o 2h @s@ddlmZddlmZddlmZedGdddeZdS)) activations) keras_export)Layerzkeras.layers.ReLUcs@eZdZdZ d fdd ZddZfdd Zd d ZZS) 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.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 stjdi||dur|dkrtd||dus |dkr'td||dus/|dkr6td|||_||_||_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__ ValueError max_valuenegative_slope thresholdsupports_masking_build_at_init)selfr r r kwargs __class__r\/var/www/html/chatgem/venv/lib/python3.10/site-packages/keras/src/layers/activations/relu.pyr (s0 z ReLU.__init__cCstj||j|j|jdS)N)r r r )rrelur r r )rinputsrrrcallCs z ReLU.callcs&t}||j|j|jd|S)N)r r r )r get_configupdater r r )rconfigrrrrKs zReLU.get_configcCs|S)Nr)r input_shaperrrcompute_output_shapeVszReLU.compute_output_shape)Nrr) __name__ __module__ __qualname____doc__r rrr __classcell__rrrrrs!  rN) keras.srcrkeras.src.api_exportrkeras.src.layers.layerrrrrrrs