Fix ce of dygraph quant (#871)

ce_tests/dygraph/quant/readme.md

@@ -2,7 +2,7 @@
 
 安装需要测试的Paddle版本和PaddleSlim版本。
 
-准备ImageNet数据集，数据集需要满足paddle hapi的要求。假定解压到`/dataset/ILSVRC2012`文件夹，该文件夹下有`train文件夹、val_hapi文件夹、train_list.txt和val_list.txt文件`。如果数据集有问题，可以私聊。
+准备ImageNet数据集，数据集需要满足paddle hapi的要求。假定解压到`/dataset/ILSVRC2012`文件夹，该文件夹下有`train文件夹、val文件夹、train_list.txt和val_list.txt文件`。
 
 通过`export CUDA_VISIBLE_DEVICES=xx`指定需要使用的GPU ID。
 

ce_tests/dygraph/quant/run_ptq.sh

-data_path="/dataset/ILSVRC2012"
+data_path="/root/datasets/ILSVRC2012"
 quant_batch_num=10
 quant_batch_size=10
 

ce_tests/dygraph/quant/run_qat.sh

-data_path="/dataset/ILSVRC2012"
-val_dir="val_hapi"
+data_path="/root/datasets/ILSVRC2012"
+val_dir="val"
 epoch=1
 lr=0.0001
 batch_size=32

ce_tests/dygraph/quant/src/ptq.py

@@ -100,7 +100,7 @@ if __name__ == '__main__':
     )
     parser.add_argument(
         '--val_dir',
-        default="val_hapi",
+        default="val",
         help='the dir that saves val images for paddle.Model')
 
     # train

ce_tests/dygraph/quant/src/qat.py

@@ -154,7 +154,7 @@ if __name__ == '__main__':
         '(should have subdirectories named "train" and "val"')
     parser.add_argument(
         '--val_dir',
-        default="val_hapi",
+        default="val",
         help='the dir that saves val images for paddle.Model')
 
     # train

ce_tests/dygraph/quant/src/test.py

@@ -35,7 +35,7 @@ def eval(args):
 
     # prepare data
     val_dataset = dataset.ImageNetDataset(
-        path=os.path.join(args.data_dir, 'val_hapi'), mode='val')
+        path=os.path.join(args.data_dir, 'val'), mode='val')
     eval_loader = paddle.io.DataLoader(
         val_dataset, batch_size=args.batch_size, num_workers=5)