CUDA error: device-side assert triggered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

[hotcolaava]

执行到model.chat时报错, 是什么原因导致的？
代码如下：
tokenizer = AutoTokenizer.from_pretrained("c:\chatglm3-6b-128k", trust_remote_code=True)
model = AutoModel.from_pretrained("c:\chatglm3-6b-128k",trust_remote_code=True).quantize(4).cuda()
prompt_xshb="""从上文中，提取指定信息，包括:"吸收合并方"、"被吸收合并方"、"方案详情"
、"换股比例"、"定价基准日"、"现金选择权行权价格"、"现金选择权是否有调价机制"、"审批程序"等类型的
信息，输出为json格式"""
prompt_yy="""从上文中，提取指定信息，包括:"收购人"、"要约类型"、"要约价格"
、"要约数量"、"要约方案"、"要约前置条件"、"审批流程"、"要约期限"、"申报代码"等类型的
信息，输出为json格式"""
filename = 'D:\project\ChatGLM3\test\yy_sim.txt'
with open(filename, 'r', encoding='gbk') as file:
content = file.read()
print(len(content))
split_contents= content[0: 108000]
input ='{}\n\n{}'.format(split_contents, prompt_yy)
#print(input)
response, history = model.chat(tokenizer, input,history=[],top_p=1,temperature=0.01)

详细异常信息如下：

C:\cb\pytorch_1000000000000\work\aten\src\ATen\native\cuda\IndexKernel.cu:92: block: [1040,0,0], thread: [64,0,0] Assertion -sizes[i] <= index && index < sizes[i] && "index out of bounds" failed.
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C:\cb\pytorch_1000000000000\work\aten\src\ATen\native\cuda\IndexKernel.cu:92: block: [1098,0,0], thread: [65,0,0] Assertion -sizes[i] <= index && index < sizes[i] && "index out of bounds" failed.
C:\cb\pytorch_1000000000000\work\aten\src\ATen\native\cuda\IndexKernel.cu:92: block: [1098,0,0], thread: [66,0,0] Assertion -sizes[i] <= index && index < sizes[i] && "index out of bounds" failed.
C:\cb\pytorch_1000000000000\work\aten\src\ATen\native\cuda\IndexKernel.cu:92: block: [1098,0,0], thread: [67,0,0] Assertion -sizes[i] <= index && index < sizes[i] && "index out of bounds" failed.
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C:\cb\pytorch_1000000000000\work\aten\src\ATen\native\cuda\IndexKernel.cu:92: block: [1098,0,0], thread: [77,0,0] Assertion -sizes[i] <= index && index < sizes[i] && "index out of bounds" failed.
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Traceback (most recent call last):
File "D:\project\ChatGLM3\test\xshb_test.py", line 29, in
response, history = model.chat(tokenizer, input)
File "D:\ProgramData\miniconda3\envs\llm\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\Users\hotcola.cache\huggingface\modules\transformers_modules\chatglm3-6b-128k\modeling_chatglm.py", line 1067, in chat
outputs = self.generate(**inputs, **gen_kwargs, eos_token_id=eos_token_id)
File "D:\ProgramData\miniconda3\envs\llm\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\ProgramData\miniconda3\envs\llm\lib\site-packages\transformers\generation\utils.py", line 1736, in generate
result = self._sample(
File "D:\ProgramData\miniconda3\envs\llm\lib\site-packages\transformers\generation\utils.py", line 2375, in _sample
outputs = self(
File "D:\ProgramData\miniconda3\envs\llm\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\ProgramData\miniconda3\envs\llm\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\hotcola.cache\huggingface\modules\transformers_modules\chatglm3-6b-128k\modeling_chatglm.py", line 966, in forward
transformer_outputs = self.transformer(
File "D:\ProgramData\miniconda3\envs\llm\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\ProgramData\miniconda3\envs\llm\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\hotcola.cache\huggingface\modules\transformers_modules\chatglm3-6b-128k\modeling_chatglm.py", line 853, in forward
hidden_states, presents, all_hidden_states, all_self_attentions = self.encoder(
File "D:\ProgramData\miniconda3\envs\llm\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\ProgramData\miniconda3\envs\llm\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\hotcola.cache\huggingface\modules\transformers_modules\chatglm3-6b-128k\modeling_chatglm.py", line 652, in forward
layer_ret = layer(
File "D:\ProgramData\miniconda3\envs\llm\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\ProgramData\miniconda3\envs\llm\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\hotcola.cache\huggingface\modules\transformers_modules\chatglm3-6b-128k\modeling_chatglm.py", line 558, in forward
layernorm_output = self.input_layernorm(hidden_states)
File "D:\ProgramData\miniconda3\envs\llm\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\ProgramData\miniconda3\envs\llm\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\hotcola.cache\huggingface\modules\transformers_modules\chatglm3-6b-128k\modeling_chatglm.py", line 191, in forward
variance = hidden_states.to(torch.float32).pow(2).mean(-1, keepdim=True)
RuntimeError: CUDA error: device-side assert triggered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

[zRzRzRzRzRzRzR]

有超过词表外的词语，检查一下你 的输入后tokenize是不是在词表的范围内

[hotcolaava]

同样的代码和输入，在modelscope的环境上跑没有问题，在自己搭的windows环境上跑就抛异常。
modelscope环境是ubuntu22.04+torch2.1.2+cuda12.1, 自己搭的windows环境cuda12.1+torch2.1.2以及
cuda12.1+torch2.3,都有同样的异常抛出。
估计应该不是输入超词表的问题。

[hotcolaava]

没有解决怎么就被closed了，谁close的？