6biD hSrSSKJr SSKJr \"S5"SS\55r\"S5S5rg ) z#Layer that averages several inputs.)_Merge) keras_exportzkeras.layers.Averagec\rSrSrSrSrSrg)AverageaQLayer that averages a list of inputs element-wise. It takes as input a list of tensors, all of the same shape, and returns a single tensor (also of the same shape). Example: >>> x1 = np.ones((2, 2)) >>> x2 = np.zeros((2, 2)) >>> y = tf.keras.layers.Average()([x1, x2]) >>> y.numpy().tolist() [[0.5, 0.5], [0.5, 0.5]] Usage in a functional model: >>> input1 = tf.keras.layers.Input(shape=(16,)) >>> x1 = tf.keras.layers.Dense(8, activation='relu')(input1) >>> input2 = tf.keras.layers.Input(shape=(32,)) >>> x2 = tf.keras.layers.Dense(8, activation='relu')(input2) >>> avg = tf.keras.layers.Average()([x1, x2]) >>> out = tf.keras.layers.Dense(4)(avg) >>> model = tf.keras.models.Model(inputs=[input1, input2], outputs=out) Raises: ValueError: If there is a shape mismatch between the inputs and the shapes cannot be broadcasted to match. cnUSn[S[U55H nX!U- nM U[U5- $)Nr)rangelen)selfinputsoutputis ]/home/james-whalen/.local/lib/python3.13/site-packages/tf_keras/src/layers/merging/average.py_merge_functionAverage._merge_function6s;q#f+&A Qi F'F ##N)__name__ __module__ __qualname____firstlineno____doc__r__static_attributes__rrrrrs 8$rrzkeras.layers.averagec $[S0UD6"U5$)awFunctional interface to the `tf.keras.layers.Average` layer. Example: >>> x1 = np.ones((2, 2)) >>> x2 = np.zeros((2, 2)) >>> y = tf.keras.layers.Average()([x1, x2]) >>> y.numpy().tolist() [[0.5, 0.5], [0.5, 0.5]] Usage in a functional model: >>> input1 = tf.keras.layers.Input(shape=(16,)) >>> x1 = tf.keras.layers.Dense(8, activation='relu')(input1) >>> input2 = tf.keras.layers.Input(shape=(32,)) >>> x2 = tf.keras.layers.Dense(8, activation='relu')(input2) >>> avg = tf.keras.layers.Average()([x1, x2]) >>> out = tf.keras.layers.Dense(4)(avg) >>> model = tf.keras.models.Model(inputs=[input1, input2], outputs=out) Args: inputs: A list of input tensors. **kwargs: Standard layer keyword arguments. Returns: A tensor, the average of the inputs. Raises: ValueError: If there is a shape mismatch between the inputs and the shapes cannot be broadcasted to match. r)r)r kwargss raverager=sB  V V $$rN)r&tf_keras.src.layers.merging.base_merger tensorflow.python.util.tf_exportrrrrrrr sP*::$%!$f!$&!$H$% %& %r