# tf.nn.max_pool3d

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.14.0/tensorflow/python/ops/nn_ops.py#L5081-L5121) |

Performs the 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.nn.max_pool3d`](https://www.tensorflow.org/api_docs/python/tf/nn/max_pool3d)

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    tf.nn.max_pool3d(
        input, ksize, strides, padding, data_format='NDHWC', name=None
    )

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| ## Args ||
|---|---|
| `input` | A 5-D `Tensor` of the format specified by `data_format`. |
| `ksize` | An int or list of `ints` that has length `1`, `3` or `5`. The size of the window for each dimension of the input tensor. |
| `strides` | An int or list of `ints` that has length `1`, `3` or `5`. The stride of the sliding window for each dimension of the input tensor. |
| `padding` | A string, either `'VALID'` or `'SAME'`. The padding algorithm. See [here](https://www.tensorflow.org/api_docs/python/tf/nn#notes_on_padding_2) for more information. |
| `data_format` | An optional string from: "NDHWC", "NCDHW". Defaults to "NDHWC". The data format of the input and output data. With the default format "NDHWC", the data is stored in the order of: \[batch, in_depth, in_height, in_width, in_channels\]. Alternatively, the format could be "NCDHW", the data storage order is: \[batch, in_channels, in_depth, in_height, in_width\]. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
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| A `Tensor` of format specified by `data_format`. The max pooled output tensor. ||

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