# tensorflow::ops::SparseCross Class Reference

# tensorflow::
ops::
SparseCross

`
#include <sparse_ops.h>
`


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

## Summary


The op takes two lists, one of 2D
`
SparseTensor
`
and one of 2D
`
https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor
`
, each representing features of one feature column. It outputs a 2D
`
SparseTensor
`
with the batchwise crosses of these features.


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"]]
```

<br />


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"
```

<br />


if hashed_output=true then the output will be

```
shape = [2, 2]
[0, 0]: FingerprintCat64(
            Fingerprint64("f"), FingerprintCat64(
                Fingerprint64("d"), Fingerprint64("a")))
[1, 0]: FingerprintCat64(
            Fingerprint64("g"), FingerprintCat64(
                Fingerprint64("e"), Fingerprint64("b")))
[1, 1]: FingerprintCat64(
            Fingerprint64("g"), FingerprintCat64(
                Fingerprint64("e"), Fingerprint64("c")))
```

<br />


Args:

- scope: A [Scope](https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object
- indices: 2-D. Indices of each input `
  SparseTensor
  ` .
- values: 1-D. values of each `
  SparseTensor
  ` .
- shapes: 1-D. Shapes of each `
  SparseTensor
  ` .
- dense_inputs: 2-D. Columns represented by dense `
  https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor
  ` .
- hashed_output: If true, returns the hash of the cross instead of the string. This will allow us avoiding string manipulations.
- num_buckets: It is used if hashed_output is true. output = hashed_valuenum_buckets if num_buckets \> 0 else hashed_value.
- hash_key: Specify the hash_key that will be used by the `
  FingerprintCat64
  ` function to combine the crosses fingerprints.

<br />


Returns:

- `
  https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output
  ` output_indices: 2-D. Indices of the concatenated `
  SparseTensor
  ` .
- `
  https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output
  ` output_values: 1-D. Non-empty values of the concatenated or hashed `
  SparseTensor
  ` .
- `
  https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output
  ` output_shape: 1-D. Shape of the concatenated `
  SparseTensor
  ` .

<br />

| ### Constructors and Destructors ||
|---|---|
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/sparse-cross#classtensorflow_1_1ops_1_1_sparse_cross_1aed8888154d0f2d69bb849055ef8805ae (const :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input-list#classtensorflow_1_1_input_list indices, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input-list#classtensorflow_1_1_input_list values, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input-list#classtensorflow_1_1_input_list shapes, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input-list#classtensorflow_1_1_input_list dense_inputs, bool hashed_output, int64 num_buckets, int64 hash_key, DataType out_type, DataType internal_type) ` ||

| ### Public attributes ||
|---|---|
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/sparse-cross#classtensorflow_1_1ops_1_1_sparse_cross_1aa80e22c2b5a8b8c00fdfbed5f6da6e03 ` | ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/sparse-cross#classtensorflow_1_1ops_1_1_sparse_cross_1aff3e5729686b249a84f3047cd2c7b2fa ` | ` :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/sparse-cross#classtensorflow_1_1ops_1_1_sparse_cross_1a168d4af0a9f32f170b7fd033550d0d24 ` | ` :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/sparse-cross#classtensorflow_1_1ops_1_1_sparse_cross_1a811794f95c743d1e8f345356e773447a ` | ` :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output ` |

## Public attributes

### operation

```
Operation operation
```

### output_indices

```
::tensorflow::Output output_indices
```

### output_shape

```
::tensorflow::Output output_shape
```

### output_values

```
::tensorflow::Output output_values
```

## Public functions

### SparseCross

```
 SparseCross(
  const ::tensorflow::Scope & scope,
  ::tensorflow::InputList indices,
  ::tensorflow::InputList values,
  ::tensorflow::InputList shapes,
  ::tensorflow::InputList dense_inputs,
  bool hashed_output,
  int64 num_buckets,
  int64 hash_key,
  DataType out_type,
  DataType internal_type
)
```