# tf.keras.layers.GlobalAveragePooling3D

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| [![](https://www.tensorflow.org/images/tf_logo_32px.png) TensorFlow 1 version](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/keras/layers/GlobalAveragePooling3D) | [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.0.0/tensorflow/python/keras/layers/pooling.py#L802-L833) |

Global Average pooling operation for 3D data.

#### View aliases


**Main aliases**

[`tf.keras.layers.GlobalAvgPool3D`](https://www.tensorflow.org/api_docs/python/tf/keras/layers/GlobalAveragePooling3D)
**Compat aliases for migration**

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

[`tf.compat.v1.keras.layers.GlobalAveragePooling3D`](https://www.tensorflow.org/api_docs/python/tf/keras/layers/GlobalAveragePooling3D), [`tf.compat.v1.keras.layers.GlobalAvgPool3D`](https://www.tensorflow.org/api_docs/python/tf/keras/layers/GlobalAveragePooling3D)

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    tf.keras.layers.GlobalAveragePooling3D(
        data_format=None, **kwargs
    )

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| ## Arguments ||
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| `data_format` | A string, one of `channels_last` (default) or `channels_first`. The ordering of the dimensions in the inputs. `channels_last` corresponds to inputs with shape `(batch, spatial_dim1, spatial_dim2, spatial_dim3, channels)` while `channels_first` corresponds to inputs with shape `(batch, channels, spatial_dim1, spatial_dim2, spatial_dim3)`. It defaults to the `image_data_format` value found in your Keras config file at `~/.keras/keras.json`. If you never set it, then it will be "channels_last". |

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#### Input shape:

- If `data_format='channels_last'`: 5D tensor with shape: `(batch_size, spatial_dim1, spatial_dim2, spatial_dim3, channels)`
- If `data_format='channels_first'`: 5D tensor with shape: `(batch_size, channels, spatial_dim1, spatial_dim2, spatial_dim3)`

#### Output shape:

2D tensor with shape `(batch_size, channels)`.