Fix FullQuant Demo (#1459)

example/full_quantization/image_classification/README.md

@@ -89,11 +89,11 @@ python -m paddle.distributed.launch run.py --save_dir='./save_quant_mobilev3/' -
 
 **验证精度**
 
-根据训练log可以看到模型验证的精度，若需再次验证精度，修改配置文件```./configs/MobileNetV1/qat_dis.yaml```中所需验证模型的文件夹路径及模型和参数名称```model_dir, model_filename, params_filename```，然后使用以下命令进行验证：
+根据训练log可以看到模型验证的精度，若需再次验证精度，修改配置文件```./configs/mobilenetv3_large_qat_dis.yaml```中所需验证模型的文件夹路径及模型和参数名称```model_dir, model_filename, params_filename```，然后使用以下命令进行验证：
 
 ```shell
 export CUDA_VISIBLE_DEVICES=0
-python eval.py --config_path='./configs/eval.yaml'
+python eval.py --config_path='./configs/mobilenetv3_large_qat_dis.yaml'
 ```
 
 

example/full_quantization/image_classification/configs/eval.yaml

-model_dir: ./MobileNetV3_large_x1_0_infer
-model_filename: inference.pdmodel
-params_filename: inference.pdiparams
-batch_size: 128
-data_dir: ./ILSVRC2012_data_demo/ILSVRC2012/
-img_size: 224
-resize_size: 256

example/full_quantization/image_classification/configs/mobilenetv3_large_qat_dis.yaml

@@ -4,7 +4,7 @@ Global:
   model_filename: inference.pdmodel
   params_filename: inference.pdiparams
   batch_size: 128
-  data_dir: ./ILSVRC2012_data_demo/ILSVRC2012/
+  data_dir: ./ILSVRC2012/
 
 Distillation:
   alpha: 1.0

example/full_quantization/image_classification/eval.py

@@ -33,11 +33,6 @@ def argsparser():
         type=str,
         default='./image_classification/configs/eval.yaml',
         help="path of compression strategy config.")
-    parser.add_argument(
-        '--model_dir',
-        type=str,
-        default='./MobileNetV1_infer',
-        help='model directory')
     return parser
 
 
@@ -92,6 +87,8 @@ def eval():
                 acc_num += 1
         top_5 = float(acc_num) / len(label)
         results.append([top_1, top_5])
+        if batch_id % 100 == 0:
+            print('Eval iter:', batch_id)
     result = np.mean(np.array(results), axis=0)
     return result[0]
 
@@ -103,8 +100,6 @@ def main(args):
 
     global data_dir
     data_dir = global_config['data_dir']
-    if args.model_dir != global_config['model_dir']:
-        global_config['model_dir'] = args.model_dir
 
     global img_size, resize_size
     img_size = int(global_config[