[master][tests] __init__' file to avoid undefined variables

tests/nightly/model_backwards_compatibility_check/__init__.py

@@ -0,0 +1,20 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+# coding: utf-8
+
+from .common import *

tests/nightly/model_backwards_compatibility_check/model_backwards_compat_inference.py

@@ -17,7 +17,7 @@
 # specific language governing permissions and limitations
 # under the License.
 
-from common import *
+from .common import *
 
 def test_lenet_gluon_load_params_api():
     model_name = 'lenet_gluon_save_params_api'

tests/nightly/model_backwards_compatibility_check/model_backwards_compat_train.py

@@ -17,7 +17,7 @@
 # specific language governing permissions and limitations
 # under the License.
 
-from common import *
+from .common import *
 
 
 def train_lenet_gluon_save_params_api():

tests/python/unittest/test_numpy_default_dtype.py

@@ -181,7 +181,7 @@ def check_default_dtype(op_list):
             assert False
         assert workloads is not None, 'Workloads for operator `{}` has not been ' \
                                       'added for checking default dtype with the ' \
-                                      'official NumPy and the deep NumPy.'.format(name)
+                                      'official NumPy and the deep NumPy.'.format(op_name)
         for workload in workloads:
             check_np_default_dtype(op, *workload['args'], **workload['kwargs'])
             check_deepnp_default_dtype(op, *workload['args'], **workload['kwargs'])