delete shape_info_name

tools/infer/utility.py

@@ -40,7 +40,6 @@ def init_args():
     parser.add_argument("--ir_optim", type=str2bool, default=True)
     parser.add_argument("--use_tensorrt", type=str2bool, default=False)
     parser.add_argument("--min_subgraph_size", type=int, default=15)
-    parser.add_argument("--shape_info_filename", type=str, default=None)
     parser.add_argument("--precision", type=str, default="fp32")
     parser.add_argument("--gpu_mem", type=int, default=500)
 
@@ -228,7 +227,8 @@ def create_predictor(args, mode, logger):
                     use_calib_mode=False)
 
                 # collect shape
-                trt_shape_f = f"{os.path.dirname(args.shape_info_filename)}/{mode}_{os.path.basename(args.shape_info_filename)}"
+                model_name = os.path.basename(model_dir[:-1]) if model_dir.endswith("/") else os.path.basename(model_dir)
+                trt_shape_f = f"{mode}_{model_name}"
                 if trt_shape_f is not None:
                     if not os.path.exists(trt_shape_f):
                         config.collect_shape_range_info(trt_shape_f)
@@ -240,10 +240,6 @@ def create_predictor(args, mode, logger):
                             f"dynamic shape info file( {trt_shape_f} ) already exists, not need to generate again."
                         )
                     config.enable_tuned_tensorrt_dynamic_shape(trt_shape_f, True)
-                else:
-                    logger.info(
-                        f"when using tensorrt, dynamic shape is a suggested option, you can use '--shape_info_filename=shape.txt' for offline dygnamic shape tuning"
-                    )
 
         elif args.use_npu:
             config.enable_npu()