Fix torch.compile for MoE (#2033)

test/srt/test_torch_compile.py

@@ -39,7 +39,7 @@ class TestTorchCompile(unittest.TestCase):
         )
 
         metrics = run_eval(args)
-        assert metrics["score"] >= 0.65
+        self.assertGreaterEqual(metrics["score"], 0.65)
 
     def run_decode(self, max_new_tokens):
         response = requests.post(
@@ -49,8 +49,8 @@ class TestTorchCompile(unittest.TestCase):
                 "sampling_params": {
                     "temperature": 0,
                     "max_new_tokens": max_new_tokens,
+                    "ignore_eos": True,
                 },
-                "ignore_eos": True,
             },
         )
         return response.json()
@@ -66,7 +66,7 @@ class TestTorchCompile(unittest.TestCase):
         print(res["text"])
         throughput = max_tokens / (tok - tic)
         print(f"Throughput: {throughput} tokens/s")
-        assert throughput >= 152
+        self.assertGreaterEqual(throughput, 152)
 
 
 if __name__ == "__main__":