update hpi config

Author: zhangyubo0722

paddlex/inference/components/paddle_predictor/predictor.py

@@ -174,7 +174,6 @@ def apply(self, **kwargs):
         for idx in range(len(x)):
             self.input_handlers[idx].reshape(x[idx].shape)
             self.input_handlers[idx].copy_from_cpu(x[idx])
-
         self.predictor.run()
         output = []
         for out_tensor in self.output_handlers:

paddlex/repo_apis/PaddleClas_api/cls/model.py

@@ -117,8 +117,6 @@ def train(
             uniform_output_enabled = kwargs.pop("uniform_output_enabled", True)
             config.update([f"Global.uniform_output_enabled={uniform_output_enabled}"])
             config.update([f"Global.pdx_model_name={self.name}"])
-            hpi_config_path = self.model_info.get("hpi_config_path", None)
-            config.update([f"Global.hpi_config_path={hpi_config_path}"])
 
             config.dump(config_path)
             self._assert_empty_kwargs(kwargs)
@@ -232,9 +230,9 @@ def export(self, weight_path: str, save_dir: str, **kwargs) -> CompletedProcess:
             if device:
                 config.update_device(device)
             # PDX related settings
+            uniform_output_enabled = kwargs.pop("uniform_output_enabled", True)
+            config.update([f"Global.uniform_output_enabled={uniform_output_enabled}"])
             config.update([f"Global.pdx_model_name={self.name}"])
-            hpi_config_path = self.model_info.get("hpi_config_path", None)
-            config.update([f"Global.hpi_config_path={hpi_config_path}"])
 
             config.dump(config_path)