Generates feature cross from a list of tensors.
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.
|
View source on GitHub