tf.sparse.cross

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Generates sparse cross from a list of sparse and dense tensors.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.sparse.cross

tf.sparse.cross(
    inputs, name=None, separator=None
)

For example, if the inputs are

* inputs[0]: SparseTensor with shape = [2, 2]
  [0, 0]: "a"
  [1, 0]: "b"
  [1, 1]: "c"
* inputs[1]: SparseTensor with shape = [2, 1]
  [0, 0]: "d"
  [1, 0]: "e"
* inputs[2]: Tensor [["f"], ["g"]]

then the output will be:

shape = [2, 2]
[0, 0]: "a_X_d_X_f"
[1, 0]: "b_X_e_X_g"
[1, 1]: "c_X_e_X_g"

Customized separator "Y":

inp_0 = tf.constant([['a'], ['b']])
inp_1 = tf.constant([['c'], ['d']])
output = tf.sparse.cross([inp_0, inp_1], separator='_Y_')
output.values
<tf.Tensor: shape=(2,), dtype=string, numpy=array([b'a_Y_c', b'b_Y_d'],
  dtype=object)>

Args
inputs	An iterable of Tensor or SparseTensor.
name	Optional name for the op.
separator	A string added between each string being joined. Defaults to 'X'.

Returns
A SparseTensor of type string.