fix(classification): fix pylint

official/vision/classification/resnet/inference.py

@@ -9,15 +9,14 @@
 import argparse
 import json
 
-import model as resnet_model
+import model as resnet_model  # pylint-disable=import-error
 
 import cv2
 import numpy as np
 
 import megengine
 import megengine.data.transform as T
 import megengine.functional as F
-import megengine.jit as jit
 
 logging = megengine.logger.get_logger()
 

official/vision/classification/resnet/test.py

@@ -7,20 +7,16 @@
 # software distributed under the License is distributed on an
 # "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 import argparse
-import bisect
 import multiprocessing
-import os
-import threading
 import time
 
-import model as resnet_model
+import model as resnet_model  # pylint-disable=import-error
 
 import megengine
-from megengine import data as data
-from megengine import distributed as dist
-from megengine import functional as F
-from megengine import jit as jit
-from megengine.data import transform as T
+import megengine.data as data
+import megengine.data.transform as T
+import megengine.distributed as dist
+import megengine.functional as F
 
 logging = megengine.logger.get_logger()
 

official/vision/classification/resnet/train.py

@@ -10,19 +10,17 @@
 import bisect
 import multiprocessing
 import os
-import threading
 import time
 
-import model as resnet_model
+import model as resnet_model  # pylint-disable=import-error
 
 import megengine
-from megengine import autodiff as autodiff
-from megengine import data as data
-from megengine import distributed as dist
-from megengine import functional as F
-from megengine import jit as jit
-from megengine import optimizer as optim
-from megengine.data import transform as T
+import megengine.autodiff as autodiff
+import megengine.data as data
+import megengine.data.transform as T
+import megengine.distributed as dist
+import megengine.functional as F
+import megengine.optimizer as optim
 
 logging = megengine.logger.get_logger()
 

official/vision/classification/shufflenet/inference.py

@@ -9,15 +9,14 @@
 import argparse
 import json
 
-import model as snet_model
+import model as snet_model  # pylint-disable=import-error
 
 import cv2
 import numpy as np
 
 import megengine
 import megengine.data.transform as T
 import megengine.functional as F
-import megengine.jit as jit
 
 logging = megengine.logger.get_logger()
 

official/vision/classification/shufflenet/model.py

@@ -33,9 +33,9 @@
 # This file has been modified by Megvii ("Megvii Modifications").
 # All Megvii Modifications are Copyright (C) 2014-2019 Megvii Inc. All rights reserved.
 # ------------------------------------------------------------------------------
-from megengine import functional as F
-from megengine import hub as hub
-from megengine import module as M
+import megengine.functional as F
+import megengine.hub as hub
+import megengine.module as M
 
 
 class ShuffleV2Block(M.Module):

official/vision/classification/shufflenet/test.py

@@ -7,20 +7,16 @@
 # software distributed under the License is distributed on an
 # "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 import argparse
-import bisect
 import multiprocessing
-import os
-import threading
 import time
 
-import model as snet_model
+import model as snet_model  # pylint-disable=import-error
 
 import megengine
-from megengine import data as data
-from megengine import distributed as dist
-from megengine import functional as F
-from megengine import jit as jit
-from megengine.data import transform as T
+import megengine.data as data
+import megengine.data.transform as T
+import megengine.distributed as dist
+import megengine.functional as F
 
 logging = megengine.logger.get_logger()
 

official/vision/classification/shufflenet/train.py

@@ -7,22 +7,19 @@
 # software distributed under the License is distributed on an
 # "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 import argparse
-import bisect
 import multiprocessing
 import os
-import threading
 import time
 
-import model as snet_model
+import model as snet_model  # pylint-disable=import-error
 
 import megengine
-from megengine import autodiff as autodiff
-from megengine import data as data
-from megengine import distributed as dist
-from megengine import functional as F
-from megengine import jit as jit
-from megengine import optimizer as optim
-from megengine.data import transform as T
+import megengine.autodiff as autodiff
+import megengine.data as data
+import megengine.data.transform as T
+import megengine.distributed as dist
+import megengine.functional as F
+import megengine.optimizer as optim
 
 logging = megengine.logger.get_logger()