fix acnet

configs/ResNet_ACNet/ResNet_ACNet.yaml

 mode: 'train'
 ARCHITECTURE:
-    name: "ResNet_ACNet"
+    name: "ResNet50_ACNet"
 
 pretrained_model: ""
 model_save_dir: "./output/"

ppcls/modeling/architectures/resnet_acnet.py

-#copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
+# copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
 #
-#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
+# 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.
+# 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.
 
 from __future__ import absolute_import
 from __future__ import division
@@ -18,13 +18,12 @@ from __future__ import print_function
 
 import math
 
-import paddle
 import paddle.fluid as fluid
 from paddle.fluid.param_attr import ParamAttr
 
 __all__ = [
-    "ResNet_ACNet", "ResNet18_ACNet", "ResNet34_ACNet", "ResNet50_ACNet",
-    "ResNet101_ACNet", "ResNet152_ACNet"
+    "ResNet18_ACNet", "ResNet34_ACNet", "ResNet50_ACNet", "ResNet101_ACNet",
+    "ResNet152_ACNet"
 ]
 
 
@@ -41,7 +40,8 @@ class ResNetACNet(object):
         layers = self.layers
         supported_layers = [18, 34, 50, 101, 152]
         assert layers in supported_layers, \
-            "supported layers are {} but input layer is {}".format(supported_layers, layers)
+            "supported layers are {} but input layer is {}".format(
+                supported_layers, layers)
 
         if layers == 18:
             depth = [2, 2, 2, 2]
@@ -240,7 +240,7 @@ class ResNetACNet(object):
     def shortcut(self, input, ch_out, stride, is_first, name):
         """ shortcut """
         ch_in = input.shape[1]
-        if ch_in != ch_out or stride != 1 or is_first == True:
+        if ch_in != ch_out or stride != 1 or is_first is True:
             return self.conv_bn_layer(
                 input=input,
                 num_filters=ch_out,
@@ -304,7 +304,7 @@ class ResNetACNet(object):
 
 def ResNet18_ACNet(deploy=False):
     """ResNet18 + ACNet"""
-    model = ResNet_ACNet(layers=18, deploy=deploy)
+    model = ResNetACNet(layers=18, deploy=deploy)
     return model