fix bugs: fixed calib_steps (#42)

Fixed quantized function not being able to modify Calib Steps

Util.py

@@ -72,14 +72,14 @@ def load_calibration_dataset(directory: str, input_shape: List[int], batchsize:
 
 def quantize(working_directory: str, setting: QuantizationSetting, model_type: NetworkFramework,
              executing_device: str, input_shape: List[int], target_platform: TargetPlatform,
-             dataloader: DataLoader, calib_steps: int =32) -> BaseGraph:
+             dataloader: DataLoader, calib_steps: int=32) -> BaseGraph:
     if model_type == NetworkFramework.ONNX:
         if not os.path.exists(os.path.join(working_directory, 'model.onnx')):
             raise FileNotFoundError(f'无法找到你的模型: {os.path.join(working_directory, "model.onnx")}，'
                                     '如果你使用caffe的模型，请设置MODEL_TYPE为CAFFE')
         return quantize_onnx_model(
             onnx_import_file=os.path.join(working_directory, 'model.onnx'),
-            calib_dataloader=dataloader, calib_steps=32, input_shape=input_shape, setting=setting,
+            calib_dataloader=dataloader, calib_steps=calib_steps, input_shape=input_shape, setting=setting,
             platform=target_platform, device=executing_device, collate_fn=lambda x: x.to(executing_device)
         )
     if model_type == NetworkFramework.CAFFE: