tf.strings.format

String lengths of input.

tf.strings.length(
    input, unit='BYTE', name=None
)

Used in the notebooks

Used in the tutorials
Unicode strings Word2Vec

Computes the length of each string given in the input tensor.

strings = tf.constant(['Hello','TensorFlow', '\U0001F642'])
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.
`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.
`name`	A name for the operation (optional).

Returns
A `Tensor` of type `int32`.

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tf.strings / format

Used in the notebooks

Args

Returns