Comments (5)
PyTorch 2.0.1+cu118 with CUDA 1108 (you have 2.0.1+cpu)
Hi, 检查下你安装的pytorch,是不是CPU版的?
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I have the same error as you, and it seems that the official provided code is not working as expected. I had to manually execute conda install pytorch==2.0.1 torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia
and specify KMP_DUPLICATE_LIB_OK=TRUE
to make it work.
Then I encountered a second issue, which is an charset problem. If you also encounter it, add "encoding='UTF-8'" to all the "open" function calls.
from anytext.
我和你有同样的错误,看来官方提供的代码没有按预期工作。我必须手动执行
conda install pytorch==2.0.1 torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia
并指定KMP_DUPLICATE_LIB_OK=TRUE
才能使其工作。 然后我又遇到了第二个问题,就是字符集问题。如果您也遇到这种情况,请在所有打开的调用中添加“encoding='UTF-8'”。
我也碰到了这个问题,请问 " 指定KMP_DUPLICATE_LIB_OK=TRUE
" 这一步怎么操作?
from anytext.
我和你有同样的错误,看来官方提供的代码没有按预期工作。我必须手动执行
conda install pytorch==2.0.1 torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia
并指定KMP_DUPLICATE_LIB_OK=TRUE
才能使其工作。 然后我又遇到了第二个问题,就是字符集问题。如果您也遇到这种情况,请在所有打开的调用中添加“encoding='UTF-8'”。我也碰到了这个问题,请问 " 指定
KMP_DUPLICATE_LIB_OK=TRUE
" 这一步怎么操作?
Add that to an environment variable, for example, use "set KMP_DUPLICATE_LIB_OK=TRUE
" for Windows or "export KMP_DUPLICATE_LIB_OK=TRUE
" for Unix-like systems.
from anytext.
我和你也有同样的错误,看来官方提供的代码没有按预期工作。我必须手动执行
conda install pytorch==2.0.1 torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia
并指定KMP_DUPLICATE_LIB_OK=TRUE
权限工作。然后我又遇到了第二个问题,就是字符集问题。如果您也遇到这种情况,请在所有打开的调用中添加“encoding='UTF-8'”。我也搞清楚了这个问题,请问“指定
KMP_DUPLICATE_LIB_OK=TRUE
”这一步怎么操作?将其添加到环境变量中,例如,
set KMP_DUPLICATE_LIB_OK=TRUE
对于 Windows 使用“”,export KMP_DUPLICATE_LIB_OK=TRUE
对于类 Unix 系统使用“”。
万分感激你的回复与指导,仿佛把我拉出无尽黑暗的深渊,感谢!
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Related Issues (20)
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