6bidSrSSKJr SSKJr SSKJr SSKJr \"S5"SS\55r g ) z'Rectified Linear Unit activation layer.)backend)Layer)tf_utils) keras_exportzkeras.layers.ReLUch^\rSrSrSrSU4SjjrSrU4Sjr\RS5r Sr U=r $) ReLUa=Rectified 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. None means unlimited. Defaults to `None`. negative_slope: Float >= 0. Negative slope coefficient. Defaults to `0.`. threshold: Float >= 0. Threshold value for thresholded activation. Defaults to `0.`. c h>[TU]"S0UD6 UbUS:a[SU35eUbUS:a[SU35eUbUS:a[SU35eSUlUb[R "U5nXl[R "U5Ul[R "U5Ulg)Nz@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 ]/home/james-whalen/.local/lib/python3.13/site-packages/tf_keras/src/layers/activation/relu.pyr ReLU.__init__Ls "6"  Y_$$-;0   !^c%9$$2#35    C$$-;0  !%  ..y9I"%44^D // :cl[R"UURURURS9$)N)alpharr)rrelurrr)rinputss rcall ReLU.callgs/|| %%nnnn   rc>URURURS.n[TU]5n[ [ UR55[ UR55-5$)N)rrr)rrrr get_configdictlistitems)rconfig base_configrs rr"ReLU.get_configqsY"11  g(* D**,-V\\^0DDEErcU$)Nr )r input_shapes rcompute_output_shapeReLU.compute_output_shapezsr)rrrr)Nr r ) __name__ __module__ __qualname____firstlineno____doc__rrr"rshape_type_conversionr+__static_attributes__ __classcell__)rs@rrrs9.b=@;6 F##$rrN) r1 tf_keras.srcrtf_keras.src.engine.base_layerrtf_keras.src.utilsr tensorflow.python.util.tf_exportrrr rrr9s>.!0':!"a5a#ar