fix bug of ci when we use mocker

Signed-off-by: bhsueh <[email protected]>

Author: byshiue

tests/integration/defs/accuracy/test_llm_api_pytorch.py

@@ -2736,7 +2736,7 @@ def test_w4_1gpu(self, moe_backend, cuda_graph, overlap_scheduler, mocker):
 
         with llm:
             model_name = "GPT-OSS/MXFP4"
-            mocker.patch.object(GSM8K, {"MAX_OUTPUT_LEN": 8192})
+            mocker.patch.object(GSM8K, "MAX_OUTPUT_LEN": 8192)
             task = GSM8K(model_name)
             task.evaluate(llm,
                           extra_evaluator_kwargs=self.extra_evaluator_kwargs)
@@ -2776,7 +2776,7 @@ def test_w4_4gpus(self, moe_backend, tp_size, pp_size, ep_size,
         with llm:
             model_name = "GPT-OSS/MXFP4"
             task = GSM8K(model_name)
-            mocker.patch.object(GSM8K, {"MAX_OUTPUT_LEN": 8192})
+            mocker.patch.object(GSM8K, "MAX_OUTPUT_LEN": 8192)
             task.evaluate(llm,
                           extra_evaluator_kwargs=self.extra_evaluator_kwargs)
 
@@ -2807,7 +2807,7 @@ def test_w4a16(self, tp_size, pp_size, ep_size, attention_dp, cuda_graph,
         with llm:
             model_name = "GPT-OSS/BF16"
             task = GSM8K(model_name)
-            mocker.patch.object(GSM8K, {"MAX_OUTPUT_LEN": 8192})
+            mocker.patch.object(GSM8K, "MAX_OUTPUT_LEN": 8192)
             task.evaluate(llm,
                           extra_evaluator_kwargs=self.extra_evaluator_kwargs)