perf(pt_expt): share compiled forward_lower across multi-task shared-fitting tasks

deepmd/pt_expt/infer/deep_eval.py

@@ -366,10 +366,15 @@ def _load_pt(self, model_file: str, head: str | None = None) -> None:
         # eager inference).  Drop the latter and unwrap the former.
         cleaned: dict[str, Any] = {}
         compiled_marker = ".compiled_forward_lower."
+        # Per-task buffer copies registered on _CompiledModel (bias_atom_e,
+        # case_embd) — real values live on the original model's fitting net.
+        task_buf_marker = "._task_"
         wrapper_infix = ".original_model."
         for key, value in state_dict.items():
             if compiled_marker in key:
                 continue
+            if task_buf_marker in key:
+                continue
             if wrapper_infix in key:
                 key = key.replace(wrapper_infix, ".", 1)
             cleaned[key] = value