# tf.raw_ops.MaxPoolV2

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Performs max 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.MaxPoolV2`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/MaxPoolV2)

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    tf.raw_ops.MaxPoolV2(
        input, ksize, strides, padding, data_format='NHWC', name=None
    )

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| ## Args ||
|---|---|
| `input` | A `Tensor`. Must be one of the following types: `half`, `bfloat16`, `float32`, `float64`, `int32`, `int64`, `uint8`, `int16`, `int8`, `uint16`, `qint8`. 4-D input to pool over. |
| `ksize` | A `Tensor` of type `int32`. The size of the window for each dimension of the input tensor. |
| `strides` | A `Tensor` of type `int32`. The stride of the sliding window for each dimension of the input tensor. |
| `padding` | A `string` from: `"SAME", "VALID"`. The type of padding algorithm to use. |
| `data_format` | An optional `string` from: `"NHWC", "NCHW", "NCHW_VECT_C"`. 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 `input`. ||

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