Comments (13)
我找到了解决办法,在/root/.cache/torch_extensions/ 目录下执行ninja即可生成util.so
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你是否安装了nvidia-docker?如果没装nvidia-docker,docker环境是不能用gpu的
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#24
it is caused by your own environment.
You can use the docker we provide.
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#24 it is caused by your own environment. You can use the docker we provide.
你好,我使用docker ,但是torch.cuda.is_available==False,cuda就不可用了,这可以怎么解决呢?
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#24 it is caused by your own environment. You can use the docker we provide.
服务器显卡是RTX3090,是不是docker cuda版本不兼容呢?
有什么办法可以解决么?
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可以尝试在 docker 中安装更高版本的 cuda,同时也需要重新安装对应版本的 pytorch 和 apex
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可以尝试在 docker 中安装更高版本的 cuda,同时也需要重新安装对应版本的 pytorch 和 apex
您好,我安装了cuda11.3,和对应的pytorch,但是cuda还是不可用的,请问下还有什么可能的办法么?
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什么叫 cuda 不可用呢?如果 python 环境下 torch.cuda.is_available()
输出是 False 的话,说明 pytorch 和 cuda 仍然没有对应。可以看下 python 环境中 torch.version.cuda
的输出和命令行环境中 nvcc --version
的输出是否能对应。
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我这边torch.version.cuda和nvcc --version一致,但是还是出现了与@xiao-ming-code相同的问题
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是什么问题?是 "cuda不可用" 还是 import /home/xx/.cache/torch_extensions
?
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torch.version.cuda和nvcc --version一致,但是torch.cuda.is_available()输出还是False
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这是你环境配置的问题了,可以看看环境变量是否设置正确
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can you paste the dockerfile to build image: yxthu17/eva:1.5?
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Related Issues (20)
- torch multiprocessing api failed HOT 6
- 关于huggingface的finetune前的结果出入 HOT 15
- 请问这些输出是哪里代码打印的? HOT 1
- 请问,我在运行eva_finetune的时候出现了ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 58058) of binary: HOT 6
- finetune的输入长度 HOT 1
- 这个效果是认真的吗?is this result true? HOT 1
- example.py 那里的文件路径放的都是bin的模型吗? HOT 2
- 请问role embeds参数的初始化问题 HOT 6
- error occurred when i run eva_finetune.py HOT 4
- 我停止了思考 HOT 7
- huggingface的 tokenizer报错 HOT 11
- 微调错误RuntimeError: apex.optimizers.FusedAdam requires cuda extensions HOT 4
- huggingface分支代码运行报错问题及解决方法
- 运行交互式评测报错 HOT 1
- 微调报CUDA out of memory错误 HOT 6
- RuntimeError: a leaf Variable... HOT 2
- EVA2.0-xLarge 模型? HOT 2
- 确定现在给出的这个xlarge模型没有问题吗?为什么效果这么差呀,回答都混乱了 HOT 8
- EVA3 HOT 1
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