update pipeline

dance/pipeline.py

@@ -1084,11 +1084,13 @@ def run_step3(root_path, evaluate_pipeline, step2_pipeline_planer: PipelinePlane
 
     pipeline_top_k = default(step2_pipeline_planer.config.pipeline_tuning_top_k, DEFAULT_PIPELINE_TUNING_TOP_K)
     step3_k = default(step2_pipeline_planer.config.parameter_tuning_freq_n, DEFAULT_PARAMETER_TUNING_FREQ_N)
+    # Skip some of the already run step3 because in pandas, when you sort columns with exactly the same values, the results are not random. 
+    # Instead, pandas preserves the order of the original data. So we can skip it without causing any impact.
     step3_start_k=default(step2_pipeline_planer.config.step3_start_k, 0)
+    #Some sweep_ids of step3 that have already been run
     step3_sweep_ids=step2_pipeline_planer.config.step3_sweep_ids
     step3_sweep_ids=[None] * len(pipeline_top_k) if step3_sweep_ids is None else (step3_sweep_ids + [None] * (pipeline_top_k - len(step3_sweep_ids)))
-    # Skip some of the already run step3 because in pandas, when you sort columns with exactly the same values, the results are not random. 
-        # Instead, pandas preserves the order of the original data. So we can skip it without causing any impact.
+
     for i in range(pipeline_top_k):
         if i < step3_start_k:
             continue