TensorFlow 1 version
|
Operations for working with string Tensors.
Functions
as_string(...): Converts each entry in the given tensor to strings.
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;
ngrams(...): Create a tensor of n-grams based on data.
reduce_join(...): Joins all strings into a single string, or joins along an axis.
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 into a RaggedTensor.
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.
unsorted_segment_join(...): Joins the elements of inputs based on segment_ids.