Generates feature cross from a list of tensors.
Compat aliases for migration
See Migration guide for more details.
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']]>
| || A list of |
| ||Optional name for the op.|
| A 2D |
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Code samples licensed under the Apache 2.0 License.