# tf.raw_ops.SparseDenseCwiseAdd

<br />

Adds up a SparseTensor and a dense Tensor, using these special rules:

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.SparseDenseCwiseAdd`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/SparseDenseCwiseAdd)

<br />

    tf.raw_ops.SparseDenseCwiseAdd(
        sp_indices, sp_values, sp_shape, dense, name=None
    )

(1) Broadcasts the dense side to have the same shape as the sparse side, if
eligible;
(2) Then, only the dense values pointed to by the indices of the SparseTensor
participate in the cwise addition.

By these rules, the result is a logical SparseTensor with exactly the same
indices and shape, but possibly with different non-zero values. The output of
this Op is the resultant non-zero values.

<br />

<br />

<br />

| ## Args ||
|---|---|
| `sp_indices` | A `Tensor` of type `int64`. 2-D. `N x R` matrix with the indices of non-empty values in a SparseTensor, possibly not in canonical ordering. |
| `sp_values` | A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `uint8`, `int16`, `int8`, `complex64`, `int64`, `qint8`, `quint8`, `qint32`, `bfloat16`, `qint16`, `quint16`, `uint16`, `complex128`, `half`, `uint32`, `uint64`. 1-D. `N` non-empty values corresponding to `sp_indices`. |
| `sp_shape` | A `Tensor` of type `int64`. 1-D. Shape of the input SparseTensor. |
| `dense` | A `Tensor`. Must have the same type as `sp_values`. `R`-D. The dense Tensor operand. |
| `name` | A name for the operation (optional). |

<br />

<br />

<br />

<br />

| ## Returns ||
|---|---|
| A `Tensor`. Has the same type as `sp_values`. ||

<br />