fix lint

python/tvm/relay/op/contrib/dnnl.py

@@ -847,7 +847,6 @@ class ResNetV1Rewrite(DFPatternCallback):
 
     def __init__(self):
         super(ResNetV1Rewrite, self).__init__()
-        self.cnt = 0
         self.attr_lst = []
         self.data = wildcard()
         self.w1, self.b1 = wildcard(), wildcard()
@@ -899,7 +898,6 @@ def visit_func(expr):
         _analysis.post_order_visit(pre, visit_func)
 
     def callback(self, pre, post, node_map):
-        # print(pre)
         self.get_attr(pre)
         data = node_map[self.data][0]
         w1, b1 = node_map[self.w1][0], node_map[self.b1][0]
@@ -954,9 +952,7 @@ def callback(self, pre, post, node_map):
         return out
 
 def rewrite_resnetv1(mod):
-    """Rewrite the input graph to reorder reshape operators so that
-    we can perform dense_bias_gelu/dense_bias fusion and then offload
-    them to byoc part.
+    """Rewrite the the ResNetV1 downsize block to reduce the computation complexity.
     """
     mod["main"] = rewrite(ResNetV1Rewrite(), mod["main"]
     )

tests/python/contrib/test_dnnl.py

@@ -1191,7 +1191,6 @@ def get_graph():
     run_and_verify_func(config, run_module=run_module, dtype=dtype)
 
 
->>>>>>> 1c53452ca... rewrite downsize blocks for rensetv1 to get better performance
 def permute_shape(shape, l_from="", l_to=""):
     res_shape = []
     for label in l_to: