Update change.txt

Author: KenelmQLH

CHANGE.txt

@@ -1,3 +1,9 @@
+v1.0.0
+    1. Support cuda for I2V and T2V.
+    2. Add demos for downstream tasks including knowledge & difficulty & discrimination prediction, similarity prediction and paper segmentation.
+    3. Refactor quesnet for pretrain and vectorization.
+    4. Update documents about tutorials and API.
+
 v0.0.9
     1. Refactor tokenizer Basic Tokenizer and Pretrained Tokenizer
     2. Refactor model structures following huggingface styles for Elmo, BERT, DisenQNet and QuesNet

EduNLP/ModelZoo/quesnet/quesnet.py

@@ -80,6 +80,7 @@ def __init__(self, _stoi=None, meta='know_name', pretrained_embs: np.ndarray = N
         self.config = {k: v for k, v in locals().items() if k not in ["self", "__class__", "kwargs"]}
         # self.config.update(kwargs)
         self.config["architecture"] = 'quesnet'
+        self.config["hidden_size"] = self.hidden_size = feat_size
         self.config = PretrainedConfig.from_dict(self.config)
 
     def init_h(self, batch_size):

EduNLP/Pretrain/quesnet_vec.py

@@ -157,14 +157,14 @@ def _convert_to_ids(self, item: Union[str, dict, list], key=lambda x: x,
         token_item = self.tokenize(item, key)
         token_idx = []
         for _, w in enumerate(token_item):
-            if isinstance(w, FigureSegment) and 'ques_figure_ids' in item.keys():
+            if isinstance(w, FigureSegment) and isinstance(item, dict) and 'ques_figure_ids' in item.keys():
                 # image
 
                 try:
                     fig_id = f"{w.src[10:-1]}"
                     fig_index = item['ques_figure_ids'].index(fig_id)
 
-                    if self.img_dir != "":
+                    if self.img_dir is not None:
                         fig_src = os.path.join(self.img_dir, fig_id)
                         if '.png' in item['ques_figure_paths'][fig_index]:
                             fig_src += '.png'