报错

[ZXB1020]

Some weights of the model checkpoint at ../model_hub/bert-base-chinese/ were not used when initializing BertModel: ['cls.predictions.transform.dense.bias', 'cls.predictions. transform.LayerNorm.weight', 'cls.predictions.transform.dense.weight', 'cls.predictions.decoder.weight', 'cls.seq_relationship.weight', 'cls.seq_relationship.bias', 'cls.pre dictions.bias', 'cls.predictions.transform.LayerNorm.bias']

• This IS expected if you are initializing BertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequence Classification model from a BertForPreTraining model).
• This IS NOT expected if you are initializing BertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification File "C:\Users\zj156\PycharmProjects\Model1\venv\lib\site-packages\torch\nn\modules\module.py", line 579, in _apply module._apply(fn) File "C:\Users\zj156\PycharmProjects\Model1\venv\lib\site-packages\torch\nn\modules\module.py", line 579, in _apply module._apply(fn) File "C:\Users\zj156\PycharmProjects\Model1\venv\lib\site-packages\torch\nn\modules\module.py", line 602, in _apply param_applied = fn(param) File "C:\Users\zj156\PycharmProjects\Model1\venv\lib\site-packages\torch\nn\modules\module.py", line 925, in convert return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking) File "C:\Users\zj156\PycharmProjects\Model1\venv\lib\site-packages\torch\cuda__init__.py", line 211, in _lazy_init raise AssertionError("Torch not compiled with CUDA enabled") AssertionError: Torch not compiled with CUDA enabled (venv) PS C:\Users\zj156\Desktop\pytorch_bert_multi_classification-main>

[taishan1994]

• AssertionError: Torch not compiled with CUDA enabled

是否装了GPU版本的pytorch，电脑上是否有GPU可用。

[ZXB1020]

明白了，谢谢！