Merge pull request #154 from KenelmQLH/dev

[DOC] Update change.txt

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):