diff --git a/tests/py/dynamo/runtime/gen_hw_compat.py b/tests/py/dynamo/runtime/gen_hw_compat.py
deleted file mode 100644
index e279015aa2..0000000000
--- a/tests/py/dynamo/runtime/gen_hw_compat.py
+++ /dev/null
@@ -1,33 +0,0 @@
-# This script is used to generate hw_compat.ts file that's used in test_hw_compat.py
-# Generate the model on a different hardware compared to the one you're testing on to
-# verify HW compatibility feature.
-
-import torch
-import torch_tensorrt
-
-
-class MyModule(torch.nn.Module):
-    def __init__(self):
-        super().__init__()
-        self.conv = torch.nn.Conv2d(3, 16, 3, stride=1, bias=True)
-        self.relu = torch.nn.ReLU()
-
-    def forward(self, x):
-        out = self.conv(x)
-        out = self.relu(out)
-        return out
-
-
-model = MyModule().eval().cuda()
-inputs = torch.randn((1, 3, 224, 224)).to("cuda")
-
-trt_gm = torch_tensorrt.compile(
-    model,
-    ir="dynamo",
-    inputs=inputs,
-    min_block_size=1,
-    hardware_compatible=True,
-    version_compatible=True,
-)
-trt_script_model = torch.jit.trace(trt_gm, inputs)
-torch.jit.save(trt_script_model, "hw_compat.ts")