diff --git a/python/lammps/mliap/__init__.py b/python/lammps/mliap/__init__.py
index 9a12b075c4..c1a9752855 100644
--- a/python/lammps/mliap/__init__.py
+++ b/python/lammps/mliap/__init__.py
@@ -33,6 +33,7 @@ else:
     from .loader import load_model, load_unified, activate_mliappy
     try:
          from .loader import  load_model_kokkos,  activate_mliappy_kokkos
-    except:
+    except Exception as ee:
+        # ignore import error, it means that the KOKKOS package was not included in LAMMPS
         pass
 del sysconfig, ctypes, library, pylib
diff --git a/python/lammps/mliap/pytorch.py b/python/lammps/mliap/pytorch.py
index fdf04b77d3..93df96d2e0 100644
--- a/python/lammps/mliap/pytorch.py
+++ b/python/lammps/mliap/pytorch.py
@@ -140,8 +140,6 @@ class TorchWrapper(torch.nn.Module):
             else:
                 energy_nn = self.model(descriptors, elems).flatten()
                 energy[:] = energy_nn.detach().cpu().numpy().astype(np.float64)
-            #if energy_nn.ndim > 1:
-            #    energy_nn = energy_nn.flatten()
 
         if (use_gpu_data):
             beta_nn = torch.as_tensor(beta,dtype=self.dtype, device=self.device)
@@ -150,9 +148,6 @@ class TorchWrapper(torch.nn.Module):
             beta_nn = torch.autograd.grad(energy_nn.sum(), descriptors)[0]
             beta[:] = beta_nn.detach().cpu().numpy().astype(np.float64)
 
-        elems=elems+1
-
-
 class IgnoreElems(torch.nn.Module):
     """
     A class to represent a NN model agnostic of element typing.