|---| | [ View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.21.0/tensorflow/python/ops/string_ops.py#L332-L375) | Joins all strings into a single string, or joins along an axis. tf.strings.reduce_join( inputs, axis=None, keepdims=False, separator='', name=None ) ### Used in the notebooks | Used in the guide | Used in the tutorials | |---|---| | - [Subword tokenizers](https://www.tensorflow.org/text/guide/subwords_tokenizer) | - [TensorFlow Ranking Keras pipeline for distributed training](https://www.tensorflow.org/ranking/tutorials/ranking_dnn_distributed) - [Image captioning with visual attention](https://www.tensorflow.org/text/tutorials/image_captioning) - [Text generation with an RNN](https://www.tensorflow.org/text/tutorials/text_generation) - [Neural machine translation with attention](https://www.tensorflow.org/text/tutorials/nmt_with_attention) | This is the reduction operation for the elementwise [`tf.strings.join`](https://www.tensorflow.org/api_docs/python/tf/strings/join) op. tf.strings.reduce_join([['abc','123'], ['def','456']]).numpy() b'abc123def456' tf.strings.reduce_join([['abc','123'], ['def','456']], axis=-1).numpy() array([b'abc123', b'def456'], dtype=object) tf.strings.reduce_join([['abc','123'], ['def','456']], axis=-1, separator=" ").numpy() array([b'abc 123', b'def 456'], dtype=object)


| ## Args || |---|---| | `inputs` | A [`tf.string`](https://www.tensorflow.org/api_docs/python/tf#string) tensor. | | `axis` | Which axis to join along. The default behavior is to join all elements, producing a scalar. | | `keepdims` | If true, retains reduced dimensions with length 1. | | `separator` | a string added between each string being joined. | | `name` | A name for the operation (optional). |



| ## Returns || |---|---| | A [`tf.string`](https://www.tensorflow.org/api_docs/python/tf#string) tensor. ||