tf.compat.v1.reduce_join

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Joins all strings into a single string, or joins along an axis.

Aliases:

tf.compat.v1.reduce_join(
    inputs,
    axis=None,
    keep_dims=None,
    separator='',
    name=None,
    reduction_indices=None,
    keepdims=None
)
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 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 tensor.