diff --git a/applications/ColossalChat/coati/distributed/producer.py b/applications/ColossalChat/coati/distributed/producer.py
index 23542f1c6..82e4b6ac1 100644
--- a/applications/ColossalChat/coati/distributed/producer.py
+++ b/applications/ColossalChat/coati/distributed/producer.py
@@ -273,12 +273,10 @@ class BaseProducer:
                     [self.model.generate_config["temperature"]] * outputs["input_ids"].size(0)
                 ).to(outputs["input_ids"].device)
                 bs, num_gen = outputs["input_ids"].size(0), outputs["input_ids"].size(1)
-                # breakpoint()
                 if self.grpo_config["reward_fn_type"] == "code":
                     test_cases = []
                     for prompt_id in range(bs):
                         test_cases.extend([outputs["test_cases"][prompt_id]] * num_gen)
-                    # assert all([isinstance(test_cases[i], str) for i in range(len(test_cases))]), f"{[type(test_cases[i]) for i in range(len(test_cases))]}, {test_cases}"
                     reward_model_output = self.reward_model(
                         outputs["input_ids"].view((-1, outputs["input_ids"].size(-1))),
                         test_cases=test_cases,
@@ -315,7 +313,6 @@ class BaseProducer:
 
                 print(f"[P{self.producer_idx}] Send data {[(k, v.shape) for k, v in outputs.items()]}")
                 outputs = pre_send(outputs)
-                # breakpoint()
                 ray_broadcast_tensor_dict(
                     outputs, src=0, device=self.device, group_name=f"sync_data_{self.producer_idx}"
                 )