tf.layers.average_pooling3d(inputs, pool_size, strides, padding='valid', data_format='channels_last', name=None)

tf.layers.average_pooling3d(inputs, pool_size, strides, padding='valid', data_format='channels_last', name=None)

Average pooling layer for 3D inputs (e.g. volumes).

Arguments:

• inputs: The tensor over which to pool. Must have rank 5.
• pool_size: An integer or tuple/list of 3 integers: (pool_depth, pool_height, pool_width) specifying the size of the pooling window. Can be a single integer to specify the same value for all spatial dimensions.
• strides: An integer or tuple/list of 3 integers, specifying the strides of the pooling operation. Can be a single integer to specify the same value for all spatial dimensions.
• padding: A string. The padding method, either 'valid' or 'same'. Case-insensitive.
• data_format: A string. The ordering of the dimensions in the inputs. channels_last (default) and channels_first are supported. channels_last corresponds to inputs with shape (batch, depth, height, width, channels) while channels_first corresponds to inputs with shape (batch, channels, depth, height, width).
• name: A string, the name of the layer.

Returns:

Output tensor.

Defined in tensorflow/python/layers/pooling.py.