BVhIdZddlZddlmZddlmZGddejejZ ddZ Gdd ejejZ dd Z Gd d ejejZ dd Z GddejejZ ddZGddej ejZ ddZGddej$ejZ ddZe ZeZeZe Zy)z@Contains the pooling layer classes and their functional aliases.N)layers)basec(eZdZdZ dfd ZxZS)AveragePooling1DaAverage Pooling layer for 1D inputs. Args: pool_size: An integer or tuple/list of a single integer, representing the size of the pooling window. strides: An integer or tuple/list of a single integer, specifying the strides of the pooling operation. padding: A string. The padding method, either 'valid' or 'same'. Case-insensitive. data_format: A string, one of `channels_last` (default) or `channels_first`. The ordering of the dimensions in the inputs. `channels_last` corresponds to inputs with shape `(batch, length, channels)` while `channels_first` corresponds to inputs with shape `(batch, channels, length)`. name: A string, the name of the layer. c R| tdtt|d|||||d|yNz$Argument `strides` must not be None. pool_sizestridespadding data_formatname) ValueErrorsuperr__init__selfr r r r rkwargs __class__s `/home/dcms/DCMS/lib/python3.12/site-packages/tensorflow/python/keras/legacy_tf_layers/pooling.pyrzAveragePooling1D.__init__)sD = >> D*    valid channels_lastN__name__ __module__ __qualname____doc__r __classcell__rs@rrr$-<  rrcntjdt|||||}|j|S)axAverage Pooling layer for 1D inputs. Args: inputs: The tensor over which to pool. Must have rank 3. pool_size: An integer or tuple/list of a single integer, representing the size of the pooling window. strides: An integer or tuple/list of a single integer, specifying the strides of the pooling operation. padding: A string. The padding method, either 'valid' or 'same'. Case-insensitive. 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, length, channels)` while `channels_first` corresponds to inputs with shape `(batch, channels, length)`. name: A string, the name of the layer. Returns: The output tensor, of rank 3. Raises: ValueError: if eager execution is enabled. z`tf.layers.average_pooling1d` is deprecated and will be removed in a future version. Please use `tf.keras.layers.AveragePooling1D` instead.r )warningswarnrapplyinputsr r r r rlayers raverage_pooling1dr+7sB4 --IJ Y#*#*'2 $  &% V rc(eZdZdZ dfd ZxZS) MaxPooling1DaMax Pooling layer for 1D inputs. Args: pool_size: An integer or tuple/list of a single integer, representing the size of the pooling window. strides: An integer or tuple/list of a single integer, specifying the strides of the pooling operation. padding: A string. The padding method, either 'valid' or 'same'. Case-insensitive. 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, length, channels)` while `channels_first` corresponds to inputs with shape `(batch, channels, length)`. name: A string, the name of the layer. c R| tdtt|d|||||d|yr)rrr-rrs rrzMaxPooling1D.__init__nsC = >> ,&    rrrr"s@rr-r-\r#rr-cntjdt|||||}|j|S)atMax Pooling layer for 1D inputs. Args: inputs: The tensor over which to pool. Must have rank 3. pool_size: An integer or tuple/list of a single integer, representing the size of the pooling window. strides: An integer or tuple/list of a single integer, specifying the strides of the pooling operation. padding: A string. The padding method, either 'valid' or 'same'. Case-insensitive. 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, length, channels)` while `channels_first` corresponds to inputs with shape `(batch, channels, length)`. name: A string, the name of the layer. Returns: The output tensor, of rank 3. Raises: ValueError: if eager execution is enabled. z`tf.layers.max_pooling1d` is deprecated and will be removed in a future version. Please use `tf.keras.layers.MaxPooling1D` instead.r )r%r&r-r'r(s r max_pooling1dr0|sB4 --EF &&#.  "% V rc(eZdZdZ dfd ZxZS)AveragePooling2DaAverage pooling layer for 2D inputs (e.g. images). Args: pool_size: An integer or tuple/list of 2 integers: (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 2 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, height, width, channels)` while `channels_first` corresponds to inputs with shape `(batch, channels, height, width)`. name: A string, the name of the layer. c R| tdtt|d|||||d|yr)rrr2rrs rrzAveragePooling2D.__init__B = >> D*GW[tG?EGrrrr"s@rr2r2,-<GGrr2cntjdt|||||}|j|S)aMAverage pooling layer for 2D inputs (e.g. images). Args: inputs: The tensor over which to pool. Must have rank 4. pool_size: An integer or tuple/list of 2 integers: (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 2 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, height, width, channels)` while `channels_first` corresponds to inputs with shape `(batch, channels, height, width)`. name: A string, the name of the layer. Returns: Output tensor. Raises: ValueError: if eager execution is enabled. z`tf.layers.average_pooling2d` is deprecated and will be removed in a future version. Please use `tf.keras.layers.AveragePooling2D` instead.r )r%r&r2r'r(s raverage_pooling2dr7s@> --IJ Y#* $ &% V rc(eZdZdZ dfd ZxZS) MaxPooling2DaMax pooling layer for 2D inputs (e.g. images). Args: pool_size: An integer or tuple/list of 2 integers: (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 2 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, height, width, channels)` while `channels_first` corresponds to inputs with shape `(batch, channels, height, width)`. name: A string, the name of the layer. c R| tdtt|d|||||d|yr)rrr9rrs rrzMaxPooling2D.__init__A = >> ,&GW[tG?EGrrrr"s@rr9r9r5rr9cntjdt|||||}|j|S)aIMax pooling layer for 2D inputs (e.g. images). Args: inputs: The tensor over which to pool. Must have rank 4. pool_size: An integer or tuple/list of 2 integers: (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 2 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, height, width, channels)` while `channels_first` corresponds to inputs with shape `(batch, channels, height, width)`. name: A string, the name of the layer. Returns: Output tensor. Raises: ValueError: if eager execution is enabled. z`tf.layers.max_pooling2d` is deprecated and will be removed in a future version. Please use `tf.keras.layers.MaxPooling2D` instead.r )r%r&r9r'r(s r max_pooling2dr= @> --EF G&K  "% V rc(eZdZdZ dfd ZxZS)AveragePooling3DaAverage pooling layer for 3D inputs (e.g. volumes). Args: 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. c R| tdtt|d|||||d|yr)rrr@rrs rrzAveragePooling3D.__init__Ir4rrrr"s@rr@r@10-<GGrr@cntjdt|||||}|j|S)atAverage pooling layer for 3D inputs (e.g. volumes). Args: 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. Raises: ValueError: if eager execution is enabled. z`tf.layers.average_pooling3d` is deprecated and will be removed in a future version. Please use `tf.keras.layers.AveragePooling3D` instead.r )r%r&r@r'r(s raverage_pooling3drDSsAB --IJ Y#* $ &% V rc(eZdZdZ dfd ZxZS) MaxPooling3DaMax pooling layer for 3D inputs (e.g. volumes). Args: 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. c R| tdtt|d|||||d|yr)rrrFrrs rrzMaxPooling3D.__init__r;rrrr"s@rrFrF}rBrrFcntjdt|||||}|j|S)a[Max pooling layer for 3D inputs (e.g. volumes). Args: 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. Raises: ValueError: if eager execution is enabled. z`tf.layers.max_pooling3d` is deprecated and will be removed in a future version. Please use `tf.keras.layers.MaxPooling3D` instead.r )r%r&rFr'r(s r max_pooling3drIr>rr)r r%tensorflow.python.kerasr keras_layers(tensorflow.python.keras.legacy_tf_layersrrLayerr+r-r0r2r7r9r=r@rDrFrI AvgPool2D MaxPool2D max_pool2d avg_pool2drrrrRs G:9|44djjB4C"J<,,djjB0?"JG|44djjGD4C%PG<,,djjGD0?%PG|44djjGH4C'TG<,,djjGH0?%R     r