fix resnet

model_zoo/official/cv/resnet/README.md

@@ -449,7 +449,7 @@ Evaluation result will be stored in the example path, whose folder name is "eval
 - Evaluating ResNet18 with CIFAR-10 dataset
 
 ```bash
-result: {'acc': 0.9402043269230769} ckpt=~/resnet50_cifar10/train_parallel0/resnet-90_195.ckpt
+result: {'acc': 0.9363061543521088} ckpt=~/resnet50_cifar10/train_parallel0/resnet-90_195.ckpt
 ```
 
 - Evaluating ResNet18 with ImageNet2012 dataset

model_zoo/official/cv/resnet/README_CN.md

@@ -416,7 +416,7 @@ bash run_eval_gpu.sh [resnet50|resnet101] [cifar10|imagenet2012] [DATASET_PATH]
 - 使用CIFAR-10数据集评估ResNet18
 
 ```bash
-result: {'acc': 0.9402043269230769} ckpt=~/resnet50_cifar10/train_parallel0/resnet-90_195.ckpt
+result: {'acc': 0.9363061543521088} ckpt=~/resnet50_cifar10/train_parallel0/resnet-90_195.ckpt
 ```
 
 - 使用ImageNet2012数据集评估ResNet18

model_zoo/official/cv/resnet/train.py

@@ -207,7 +207,7 @@ if __name__ == '__main__':
     metrics = {"acc"}
     if args_opt.run_distribute:
         metrics = {'acc': DistAccuracy(batch_size=config.batch_size, device_num=args_opt.device_num)}
-    if (args_opt.net != "resnet101" and args_opt.net != "resnet50") or \
+    if (args_opt.net not in ("resnet18", "resnet50", "resnet101")) or \
         args_opt.parameter_server or target == "CPU":
         ## fp32 training
         model = Model(net, loss_fn=loss, optimizer=opt, metrics=metrics, eval_network=dist_eval_network)