add copyright and missed __init__.py file in lpot/adaptor/torch_utils

Author: ClarkChin08

lpot/adaptor/torch_utils/__init__.py

@@ -0,0 +1,17 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+#
+# Copyright (c) 2021 Intel Corporation
+#
+# Licensed 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.
+

lpot/adaptor/torch_utils/util.py

@@ -1,3 +1,20 @@
+#
+#  -*- coding: utf-8 -*-
+#
+#  Copyright (c) 2021 Intel Corporation
+#
+#  Licensed 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.
+
 import numpy as np
 import torch
 

lpot/data/dataloaders/dataloader.py

@@ -1,7 +1,7 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 #
-# Copyright (c) 2020 Intel Corporation
+# Copyright (c) 2021 Intel Corporation
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -15,7 +15,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-
 from lpot.experimental.data.dataloaders import DATALOADERS
 
 # THIS API IS TO BE DEPRECATED!

lpot/data/datasets/imagenet_dataset.py

@@ -88,10 +88,10 @@ class ONNXRTImagenetDataset(Dataset):
 
     def __init__(self, root, subset='val', num_cores=28, transform=None, filter=None):
         self.val_dir = os.path.join(root, subset)
-        assert os.path.exists(self.val_dir), "find no val dir in dataset path, please \
-            makesure there are train/val subfolders"
+        assert os.path.exists(self.val_dir), "find no val dir in {}".format(root) + \
+            "please make sure there are train/val subfolders"
         import glob
-        logger.warning('This api is going to be deprecated, '
+        logger.warning('This api is going to be deprecated, ' + \
                        'please use ImageRecord instead')
 
         self.transform = transform

lpot/experimental/benchmark.py

@@ -169,8 +169,8 @@ def model(self, user_model):
         from .common import Model as LpotModel
         from ..model import MODELS
         if not isinstance(user_model, LpotModel):
-            logger.warning('force convert user raw model to lpot model, \
-                better initialize lpot.experimental.common.Model and set....')
+            logger.warning('force convert user raw model to lpot model, ' + 
+                'better initialize lpot.experimental.common.Model and set....')
             user_model = LpotModel(user_model)
 
         framework_model_info = {}

lpot/experimental/pruning.py

@@ -145,8 +145,8 @@ def model(self, user_model):
         """
         from .common import Model as LpotModel
         if not isinstance(user_model, LpotModel):
-            logger.warning('force convert user raw model to lpot model, \
-                better initialize lpot.experimental.common.Model and set....')
+            logger.warning('force convert user raw model to lpot model, ' +
+                'better initialize lpot.experimental.common.Model and set....')
             user_model = LpotModel(user_model)
         framework_model_info = {}
         cfg = self.conf.usr_cfg

lpot/experimental/quantization.py

@@ -253,8 +253,8 @@ def model(self, user_model):
         from .common import Model as LpotModel
         from ..model import MODELS
         if not isinstance(user_model, LpotModel):
-            logger.warning('force convert user raw model to lpot model, \
-                better initialize lpot.experimental.common.Model and set....')
+            logger.warning('force convert user raw model to lpot model, ' +
+                'better initialize lpot.experimental.common.Model and set....')
             user_model = LpotModel(user_model)
 
         framework_model_info = {}