[fix] fix test_shard_llama

colossalai/shardformer/policies/llama.py

@@ -394,8 +394,8 @@ class LlamaForCausalLMPolicy(LlamaPolicy):
         return held_layers
 
     def get_shared_params(self) -> List[Dict[int, Tensor]]:
-        # if self.pipeline_stage_manager is not None and self.pipeline_stage_manager.use_zbv:
-        #     return []
+        if self.pipeline_stage_manager is not None and self.pipeline_stage_manager.use_zbv:
+            return []
         llama_model = self.model.model
         if self.pipeline_stage_manager and self.pipeline_stage_manager.num_stages > 1:
             if (
@@ -403,20 +403,26 @@ class LlamaForCausalLMPolicy(LlamaPolicy):
                 and self.pipeline_stage_manager.num_stages > 1
             ):
                 # tie weights
-                if self.pipeline_stage_manager.use_zbv:
-                    return [
-                        {
-                            0: llama_model.embed_tokens.weight,
-                            0: self.model.lm_head.weight,
-                        }
-                    ]
-                else:
                 return [
                     {
                         0: llama_model.embed_tokens.weight,
                         self.pipeline_stage_manager.num_stages - 1: self.model.lm_head.weight,
                     }
                 ]
+                # if self.pipeline_stage_manager.use_zbv:
+                #     return [
+                #         {
+                #             0: llama_model.embed_tokens.weight,
+                #             0: self.model.lm_head.weight,
+                #         }
+                #     ]
+                # else:
+                #     return [
+                #         {
+                #             0: llama_model.embed_tokens.weight,
+                #             self.pipeline_stage_manager.num_stages - 1: self.model.lm_head.weight,
+                #         }
+                #     ]
         return []
 
 

examples/language/llama/benchmark.py

@@ -237,7 +237,6 @@ def main():
             ).get_v_schedule()
         else:
             scheduler_nodes = None
-        # print(f"{dist.get_rank()} {scheduler_nodes[]} ")
 
         plugin = HybridParallelPlugin(
             tp_size=args.tp,

tests/test_pipeline/test_schedule/test_zerobubble_pp.py

@@ -923,9 +923,9 @@ def run_with_booster_moehybridplugin(config: Tuple[int, ...]):
 @parameterize(
     "config",
     [
-        # (1, 2, 2, 1), # Pass
+        (1, 2, 2, 1),  # Pass
         # TODO: only support pp + tp accleration; Will support fully pp and None tp Hybrid in furture;
-        (0, 4, 1, 1),
+        # (0, 4, 1, 1),
         # (1, 2, 1, 2),
         # (1, 1, 2, 2),
     ],