diff --git a/python/tvm/relay/frontend/qnn_torch.py b/python/tvm/relay/frontend/qnn_torch.py
index 13e426ccd7a0..a6d536eaccf7 100644
--- a/python/tvm/relay/frontend/qnn_torch.py
+++ b/python/tvm/relay/frontend/qnn_torch.py
@@ -25,7 +25,7 @@
 from tvm.relay.frontend.common import infer_shape
 
 from .common import logger
-from .pytorch_utils import is_version_greater_than, getattr_attr_name
+from .pytorch_utils import is_version_greater_than
 
 
 class QNNParam(object):
@@ -540,18 +540,11 @@ def inline_input_quant_params_for_fx(graph, params, param_debug_name_map):
     # pylint: disable=c-extension-no-member
     import torch
 
-    def get_full_attr_name(current):
-        current_attr = getattr_attr_name(current)
-        inputs = list(current.inputs())
-        if len(inputs) == 1 and inputs[0].node().kind() == "prim::GetAttr":
-            return get_full_attr_name(inputs[0].node()) + "." + current_attr
-        return current_attr
-
     for node in graph.findAllNodes("prim::GetAttr", recurse=True):
         out_name = node.output().debugName()
 
         if "_scale" in out_name or "_zero_point" in out_name:
-            full_attr = param_debug_name_map[get_full_attr_name(node)]
+            full_attr = param_debug_name_map[out_name]
             assert full_attr in params, f"{full_attr} not found in param dict."
             param_np = params[full_attr].numpy()
             new_const_node = graph.create("prim::Constant")