Model.stop_training documentation

piliv · September 30, 2021, 7:20pm

Is the Model.stop_training attribute documented anywhere? I’ve been browsing the API doc for the Model class incl. parent and child classes, but haven’t managed to find it.

balaji.ambresh · October 3, 2021, 6:58am

Does this help?

github.com

keras-team/keras/blob/master/keras/engine/training.py#L1247

    
      
                  epoch_num=epoch,
                  step_num=step,
                  batch_size=batch_size,
                  _r=1):
                callbacks.on_train_batch_begin(step)
                tmp_logs = self.train_function(iterator)
                if data_handler.should_sync:
                  context.async_wait()
                logs = tmp_logs  # No error, now safe to assign to logs.
                end_step = step + data_handler.step_increment
                callbacks.on_train_batch_end(end_step, logs)
                if self.stop_training:
                  break
          
          
logs = tf_utils.sync_to_numpy_or_python_type(logs)
          if logs is None:
            raise ValueError('Unexpected result of `train_function` '
                             '(Empty logs). Please use '
                             '`Model.compile(..., run_eagerly=True)`, or '
                             '`tf.config.run_functions_eagerly(True)` for more '
                             'information of where went wrong, or file a '

piliv · October 4, 2021, 6:13pm

That helps Thanks for the pointer!

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Model.stop_training documentation

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