# tf.raw_ops.QuantizedMul

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Returns x \* y element-wise, working on quantized buffers.

#### View aliases


**Compat aliases for migration**

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

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

<br />

    tf.raw_ops.QuantizedMul(
        x,
        y,
        min_x,
        max_x,
        min_y,
        max_y,
        Toutput=https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/dtypes#qint32,
        name=None
    )

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<br />

<br />

| ## Args ||
|---|---|
| `x` | A `Tensor`. Must be one of the following types: `qint8`, `quint8`, `qint32`, `qint16`, `quint16`. |
| `y` | A `Tensor`. Must be one of the following types: `qint8`, `quint8`, `qint32`, `qint16`, `quint16`. |
| `min_x` | A `Tensor` of type `float32`. The float value that the lowest quantized `x` value represents. |
| `max_x` | A `Tensor` of type `float32`. The float value that the highest quantized `x` value represents. |
| `min_y` | A `Tensor` of type `float32`. The float value that the lowest quantized `y` value represents. |
| `max_y` | A `Tensor` of type `float32`. The float value that the highest quantized `y` value represents. |
| `Toutput` | An optional [`tf.DType`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/dtypes/DType) from: `tf.qint8, tf.quint8, tf.qint32, tf.qint16, tf.quint16`. Defaults to [`tf.qint32`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf#qint32). |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A tuple of `Tensor` objects (z, min_z, max_z). ||
| `z` | A `Tensor` of type `Toutput`. |
| `min_z` | A `Tensor` of type `float32`. |
| `max_z` | A `Tensor` of type `float32`. |

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