o i e' @sJdZddlmZddlmZddlmZeddGdddeZeZd S) z Global average pooling 2D layer.)backend)GlobalPooling2D) keras_exportz#keras.layers.GlobalAveragePooling2Dzkeras.layers.GlobalAvgPool2Dc@seZdZdZddZdS)GlobalAveragePooling2DaGlobal average pooling operation for spatial data. Examples: >>> input_shape = (2, 4, 5, 3) >>> x = tf.random.normal(input_shape) >>> y = tf.keras.layers.GlobalAveragePooling2D()(x) >>> print(y.shape) (2, 3) Args: 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, height, width, channels)` while `channels_first` corresponds to inputs with shape `(batch, channels, height, width)`. When unspecified, uses `image_data_format` value found in your Keras config file at `~/.keras/keras.json` (if exists) else 'channels_last'. Defaults to 'channels_last'. keepdims: A boolean, whether to keep the spatial dimensions or not. If `keepdims` is `False` (default), the rank of the tensor is reduced for spatial dimensions. If `keepdims` is `True`, the spatial dimensions are retained with length 1. The behavior is the same as for `tf.reduce_mean` or `np.mean`. Input shape: - If `data_format='channels_last'`: 4D tensor with shape `(batch_size, rows, cols, channels)`. - If `data_format='channels_first'`: 4D tensor with shape `(batch_size, channels, rows, cols)`. Output shape: - If `keepdims`=False: 2D tensor with shape `(batch_size, channels)`. - If `keepdims`=True: - If `data_format='channels_last'`: 4D tensor with shape `(batch_size, 1, 1, channels)` - If `data_format='channels_first'`: 4D tensor with shape `(batch_size, channels, 1, 1)` cCs6|jdkrtj|ddg|jdStj|ddg|jdS)N channels_last)axiskeepdims) data_formatrmeanr )selfinputsr`/var/www/myenv/lib/python3.10/site-packages/keras/src/layers/pooling/global_average_pooling2d.pycallIs zGlobalAveragePooling2D.callN)__name__ __module__ __qualname____doc__rrrrrrs ,rN) r keras.srcr.keras.src.layers.pooling.base_global_pooling2dr tensorflow.python.util.tf_exportrrGlobalAvgPool2Drrrrs   6