diff --git a/deepmd/pd/train/training.py b/deepmd/pd/train/training.py
index 64dc0f9ed9..0ef95b2e1b 100644
--- a/deepmd/pd/train/training.py
+++ b/deepmd/pd/train/training.py
@@ -399,11 +399,11 @@ def get_lr(lr_params):
             self.lr_exp = get_lr(config["learning_rate"])
 
         # JIT
-        # if JIT:
-        #     raise NotImplementedError(
-        #         "JIT is not supported yet when training with Paddle"
-        #     )
-        #     self.model = paddle.jit.to_static(self.model)
+        if JIT:
+            raise NotImplementedError(
+                "JIT is not supported yet when training with Paddle"
+            )
+            self.model = paddle.jit.to_static(self.model)
 
         # Model Wrapper
         self.wrapper = ModelWrapper(self.model, self.loss, model_params=model_params)
@@ -633,7 +633,7 @@ def warm_up_linear(step, warmup_steps):
         self.profiling_file = training_params.get("profiling_file", "timeline.json")
 
     def run(self):
-        if JIT:
+        if CINN:
             from paddle import (
                 jit,
                 static,
@@ -644,7 +644,10 @@ def run(self):
             self.wrapper.forward = jit.to_static(
                 full_graph=True, build_strategy=build_strategy
             )(self.wrapper.forward)
-            log.info(f"{'*' * 20} Using Jit {'*' * 20}")
+            log.info(
+                "Enable CINN during training, there may be some additional "
+                "compilation time in the first traning step."
+            )
 
         fout = (
             open(
@@ -922,8 +925,8 @@ def log_loss_valid(_task_key="Default"):
             else:
                 model_key = "Default"
             step(step_id, model_key)
-            # if JIT:
-            #     break
+            if JIT:
+                break
 
         if self.change_bias_after_training and (self.rank == 0 or dist.get_rank() == 0):
             if not self.multi_task:
diff --git a/deepmd/pd/utils/env.py b/deepmd/pd/utils/env.py
index 27f5b2a479..8c52f6b143 100644
--- a/deepmd/pd/utils/env.py
+++ b/deepmd/pd/utils/env.py
@@ -59,6 +59,13 @@ def to_bool(flag: int | bool | str) -> bool:
 
 JIT = to_bool(os.environ.get("JIT", False))
 CINN = to_bool(os.environ.get("CINN", False))
+if CINN:
+    assert paddle.device.is_compiled_with_cinn(), (
+        "CINN is set to True, but PaddlePaddle is not compiled with CINN support. "
+        "Ensure that your PaddlePaddle installation supports CINN by checking your "
+        "installation or recompiling with CINN enabled."
+    )
+
 CACHE_PER_SYS = 5  # keep at most so many sets per sys in memory
 ENERGY_BIAS_TRAINABLE = True