IndexError: dimension specified as 0 but tensor has no dimensions

[HughTang]

在完成RNN/LSTM模型的训练之后，使用指令textclf --config-file test_rnn.json test进行模型测试的时候，报错如下： Load checkpoint from ckpts/best.pt.. Traceback (most recent call last): File "d:\anaconda3\lib\runpy.py", line 193, in _run_module_as_main "main", mod_spec) File "d:\anaconda3\lib\runpy.py", line 85, in run_code exec(code, run_globals) File "D:\Anaconda3\Scripts\textclf.exe_main.py", line 9, in File "d:\anaconda3\lib\site-packages\click\core.py", line 764, in call return self.main(*args, **kwargs) File "d:\anaconda3\lib\site-packages\click\core.py", line 717, in main rv = self.invoke(ctx) File "d:\anaconda3\lib\site-packages\click\core.py", line 1137, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "d:\anaconda3\lib\site-packages\click\core.py", line 956, in invoke return ctx.invoke(self.callback, **ctx.params) File "d:\anaconda3\lib\site-packages\click\core.py", line 555, in invoke return callback(*args, **kwargs) File "d:\anaconda3\lib\site-packages\click\decorators.py", line 17, in new_func return f(get_current_context(), *args, **kwargs) File "d:\anaconda3\lib\site-packages\textclf\main.py", line 72, in test tester.test() File "d:\anaconda3\lib\site-packages\textclf\tester\base_tester.py", line 16, in test self.test_file() File "d:\anaconda3\lib\site-packages\textclf\tester\base_tester.py", line 78, in test_file predict = self.predict_label(text) File "d:\anaconda3\lib\site-packages\textclf\tester\dl_tester.py", line 58, in predict_label logits = self.model(text_processed, text_len) File "d:\anaconda3\lib\site-packages\torch\nn\modules\module.py", line 541, in call result = self.forward(*input, **kwargs) File "d:\anaconda3\lib\site-packages\textclf\models\dl_model.py", line 24, in forward logits = self.classifier(embedding, lens) File "d:\anaconda3\lib\site-packages\torch\nn\modules\module.py", line 541, in call result = self.forward(*input, **kwargs) File "d:\anaconda3\lib\site-packages\textclf\models\classifier\rnn.py", line 30, in forward context = self.attention_layer(outputs, seq_lens) File "d:\anaconda3\lib\site-packages\torch\nn\modules\module.py", line 541, in call result = self.forward(*input, **kwargs) File "d:\anaconda3\lib\site-packages\textclf\models\classifier\components.py", line 81, in forward attn_logits[i][seq_len.item():] = -1e9 IndexError: dimension specified as 0 but tensor has no dimensions

[HughTang]

我咨询了原作者，该问题的反馈如下：①检查pytorch版本，确保torch==1.4.0；②若版本无误，可以将训练RNN时自定义生成的json文件（train_rnn.json）中的use_attention设置为false。 经过上述两个步骤，问题应该可以得到解决，作者反馈use_attention部分的代码实现有一些问题，后续会进行调整。