~WhqxdZddlmZddlmZddlmZddlmZedGddeZ d S) z'Rectified Linear Unit activation layer.)backend)Layer)tf_utils) keras_exportzkeras.layers.ReLUcVeZdZdZ dfd ZdZfdZejdZ xZ S) ReLUaRectified Linear Unit activation function. With default values, it returns element-wise `max(x, 0)`. Otherwise, it follows: ``` f(x) = max_value if x >= max_value f(x) = x if threshold <= x < max_value f(x) = negative_slope * (x - threshold) otherwise ``` Usage: >>> layer = tf.keras.layers.ReLU() >>> output = layer([-3.0, -1.0, 0.0, 2.0]) >>> list(output.numpy()) [0.0, 0.0, 0.0, 2.0] >>> layer = tf.keras.layers.ReLU(max_value=1.0) >>> output = layer([-3.0, -1.0, 0.0, 2.0]) >>> list(output.numpy()) [0.0, 0.0, 0.0, 1.0] >>> layer = tf.keras.layers.ReLU(negative_slope=1.0) >>> output = layer([-3.0, -1.0, 0.0, 2.0]) >>> list(output.numpy()) [-3.0, -1.0, 0.0, 2.0] >>> layer = tf.keras.layers.ReLU(threshold=1.5) >>> output = layer([-3.0, -1.0, 1.0, 2.0]) >>> list(output.numpy()) [0.0, 0.0, 0.0, 2.0] Input shape: Arbitrary. Use the keyword argument `input_shape` (tuple of integers, does not include the batch axis) when using this layer as the first layer in a model. Output shape: Same shape as the input. Args: max_value: Float >= 0. Maximum activation value. Default to None, which means unlimited. negative_slope: Float >= 0. Negative slope coefficient. Default to 0. threshold: Float >= 0. Threshold value for thresholded activation. Default to 0. Nc tjdi|||dkrtd|||dkrtd|||dkrtd|d|_|t j|}||_t j||_t j||_dS)Nr z@max_value of a ReLU layer cannot be a negative value. Received: zEnegative_slope of a ReLU layer cannot be a negative value. Received: z@threshold of a ReLU layer cannot be a negative value. Received: T) super__init__ ValueErrorsupports_maskingrcast_to_floatx max_valuenegative_slope threshold)selfrrrkwargs __class__s b/var/www/html/movieo_spanner_bot/venv/lib/python3.11/site-packages/keras/layers/activation/relu.pyr z ReLU.__init__Ks ""6"""  Y__0$-00   !^c%9%95$255    C0$-00  !%  .y99I"%4^DD / ::cPtj||j|j|jS)N)alpharr)rrelurrr)rinputss rcallz ReLU.callfs0| %nn     rc|j|j|jd}t}t t |t |zS)N)rrr)rrrr get_configdictlistitems)rconfig base_configrs rrzReLU.get_configpsm"1   gg((** D**,,--V\\^^0D0DDEEErc|S)Nr )r input_shapes rcompute_output_shapezReLU.compute_output_shapeysr)Nr r ) __name__ __module__ __qualname____doc__r rrrshape_type_conversionr' __classcell__)rs@rrrs--`=@;;;;;;6   FFFFF#$#rrN) r+kerasrkeras.engine.base_layerr keras.utilsr tensorflow.python.util.tf_exportrrr rrr2s.-)))))) :99999!""`````5``#"```r