Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
File c:\Users\dongyuwu.conda\envs\hanlp\lib\site-packages\hanlp\common\keras_component.py:479, in KerasComponent.predict(self, data, batch_size, **kwargs)
477 data_is_list = isinstance(data, list)
478 print(dataset)
--> 479 for idx, batch in enumerate(dataset):
480 samples_in_batch = tf.shape(
481 batch[-1] if isinstance(batch[-1], tf.Tensor) else batch[-1][0])[0]
482 if data_is_list:
...
ValueError: not enough values to unpack (expected 4, got 3)
[[{{node PyFunc}}]] [Op:IteratorGetNext] name:
System information
OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
Python version:3.8.18
HanLP version: 2.1.0b51
Other info / logs
Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.
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hankcs
commented
11 months ago
Describe the bug 在本地运行SDP语义依存分析模型时候出现了bug
Code to reproduce the issue
Describe the current behavior
InvalidArgumentError Traceback (most recent call last) d:\Projects\vscode\oj\oj1.ipynb Cell 3 line 6 4 xx=hanlp.pretrained.sdp.SEMEVAL15_PSD_BIAFFINE_EN 5 HanLP = hanlp.load(xx,devices=torch.device('cpu'))
Expected behavior A clear and concise description of what you expected to happen. ----> 6 HanLP(['abc def ghk'])
File c:\Users\dongyuwu.conda\envs\hanlp\lib\site-packages\hanlp\common\component.py:36, in Component.call(self, *args, kwargs) 25 def call(self, *args, *kwargs): 26 """ 27 A shortcut for :func:
~hanlp.common.component.predict. 28 (...) 34 35 """ ---> 36 return self.predict(args, kwargs)File c:\Users\dongyuwu.conda\envs\hanlp\lib\site-packages\hanlp\common\keras_component.py:479, in KerasComponent.predict(self, data, batch_size, **kwargs) 477 data_is_list = isinstance(data, list) 478 print(dataset) --> 479 for idx, batch in enumerate(dataset): 480 samples_in_batch = tf.shape( 481 batch[-1] if isinstance(batch[-1], tf.Tensor) else batch[-1][0])[0] 482 if data_is_list: ...
ValueError: not enough values to unpack (expected 4, got 3)
System information
Other info / logs Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.