refine

Classification/cnns/of_cnn_inference.py

@@ -25,7 +25,7 @@ args = parser.parse_args()
 configs.print_args(args)
 
 import oneflow.compatible.single_client as flow
-import import oneflow.typing as tp
+import oneflow.compatible.single_client.typing as tp
 from imagenet1000_clsidx_to_labels import clsidx_2_labels
 
 import resnet_model

Classification/cnns/resnet_to_onnx.py

@@ -19,7 +19,7 @@ from typing import Callable, Text
 
 import numpy as np
 import oneflow.compatible.single_client as flow
-import import oneflow.typing as tp
+import oneflow.compatible.single_client.typing as tp
 import onnx
 import onnxruntime as ort
 

Classification/cnns/tools/imagenet_ofrecord.py

@@ -104,7 +104,7 @@ import glob
 import numpy as np
 import six
 import cv2
-import import oneflow.core.record.record_pb2 as of_record
+import oneflow.core.record.record_pb2 as of_record
 import struct
 
 """

LanguageModeling/BERT/bert.py

@@ -14,7 +14,7 @@ See the License for the specific language governing permissions and
 limitations under the License.
 """
 import oneflow.compatible.single_client as flow
-import oneflow.compatible.single_client.core.operator.op_conf_pb2 as op_conf_util
+import oneflow.core.operator.op_conf_pb2 as op_conf_util
 import math
 
 class BertBackbone(object):

LanguageModeling/BERT/pretrain.py

@@ -15,7 +15,7 @@ limitations under the License.
 """
 import oneflow.compatible.single_client as flow
 import bert as bert_util
-import oneflow.compatible.single_client.core.operator.op_conf_pb2 as op_conf_util
+import oneflow.core.operator.op_conf_pb2 as op_conf_util
 
 
 def PreTrain(