Update m1_tf_test.py

m1_tf_test.py

@@ -26,6 +26,10 @@ class ComputeSum(Layer):
       self.total.assign_add(tf.reduce_sum(inputs, axis=0))
       return self.total
 
+    def Build_Tree(self, data, depth = 0):
+        n = len(data)
+        return n
+
 def ComputeSumModel(input_shape):
     inputs = Input(shape = input_shape)
     outputs = ComputeSum(input_shape[0])(inputs)
@@ -88,7 +92,7 @@ model.compile(optimizer='adam',
  loss=loss_fn,
  metrics=['accuracy'])
 these = model.fit(x_train, y_train, epochs=10)
-that = ComputeSum(len(these))
+that = ComputeSum.Build_Tree(these)
 those = that(these)
 outputs = tf.keras.layers.Dense(4, activation='softmax', name='predictions')(those)
 model = ComputeSumModel((tf.shape(these)[1],))