diff --git a/setup.py b/setup.py
index 22328109..e09b714c 100644
--- a/setup.py
+++ b/setup.py
@@ -16,7 +16,7 @@
         install_requires.append(line)
 
 setup(name="weaver-core",
-      version='0.4.13',
+      version='0.4.14',
       description="A streamlined deep-learning framework for high energy physics",
       long_description_content_type="text/markdown",
       author="H. Qu, C. Li",
diff --git a/weaver/train.py b/weaver/train.py
index 388d0ef5..3dfdcb1a 100644
--- a/weaver/train.py
+++ b/weaver/train.py
@@ -334,6 +334,8 @@ def onnx(args):
     model = model.cpu()
     model.eval()
 
+    if not os.path.dirname(args.export_onnx):
+        args.export_onnx = os.path.join(os.path.dirname(model_path), args.export_onnx)
     os.makedirs(os.path.dirname(args.export_onnx), exist_ok=True)
     inputs = tuple(
         torch.ones(model_info['input_shapes'][k], dtype=torch.float32) for k in model_info['input_names'])
@@ -879,7 +881,7 @@ def _main(args):
             del test_loader
 
             if args.predict_output:
-                if '/' not in args.predict_output:
+                if not os.path.dirname(predict_output):
                     predict_output = os.path.join(
                         os.path.dirname(args.model_prefix),
                         'predict_output', args.predict_output)