support hybrid descriptor (fix #458) (#459)

Author: njzjz

dpgen/generator/run.py

@@ -376,7 +376,11 @@ def make_train (iter_index,
         # set random seed for each model
         if LooseVersion(mdata["deepmd_version"]) >= LooseVersion('1') and LooseVersion(mdata["deepmd_version"]) < LooseVersion('3'):
             # 1.x
-            jinput['model']['descriptor']['seed'] = random.randrange(sys.maxsize) % (2**32)
+            if jinput['model']['descriptor']['type'] == 'hybrid':
+                for desc in jinput['model']['descriptor']['list']:
+                    desc['seed'] = random.randrange(sys.maxsize) % (2**32)
+            else:
+                jinput['model']['descriptor']['seed'] = random.randrange(sys.maxsize) % (2**32)
             jinput['model']['fitting_net']['seed'] = random.randrange(sys.maxsize) % (2**32)
             jinput['training']['seed'] = random.randrange(sys.maxsize) % (2**32)
         else: