Fixed bug tto check if log_writer is not None before calling log_model

tools/program.py

@@ -380,6 +380,7 @@ def train(config,
                 epoch=epoch,
                 global_step=global_step)
 
+            if log_writer is not None:
                 log_writer.log_model(is_best=False, prefix="latest")
 
         if dist.get_rank() == 0 and epoch > 0 and epoch % save_epoch_step == 0:
@@ -394,7 +395,7 @@ def train(config,
                 best_model_dict=best_model_dict,
                 epoch=epoch,
                 global_step=global_step)
-
+            if log_writer is not None:
                 log_writer.log_model(is_best=False, prefix='iter_epoch_{}'.format(epoch))
 
     best_str = 'best metric, {}'.format(', '.join(