tf.strings

TensorFlow 1 version

View source on GitHub

Split string elements of input into bytes.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.strings.bytes_split

tf.strings.bytes_split(
    input, name=None
)

Used in the notebooks

Used in the guide	Used in the tutorials
Introduction to Tensors	Federated Learning for Text Generation

Examples:

tf.strings.bytes_split('hello').numpy()
array([b'h', b'e', b'l', b'l', b'o'], dtype=object)
tf.strings.bytes_split(['hello', '123'])
<tf.RaggedTensor [[b'h', b'e', b'l', b'l', b'o'], [b'1', b'2', b'3']]>

Note that this op splits strings into bytes, not unicode characters. To split strings into unicode characters, use tf.strings.unicode_split.

Args
`input`	A string `Tensor` or `RaggedTensor`: the strings to split. Must have a statically known rank (`N`).
`name`	A name for the operation (optional).

Returns
A `RaggedTensor` of rank `N+1`: the bytes that make up the source strings.

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.strings / Overview

View aliases

Used in the notebooks

Examples:

Args

Returns