tf.ragged.cross
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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.
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.ragged.cross\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.16.1/tensorflow/python/ops/ragged/ragged_array_ops.py#L741-L765) |\n\nGenerates feature cross from a list of tensors.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.ragged.cross`](https://www.tensorflow.org/api_docs/python/tf/ragged/cross)\n\n\u003cbr /\u003e\n\n tf.ragged.cross(\n inputs, name=None\n )\n\nThe input tensors must have `rank=2`, and must all have the same number of\nrows. The result is a `RaggedTensor` with the same number of rows as the\ninputs, where `result[row]` contains a list of all combinations of values\nformed by taking a single value from each input's corresponding row\n(`inputs[i][row]`). Values are combined by joining their strings with '*X*'.\nE.g.: \n\n tf.ragged.cross([tf.ragged.constant([['a'], ['b', 'c']]),\n tf.ragged.constant([['d'], ['e']]),\n tf.ragged.constant([['f'], ['g']])])\n \u003ctf.RaggedTensor [[b'a_X_d_X_f'], [b'b_X_e_X_g', b'c_X_e_X_g']]\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------|---------------------------------------------------------|\n| `inputs` | A list of `RaggedTensor` or `Tensor` or `SparseTensor`. |\n| `name` | Optional name for the op. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A 2D `RaggedTensor` of type `string`. ||\n\n\u003cbr /\u003e"]]
View source on GitHub