diff --git a/python/tvm/relay/frontend/pytorch.py b/python/tvm/relay/frontend/pytorch.py
index 0213dcc488fd..b9650e6e9a9c 100644
--- a/python/tvm/relay/frontend/pytorch.py
+++ b/python/tvm/relay/frontend/pytorch.py
@@ -2680,7 +2680,7 @@ def nonzero(self, inputs, input_types, is_numpy_style=False):
         return ret
 
     def nonzero_numpy(self, inputs, input_types):
-        return self.nonzero(inputs, input_types, is_numpy_style=False)
+        return self.nonzero(inputs, input_types, is_numpy_style=True)
 
     def scatter(self, inputs, input_types):
         assert len(inputs) == 4 or len(inputs) == 5, (
diff --git a/tests/python/frontend/pytorch/test_forward.py b/tests/python/frontend/pytorch/test_forward.py
index 6178a58b6d13..9bf40cfcdd85 100644
--- a/tests/python/frontend/pytorch/test_forward.py
+++ b/tests/python/frontend/pytorch/test_forward.py
@@ -4445,6 +4445,7 @@ def forward(self, data):
 
     inp = torch.Tensor(np.array([[0, 1, 0], [2, 0, 9], [-1, -1, 0]]).astype("float32"))
     verify_trace_model(Nonzero(), [inp], ["llvm"])
+    verify_trace_model(Nonzero(as_tuple=True), [inp], ["llvm"])
 
 
 def test_forward_scatter():