fix

hpcaitech · Aug 19, 2024 · 12b4401 · 12b4401
1 parent 0d8e82a
commit 12b4401
Showing 1 changed file with 25 additions and 24 deletions.
diff --git a/colossalai/booster/plugin/hybrid_parallel_plugin.py b/colossalai/booster/plugin/hybrid_parallel_plugin.py
@@ -1278,30 +1278,31 @@ def configure(
                 overlap_allgather=(self.zero_stage > 0 and self.zero_config["overlap_allgather"]),
                 use_fp8=self.use_fp8,
             )
-            if zero_stage == 0:
-                is_zero = False
-                if self.precision in ["fp16", "bf16"]:
-                    optimizer = HybridParallelAMPOptimizer(
-                        optimizer,
-                        model,
-                        use_pipeline=self.enable_pipeline_parallelism,
-                        param_info=param_info,
-                        precision=self.precision,
-                        max_norm=self.max_norm,
-                        pp_process_group=self.pp_group,
-                        tp_process_group=self.tp_group,
-                        **self.amp_config,
-                    )
-                else:
-                    optimizer = HybridParallelNaiveOptimizer(
-                        optimizer,
-                        model,
-                        use_pipeline=self.enable_pipeline_parallelism,
-                        param_info=param_info,
-                        max_norm=self.max_norm,
-                        pp_process_group=self.pp_group,
-                        tp_process_group=self.tp_group,
-                    )
+            if optimizer is not None and not isinstance(optimizer, OptimizerWrapper):
+                if zero_stage == 0:
+                    is_zero = False
+                    if self.precision in ["fp16", "bf16"]:
+                        optimizer = HybridParallelAMPOptimizer(
+                            optimizer,
+                            model,
+                            use_pipeline=self.enable_pipeline_parallelism,
+                            param_info=param_info,
+                            precision=self.precision,
+                            max_norm=self.max_norm,
+                            pp_process_group=self.pp_group,
+                            tp_process_group=self.tp_group,
+                            **self.amp_config,
+                        )
+                    else:
+                        optimizer = HybridParallelNaiveOptimizer(
+                            optimizer,
+                            model,
+                            use_pipeline=self.enable_pipeline_parallelism,
+                            param_info=param_info,
+                            max_norm=self.max_norm,
+                            pp_process_group=self.pp_group,
+                            tp_process_group=self.tp_group,
+                        )
             else:
                 is_zero = self.dp_size > 1
                 if self.dp_size == 1: