# tf.raw_ops.SparseDenseCwiseMul

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Component-wise multiplies a SparseTensor by a dense Tensor.

#### View aliases


**Compat aliases for migration**

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

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

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

The output locations corresponding to the implicitly zero elements in the sparse
tensor will be zero (i.e., will not take up storage space), regardless of the
contents of the dense tensor (even if it's +/-INF and that INF\*0 == NaN).

*Limitation*: this Op only broadcasts the dense side to the sparse side, but not
the other direction.

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| ## 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). |

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

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