remove unused commented code

architectures/tensorflow_components/architecture.py

@@ -321,22 +321,6 @@ class TensorFlowArchitecture(Architecture):
 
         return output
 
-    # def train_on_batch(self, inputs, targets, scaler=1., additional_fetches=None):
-    #     """
-    #     Given a batch of examples and targets, runs a forward pass & backward pass and then applies the gradients
-    #     :param additional_fetches: Optional tensors to fetch during the training process
-    #     :param inputs: The input for the network
-    #     :param targets: The targets corresponding to the input batch
-    #     :param scaler: A scaling factor that allows rescaling the gradients before applying them
-    #     :return: The loss of the network
-    #     """
-    #     if additional_fetches is None:
-    #         additional_fetches = []
-    #     force_list(additional_fetches)
-    #     loss = self.accumulate_gradients(inputs, targets, additional_fetches=additional_fetches)
-    #     self.apply_and_reset_gradients(self.accumulated_gradients, scaler)
-    #     return loss
-
     def get_weights(self):
         """
         :return: a list of tensors containing the network weights for each layer