# tf.raw_ops.QuantizedAvgPool

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Produces the average pool of the input tensor for quantized types.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.QuantizedAvgPool(
        input, min_input, max_input, ksize, strides, padding, name=None
    )

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| ## Args ||
|---|---|
| `input` | A `Tensor`. Must be one of the following types: `qint8`, `quint8`, `qint32`, `qint16`, `quint16`. 4-D with shape `[batch, height, width, channels]`. |
| `min_input` | A `Tensor` of type `float32`. The float value that the lowest quantized input value represents. |
| `max_input` | A `Tensor` of type `float32`. The float value that the highest quantized input value represents. |
| `ksize` | A list of `ints`. The size of the window for each dimension of the input tensor. The length must be 4 to match the number of dimensions of the input. |
| `strides` | A list of `ints`. The stride of the sliding window for each dimension of the input tensor. The length must be 4 to match the number of dimensions of the input. |
| `padding` | A `string` from: `"SAME", "VALID"`. The type of padding algorithm to use. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A tuple of `Tensor` objects (output, min_output, max_output). ||
| `output` | A `Tensor`. Has the same type as `input`. |
| `min_output` | A `Tensor` of type `float32`. |
| `max_output` | A `Tensor` of type `float32`. |

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