tf.compat.v1.reduce_join | TensorFlow v2.16.1 (original) (raw)
tf.compat.v1.reduce_join
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Joins all strings into a single string, or joins along an axis.
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Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.strings.reduce_join
tf.compat.v1.reduce_join(
inputs,
axis=None,
keep_dims=None,
separator='',
name=None,
reduction_indices=None,
keepdims=None
)
This is the reduction operation for the elementwise 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 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. |