def string_length(input, name=None, unit="BYTE"):
"""Computes the length of each string given in the input tensor.
>>> strings = tf.constant(['Hello','TensorFlow', '🙂'])
>>> tf.strings.length(strings).numpy() # default counts bytes
array([ 5, 10, 4], dtype=int32)
>>> tf.strings.length(strings, unit="UTF8_CHAR").numpy()
array([ 5, 10, 1], dtype=int32)
Args:
input: A `Tensor` of type `string`. The strings for which to compute the
length for each element.
name: A name for the operation (optional).
unit: An optional `string` from: `"BYTE", "UTF8_CHAR"`. Defaults to
`"BYTE"`. The unit that is counted to compute string length. One of:
`"BYTE"` (for the number of bytes in each string) or `"UTF8_CHAR"` (for
the number of UTF-8 encoded Unicode code points in each string). Results
are undefined if `unit=UTF8_CHAR` and the `input` strings do not contain
structurally valid UTF-8.
Returns:
A `Tensor` of type `int32`, containing the length of the input string in
the same element of the input tensor.
"""
return gen_string_ops.string_length(input, unit=unit, name=name)
def string_length(input, name=None, unit="BYTE"): return gen_string_ops.string_length(input, unit=unit, name=name)
