feat(finetune): remove special warnings for nlayer parameters - treat all equally

Co-authored-by: njzjz <9496702+njzjz@users.noreply.github.com>

Author: Copilot

deepmd/pd/utils/finetune.py

@@ -58,32 +58,6 @@ def _warn_descriptor_config_differences(
             f"with the pretrained model's configuration:\n" + "\n".join(differences)
         )
 
-        # Special warning for nlayer changes (check both top-level and nested)
-        if (
-            "nlayer" in input_descriptor
-            and "nlayer" in pretrained_descriptor
-            and input_descriptor["nlayer"] != pretrained_descriptor["nlayer"]
-        ):
-            log.warning(
-                f"IMPORTANT: nlayer changed from {input_descriptor['nlayer']} to "
-                f"{pretrained_descriptor['nlayer']}. This may significantly affect "
-                f"model architecture and performance."
-            )
-
-        # Check for nested nlayers in repformer (DPA2/DPA3 models)
-        input_repformer = input_descriptor.get("repformer", {})
-        pretrained_repformer = pretrained_descriptor.get("repformer", {})
-        if (
-            "nlayers" in input_repformer
-            and "nlayers" in pretrained_repformer
-            and input_repformer["nlayers"] != pretrained_repformer["nlayers"]
-        ):
-            log.warning(
-                f"IMPORTANT: repformer.nlayers changed from {input_repformer['nlayers']} to "
-                f"{pretrained_repformer['nlayers']}. This may significantly affect "
-                f"model architecture and performance."
-            )
-
 
 def get_finetune_rule_single(
     _single_param_target,

deepmd/pt/utils/finetune.py

@@ -61,32 +61,6 @@ def _warn_descriptor_config_differences(
             f"with the pretrained model's configuration:\n" + "\n".join(differences)
         )
 
-        # Special warning for nlayer changes (check both top-level and nested)
-        if (
-            "nlayer" in input_descriptor
-            and "nlayer" in pretrained_descriptor
-            and input_descriptor["nlayer"] != pretrained_descriptor["nlayer"]
-        ):
-            log.warning(
-                f"IMPORTANT: nlayer changed from {input_descriptor['nlayer']} to "
-                f"{pretrained_descriptor['nlayer']}. This may significantly affect "
-                f"model architecture and performance."
-            )
-
-        # Check for nested nlayers in repformer (DPA2/DPA3 models)
-        input_repformer = input_descriptor.get("repformer", {})
-        pretrained_repformer = pretrained_descriptor.get("repformer", {})
-        if (
-            "nlayers" in input_repformer
-            and "nlayers" in pretrained_repformer
-            and input_repformer["nlayers"] != pretrained_repformer["nlayers"]
-        ):
-            log.warning(
-                f"IMPORTANT: repformer.nlayers changed from {input_repformer['nlayers']} to "
-                f"{pretrained_repformer['nlayers']}. This may significantly affect "
-                f"model architecture and performance."
-            )
-
 
 def get_finetune_rule_single(
     _single_param_target,