Add serialize in se_attn_v2 tf

deepmd/tf/descriptor/se_atten_v2.py

@@ -109,3 +109,68 @@ def __init__(
             smooth_type_embedding=True,
             **kwargs,
         )
+
+    @classmethod
+    def deserialize(cls, data: dict, suffix: str = ""):
+        """Deserialize the model.
+        Parameters
+        ----------
+        data : dict
+            The serialized data
+        Returns
+        -------
+        Model
+            The deserialized model
+        """
+        if cls is not DescrptSeAttenV2:
+            raise NotImplementedError(f"Not implemented in class {cls.__name__}")
+        data = data.copy()
+        check_version_compatibility(data.pop("@version"), 1, 1)
+        data.pop("@class")
+        data.pop("type")
+        embedding_net_variables = cls.deserialize_network(
+            data.pop("embeddings"), suffix=suffix
+        )
+        attention_layer_variables = cls.deserialize_attention_layers(
+            data.pop("attention_layers"), suffix=suffix
+        )
+        data.pop("env_mat")
+        variables = data.pop("@variables")
+        type_one_side = data["type_one_side"]
+        two_side_embeeding_net_variables = cls.deserialize_network_strip(
+            data.pop("embeddings_strip"),
+            suffix=suffix,
+            type_one_side=type_one_side,
+        )
+        descriptor = cls(**data)
+        descriptor.embedding_net_variables = embedding_net_variables
+        descriptor.attention_layer_variables = attention_layer_variables
+        descriptor.two_side_embeeding_net_variables = two_side_embeeding_net_variables
+        descriptor.davg = variables["davg"].reshape(
+            descriptor.ntypes, descriptor.ndescrpt
+        )
+        descriptor.dstd = variables["dstd"].reshape(
+            descriptor.ntypes, descriptor.ndescrpt
+        )
+        return descriptor
+
+    def serialize(self, suffix: str = "") -> dict:
+        """Serialize the model.
+        Parameters
+        ----------
+        suffix : str, optional
+            The suffix of the scope
+        Returns
+        -------
+        dict
+            The serialized data
+        """
+        data = super().serialize(suffix)
+        data.pop("smooth_type_embedding")
+        data.pop("tebd_input_mode")
+        data.update(
+            {
+                "type": "se_atten_v2"
+            }
+        )
+        return data