diff --git a/python/tvm/relay/frontend/onnx.py b/python/tvm/relay/frontend/onnx.py
index f4cf9572b93f..ce5084e1ece4 100644
--- a/python/tvm/relay/frontend/onnx.py
+++ b/python/tvm/relay/frontend/onnx.py
@@ -387,17 +387,6 @@ def _impl_v1(cls, inputs, attr, params):
                 msg = 'Value {} in attribute "auto_pad" of operator Conv is invalid.'
                 raise tvm.error.OpAttributeInvalid(msg.format(attr["auto_pad"]))
             attr.pop("auto_pad")
-        elif len(attr["kernel_shape"]) == 2:
-            sym_pad = True
-            if "pads" in attr:
-                padding = attr["pads"]
-            else:
-                padding = [0, 0, 0, 0]
-            for i in range(0, len(padding), 2):
-                sym_pad = sym_pad and padding[i] == padding[i + 1]
-
-            if sym_pad:
-                attr["pads"] = padding[0::2]
 
         out = AttrCvt(
             op_name=dimension_picker("conv"),
diff --git a/tests/python/frontend/onnx/test_forward.py b/tests/python/frontend/onnx/test_forward.py
index da8629dfcd2b..799d8971b853 100644
--- a/tests/python/frontend/onnx/test_forward.py
+++ b/tests/python/frontend/onnx/test_forward.py
@@ -2504,6 +2504,16 @@ def repeat(N, D):
             repeat(1, D),
             repeat(1, D),
         )
+        # Convolution with assymetric padding
+        verify_conv(
+            (1, 1) + repeat(5, D),
+            (1, 1) + repeat(3, D),
+            (1, 1) + repeat(4, D),
+            repeat(0, D) + repeat(1, D),
+            repeat(3, D),
+            repeat(1, D),
+            repeat(1, D),
+        )
         # Convolution without padding
         verify_conv(
             (1, 1) + repeat(5, D),