&Vfn hddlmZddlmZddlmZedGddeZdS)) activations) keras_export)Layerzkeras.layers.ReLUc<eZdZdZ dfd ZdZfdZdZxZS) ReLUaRectified Linear Unit activation function layer. Formula: ``` python f(x) = max(x,0) f(x) = max_value if x >= max_value f(x) = x if threshold <= x < max_value f(x) = negative_slope * (x - threshold) otherwise ``` Example: ``` python relu_layer = keras.layers.activations.ReLU( max_value=10, negative_slope=0.5, threshold=0, ) input = np.array([-10, -5, 0.0, 5, 10]) result = relu_layer(input) # result = [-5. , -2.5, 0. , 5. , 10.] ``` Args: max_value: Float >= 0. Maximum activation value. None means unlimited. Defaults to `None`. negative_slope: Float >= 0. Negative slope coefficient. Defaults to `0.0`. threshold: Float >= 0. Threshold value for thresholded activation. Defaults to `0.0`. **kwargs: Base layer keyword arguments, such as `name` and `dtype`. Nc tjdi|||dkrtd|||dkrtd|||dkrtd|d|_||_||_||_dS)NrzJmax_value of a ReLU layer cannot be a negative value. Received: max_value=zTnegative_slope of a ReLU layer cannot be a negative value. Received: negative_slope=zJthreshold of a ReLU layer cannot be a negative value. Received: threshold=T)super__init__ ValueErrorsupports_masking max_valuenegative_slope threshold)selfrrrkwargs __class__s ^/var/www/html/software/conda/lib/python3.11/site-packages/keras/src/layers/activations/relu.pyr z ReLU.__init__(s ""6"""  Y__:.7::   !^c%9%9D3ADD    C:.7::  !%","cPtj||j|j|jS)N)rrr)rrelurrr)rinputss rcallz ReLU.callAs/ .nn     rct}||j|j|jd|S)N)rrr)r get_configupdaterrr)rconfigrs rrzReLU.get_configIsO##%% !^"&"5!^      rc|S)Nr )r input_shapes rcompute_output_shapezReLU.compute_output_shapeTsr)Nrr) __name__ __module__ __qualname____doc__r rrr! __classcell__)rs@rrrsB=@######2        rrN) keras.srcrkeras.src.api_exportrkeras.src.layers.layerrrr rrr*s!!!!!!------((((((!""NNNNN5NN#"NNNr