode_split(...): Splits each string in input into a sequence of Unicode code points.

unicode_split_with_offsets(...): Splits each string into a sequence of code points with start offsets.

unicode_transcode(...): Transcode the input text from a source encoding to a destination encoding.

upper(...): TODO: add doc.