# tf.raw_ops.Mul

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Returns x \* y element-wise.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.Mul(
        x, y, name=None
    )

> [!NOTE]
> **Note:** `Multiply` supports broadcasting. More about broadcasting [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)

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| ## Args ||
|---|---|
| `x` | A `Tensor`. Must be one of the following types: `bfloat16`, `half`, `float32`, `float64`, `uint8`, `int8`, `uint16`, `int16`, `int32`, `uint32`, `uint64`, `int64`, `complex64`, `complex128`. |
| `y` | A `Tensor`. Must have the same type as `x`. |
| `name` | A name for the operation (optional). |

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

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