删除eval多余的参数

tools/program.py

@@ -231,7 +231,7 @@ def train(config,
             if global_step > start_eval_step and \
                     (global_step - start_eval_step) % eval_batch_step == 0 and dist.get_rank() == 0:
                 cur_metirc = eval(model, valid_dataloader, post_process_class,
-                                  eval_class, logger, print_batch_step)
+                                  eval_class)
                 cur_metirc_str = 'cur metirc, {}'.format(', '.join(
                     ['{}: {}'.format(k, v) for k, v in cur_metirc.items()]))
                 logger.info(cur_metirc_str)
@@ -293,8 +293,7 @@ def train(config,
     return
 
 
-def eval(model, valid_dataloader, post_process_class, eval_class, logger,
-         print_batch_step):
+def eval(model, valid_dataloader, post_process_class, eval_class):
     model.eval()
     with paddle.no_grad():
         total_frame = 0.0
@@ -315,9 +314,6 @@ def eval(model, valid_dataloader, post_process_class, eval_class, logger,
             eval_class(post_result, batch)
             pbar.update(1)
             total_frame += len(images)
-            # if idx % print_batch_step == 0 and dist.get_rank() == 0:
-            #     logger.info('tackling images for eval: {}/{}'.format(
-            #         idx, len(valid_dataloader)))
         # Get final metirc，eg. acc or hmean
         metirc = eval_class.get_metric()