add logging for setting profiler

src/llama_recipes/utils/train_utils.py

@@ -30,8 +30,9 @@ from llama_recipes.utils.tflop_counter import FlopCounterMode
 @contextlib.contextmanager
 def maybe_run_profiler(cfg, *args, **kwargs):
     use_profiler: bool = cfg.profiler
-
+    
     if use_profiler:
+        print(f"profiling is activated and results will be saved in {cfg.profile_output_dir}")
         with torch.profiler.profile(
             activities=[
                 torch.profiler.ProfilerActivity.CPU,
@@ -594,4 +595,4 @@ def save_to_json(output_filename, train_step_loss, train_epoch_loss, train_step_
         "val_epoch_perplexity": val_epoch_ppl
     }
     with open(output_filename, "w") as f:
-        json.dump(metrics_data, f)
+        json.dump(metrics_data, f)