tf.raw_ops.ReduceJoin

Joins a string Tensor across the given dimensions.

tf.raw_ops.ReduceJoin(
    inputs, reduction_indices, keep_dims=False, separator='', name=None
)

Computes the string join across dimensions in the given string Tensor of shape [\\(d_0, d_1, ..., d_{n-1}\\)]. Returns a new Tensor created by joining the input strings with the given separator (default: empty string). Negative indices are counted backwards from the end, with -1 being equivalent to n - 1. If indices are not specified, joins across all dimensions beginning from n - 1 through 0.

For example:

# tensor `a` is [["a", "b"], ["c", "d"]]
tf.reduce_join(a, 0) ==> ["ac", "bd"]
tf.reduce_join(a, 1) ==> ["ab", "cd"]
tf.reduce_join(a, -2) = tf.reduce_join(a, 0) ==> ["ac", "bd"]
tf.reduce_join(a, -1) = tf.reduce_join(a, 1) ==> ["ab", "cd"]
tf.reduce_join(a, 0, keep_dims=True) ==> [["ac", "bd"]]
tf.reduce_join(a, 1, keep_dims=True) ==> [["ab"], ["cd"]]
tf.reduce_join(a, 0, separator=".") ==> ["a.c", "b.d"]
tf.reduce_join(a, [0, 1]) ==> "acbd"
tf.reduce_join(a, [1, 0]) ==> "abcd"
tf.reduce_join(a, []) ==> [["a", "b"], ["c", "d"]]
tf.reduce_join(a) = tf.reduce_join(a, [1, 0]) ==> "abcd"

Args:

  • inputs: A Tensor of type string. The input to be joined. All reduced indices must have non-zero size.
  • reduction_indices: A Tensor of type int32. The dimensions to reduce over. Dimensions are reduced in the order specified. Omitting reduction_indices is equivalent to passing [n-1, n-2, ..., 0]. Negative indices from -n to -1 are supported.
  • keep_dims: An optional bool. Defaults to False. If True, retain reduced dimensions with length 1.
  • separator: An optional string. Defaults to "". The separator to use when joining.
  • name: A name for the operation (optional).

Returns:

A Tensor of type string.