add print

model_zoo/official/cv/lenet/eval.py

@@ -36,7 +36,7 @@ def modelarts_process():
 
 @moxing_wrapper(pre_process=modelarts_process)
 def eval_lenet():
-
+    print('eval with config: ', config)
     context.set_context(mode=context.GRAPH_MODE, device_target=config.device_target)
 
     network = LeNet5(config.num_classes)

model_zoo/official/cv/lenet/export.py

@@ -33,6 +33,7 @@ def modelarts_process():
 
 @moxing_wrapper(pre_process=modelarts_process)
 def export_lenet():
+    print('export with config: ', config)
     # define fusion network
     network = LeNet5(config.num_classes)
     # load network checkpoint

model_zoo/official/cv/lenet/train.py

@@ -40,7 +40,7 @@ def modelarts_pre_process():
 
 @moxing_wrapper(pre_process=modelarts_pre_process)
 def train_lenet():
-
+    print('train with config: ', config)
     context.set_context(mode=context.GRAPH_MODE, device_target=config.device_target)
     ds_train = create_dataset(os.path.join(config.data_path, "train"), config.batch_size)
     if ds_train.get_dataset_size() == 0: