optimized the network of deepfm_test

model_zoo/official/cv/yolov3_darknet53/src/convert_weight.py

@@ -74,7 +74,7 @@ def convert(weights_file, output_file):
 if __name__ == "__main__":
     parser = argparse.ArgumentParser(description="yolov3 weight convert.")
     parser.add_argument("--input_file", type=str, default="./darknet53.conv.74", help="input file path.")
-    parser.add_argument("--output_file", type=str, default="./ackbone_darknet53.ckpt", help="output file path.")
+    parser.add_argument("--output_file", type=str, default="./backbone_darknet53.ckpt", help="output file path.")
     args_opt = parser.parse_args()
 
     convert(args_opt.input_file, args_opt.output_file)

tests/st/model_zoo_tests/DeepFM/process_data.py

@@ -210,11 +210,7 @@ if __name__ == "__main__":
     args, _ = parser.parse_known_args()
     base_path = args.base_path
     data_path = base_path + ""
-    # mkdir_path(data_path)
-    # if not os.path.exists(base_path + "dac.tar.gz"):
-        # os.system(
-            # "wget -P {} -c https://s3-eu-west-1.amazonaws.com/kaggle-display-advertising-challenge-dataset/dac.tar.gz --no-check-certificate".format(
-                # base_path))
+
     os.system("tar -zxvf {}dac.tar.gz".format(data_path))
     print("********tar end***********")
     data_stats = DataStatsDict()