diff --git a/python/tvm/relay/op/contrib/dnnl.py b/python/tvm/relay/op/contrib/dnnl.py
index 412393eb291a..71ef430ec9c6 100644
--- a/python/tvm/relay/op/contrib/dnnl.py
+++ b/python/tvm/relay/op/contrib/dnnl.py
@@ -33,7 +33,7 @@
 check the attributes of the op and decide if it should be offloaded to DNNL.
 """
 from ... import expr as _expr
-from ... import op as reg
+from ... import op as _op
 from .register import register_pattern_table
 
 
@@ -51,7 +51,7 @@ def _register_external_op_helper(op_name, supported=True):
     f : callable
         A function that returns if the operator is supported by DNNL.
     """
-    @reg.register(op_name, "target.dnnl")
+    @_op.register(op_name, "target.dnnl")
     def _func_wrapper(attrs, args):
         return supported
 
@@ -71,12 +71,12 @@ def make_pattern(with_bias=True):
     data = _expr.var("data")
     weight = _expr.var("weight")
     bias = _expr.var("bias")
-    conv = reg.nn.conv2d(data, weight)
+    conv = _op.nn.conv2d(data, weight)
     if with_bias:
-        conv_out = reg.add(conv, bias)
+        conv_out = _op.add(conv, bias)
     else:
         conv_out = conv
-    return reg.nn.relu(conv_out)
+    return _op.nn.relu(conv_out)
 
 
 @register_pattern_table("dnnl")