fix TypeError when type_map is not given (deepmodeling#2890)

Fix deepmodeling#2889.

---------

Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>

deepmd/descriptor/se_atten.py

@@ -120,6 +120,11 @@ class DescrptSeAtten(DescrptSeA):
             When using stripped type embedding, whether to dot smooth factor on the network output of type embedding
             to keep the network smooth, instead of setting `set_davg_zero` to be True.
             Default value will be True in `se_atten_v2` descriptor.
+
+    Raises
+    ------
+    ValueError
+        if ntypes is 0.
     """
 
     def __init__(
@@ -178,6 +183,8 @@ def __init__(
             assert Version(TF_VERSION) > Version(
                 "2"
             ), "se_atten only support tensorflow version 2.0 or higher."
+        if ntypes == 0:
+            raise ValueError("`model/type_map` is not set or empty!")
         self.stripped_type_embedding = stripped_type_embedding
         self.smooth = smooth_type_embdding
         self.ntypes = ntypes

deepmd/model/model.py

@@ -566,7 +566,7 @@ def __init__(
             self.descrpt = descriptor
         else:
             self.descrpt = Descriptor(
-                **descriptor, ntypes=len(type_map), spin=self.spin
+                **descriptor, ntypes=len(self.get_type_map()), spin=self.spin
             )
 
         if isinstance(fitting_net, Fitting):

deepmd/model/multi.py

@@ -122,7 +122,7 @@ def __init__(
         else:
             self.descrpt = Descriptor(
                 **descriptor,
-                ntypes=len(type_map),
+                ntypes=len(self.get_type_map()),
                 multi_task=True,
                 spin=self.spin,
             )