add task name for the log (PaddlePaddle#1118)

Author: wawltor

paddlenlp/taskflow/dependency_parsing.py

@@ -112,7 +112,7 @@ def __init__(self,
                 ddparser, ddparser-ernie-1.0 and ddoarser-ernie-gram-zh")
         word_vocab_path = download_file(
             self._task_path, self.model + os.path.sep + "word_vocab.json",
-            URLS[self.model][0], URLS[self.model][1])
+            URLS[self.model][0], URLS[self.model][1], self.model)
         rel_vocab_path = download_file(
             self._task_path, self.model + os.path.sep + "rel_vocab.json",
             URLS[self.model][0], URLS[self.model][1])

paddlenlp/taskflow/lexical_analysis.py

@@ -95,7 +95,7 @@ def __init__(self, task, model, **kwargs):
         self._usage = usage
         word_dict_path = download_file(
             self._task_path, "lac_params" + os.path.sep + "word.dic",
-            URLS['lac_params'][0], URLS['lac_params'][1])
+            URLS['lac_params'][0], URLS['lac_params'][1], 'lexical_analysis')
         tag_dict_path = download_file(
             self._task_path, "lac_params" + os.path.sep + "tag.dic",
             URLS['lac_params'][0], URLS['lac_params'][1])

paddlenlp/taskflow/sentiment_analysis.py

@@ -115,7 +115,7 @@ def _construct_model(self, model):
             padding_idx=pad_token_id,
             pooling_type='max')
         model_path = download_file(self._task_path, model + ".pdparams",
-                                   URLS[model][0], URLS[model][1])
+                                   URLS[model][0], URLS[model][1], model)
 
         # Load the model parameter for the predict
         state_dict = paddle.load(model_path)
@@ -234,7 +234,7 @@ def _construct_model(self, model):
         model_instance = SkepSequenceModel.from_pretrained(
             model, num_classes=len(self._label_map))
         model_path = download_file(self._task_path, model + ".pdparams",
-                                   URLS[model][0], URLS[model][1])
+                                   URLS[model][0], URLS[model][1], model)
         state_dict = paddle.load(model_path)
         model_instance.set_state_dict(state_dict)
         self._model = model_instance

paddlenlp/taskflow/text_correction.py

@@ -139,7 +139,7 @@ def _construct_model(self, model):
             pad_pinyin_id=self._pinyin_vocab[self._pinyin_vocab.pad_token])
         # Load the model parameter for the predict
         model_path = download_file(self._task_path, model + ".pdparams",
-                                   URLS[model][0], URLS[model][1])
+                                   URLS[model][0], URLS[model][1], model)
         state_dict = paddle.load(model_path)
         model_instance.set_state_dict(state_dict)
         model_instance.eval()

paddlenlp/taskflow/text_generation.py

@@ -74,7 +74,7 @@ def __init__(self, task, model, **kwargs):
         if self._static_mode:
             download_file(self._task_path,
                           "static" + os.path.sep + "inference.pdiparams",
-                          URLS[self.model][0], URLS[self.model][1])
+                          URLS[self.model][0], URLS[self.model][1], model)
             self._get_inference_model()
         else:
             self._construct_model(model)