~Wh< dZddlmZddlmZedGddeZeddZd S) z#Layer that averages several inputs.)_Merge) keras_exportzkeras.layers.AverageceZdZdZdZdS)AverageaLayer 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. c|d}tdt|D] }|||z }|t|z S)Nr)rangelen)selfinputsoutputis b/var/www/html/movieo_spanner_bot/venv/lib/python3.11/site-packages/keras/layers/merging/average.py_merge_functionzAverage._merge_function6sKq#f++&&  A fQi FFF ##N)__name__ __module__ __qualname____doc__rrrrrs-8$$$$$rrzkeras.layers.averagec ,tdi||S)aFunctional interface to the `tf.keras.layers.Average` layer. Example: >>> x1 = np.ones((2, 2)) >>> x2 = np.zeros((2, 2)) >>> y = tf.keras.layers.Average()([x1, x2]) >>> y.numpy().tolist() [[0.5, 0.5], [0.5, 0.5]] Usage in a functional model: >>> input1 = tf.keras.layers.Input(shape=(16,)) >>> x1 = tf.keras.layers.Dense(8, activation='relu')(input1) >>> input2 = tf.keras.layers.Input(shape=(32,)) >>> x2 = tf.keras.layers.Dense(8, activation='relu')(input2) >>> avg = tf.keras.layers.Average()([x1, x2]) >>> out = tf.keras.layers.Dense(4)(avg) >>> model = tf.keras.models.Model(inputs=[input1, input2], outputs=out) Args: inputs: A list of input tensors. **kwargs: Standard layer keyword arguments. Returns: A tensor, the average of the inputs. Raises: ValueError: If there is a shape mismatch between the inputs and the shapes cannot be broadcasted to match. r)r)r kwargss raverager=s#B 7  V  V $ $$rN)rkeras.layers.merging.base_merger tensorflow.python.util.tf_exportrrrrrrrs*)322222:99999$%%!$!$!$!$!$f!$!$&%!$H$%% % %&% % % %r