tf.ragged.cross

Generates feature cross from a list of tensors.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.ragged.cross

tf.ragged.cross(
    inputs, name=None
)

The input tensors must have rank=2, and must all have the same number of rows. The result is a RaggedTensor with the same number of rows as the inputs, where result[row] contains a list of all combinations of values formed by taking a single value from each input's corresponding row (inputs[i][row]). Values are combined by joining their strings with 'X'. E.g.:

tf.ragged.cross([tf.ragged.constant([['a'], ['b', 'c']]),
                 tf.ragged.constant([['d'], ['e']]),
                 tf.ragged.constant([['f'], ['g']])])
<tf.RaggedTensor [[b'a_X_d_X_f'], [b'b_X_e_X_g', b'c_X_e_X_g']]>

Args
inputs	A list of RaggedTensor or Tensor or SparseTensor.
name	Optional name for the op.

Returns
A 2D RaggedTensor of type string.