# tf.raw_ops.AvgPool

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Performs average pooling on the input.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.AvgPool(
        value, ksize, strides, padding, data_format='NHWC', name=None
    )

Each entry in `output` is the mean of the corresponding size `ksize`
window in `value`.

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| ## Args ||
|---|---|
| `value` | A `Tensor`. Must be one of the following types: `half`, `bfloat16`, `float32`, `float64`. 4-D with shape `[batch, height, width, channels]`. |
| `ksize` | A list of `ints` that has length `>= 4`. The size of the sliding window for each dimension of `value`. |
| `strides` | A list of `ints` that has length `>= 4`. The stride of the sliding window for each dimension of `value`. |
| `padding` | A `string` from: `"SAME", "VALID"`. The type of padding algorithm to use. |
| `data_format` | An optional `string` from: `"NHWC", "NCHW"`. Defaults to `"NHWC"`. Specify the data format of the input and output data. With the default format "NHWC", the data is stored in the order of: \[batch, in_height, in_width, in_channels\]. Alternatively, the format could be "NCHW", the data storage order of: \[batch, in_channels, in_height, in_width\]. |
| `name` | A name for the operation (optional). |

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

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