diff --git a/py/torch_tensorrt/fx/test/passes/test_fix_reshape_batch_dim.py b/py/torch_tensorrt/fx/test/passes/test_fix_reshape_batch_dim.py
index e34fcd280b..431eaf4469 100644
--- a/py/torch_tensorrt/fx/test/passes/test_fix_reshape_batch_dim.py
+++ b/py/torch_tensorrt/fx/test/passes/test_fix_reshape_batch_dim.py
@@ -2,6 +2,7 @@
 
 import logging
 from copy import deepcopy
+from packaging import version
 
 import torch
 import torch.fx as fx
@@ -42,6 +43,9 @@ def forward(self, x, y):
     %reshape : [num_users=1] = call_function[target=torch_tensorrt.fx.tracer.acc_tracer.acc_ops.reshape](args = (), kwargs = {input: %y, acc_out_ty: ((%getitem_1, -1, 3), None, None, None, None, None, None)})
     return reshape
 """
+        if version.parse(torch.__version__) < version.parse("2.1.0.dev20230620"):
+            expected_graph = expected_graph.replace("num_users", "#users")
+
         assert (
             str(mod_fixed.graph).strip() == expected_graph.strip()
         ), f"Unexpected fixed graph. \nActual: {str(mod_fixed.graph)} \nExpected: {expected_graph}"
diff --git a/py/torch_tensorrt/fx/test/passes/test_remove_duplicate_output_args.py b/py/torch_tensorrt/fx/test/passes/test_remove_duplicate_output_args.py
index 1411fdab32..5dc7d8572c 100644
--- a/py/torch_tensorrt/fx/test/passes/test_remove_duplicate_output_args.py
+++ b/py/torch_tensorrt/fx/test/passes/test_remove_duplicate_output_args.py
@@ -1,6 +1,8 @@
 # Owner(s): ["oncall: gpu_enablement"]
 
 import logging
+import torch
+from packaging import version
 
 import torch.fx as fx
 import torch.nn as nn
@@ -54,6 +56,10 @@ def is_leaf_module(self, m, qn):
     %add : [num_users=1] = call_function[target=operator.add](args = (%getitem, %getitem_1), kwargs = {})
     return add
 """.strip()
+
+        if version.parse(torch.__version__) < version.parse("2.1.0.dev20230620"):
+            ttop_graph_expected = ttop_graph_expected.replace("num_users", "#users")
+
         assert (
             ttop_graph_expected == ttop_graph_actual
         ), f"Unexpected ttop graph: {ttop_graph_actual}"
@@ -64,6 +70,10 @@ def is_leaf_module(self, m, qn):
     %x : [num_users=1] = placeholder[target=x]
     return (x,)
 """.strip()
+
+        if version.parse(torch.__version__) < version.parse("2.1.0.dev20230620"):
+            ttop_a_graph_expected = ttop_a_graph_expected.replace("num_users", "#users")
+
         assert (
             ttop_a_graph_expected == ttop_a_graph_actual
         ), f"Unexpected ttop.a graph: {ttop_a_graph_actual}"