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Decem-Y avatar Decem-Y commented on September 6, 2024 4

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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aaa123git avatar aaa123git commented on September 6, 2024 1

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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xwwwwww avatar xwwwwww commented on September 6, 2024

#24
it is caused by your own environment.
You can use the docker we provide.

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xiao-ming-code avatar xiao-ming-code commented on September 6, 2024

#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?
image

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xiao-ming-code avatar xiao-ming-code commented on September 6, 2024

#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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t1101675 avatar t1101675 commented on September 6, 2024

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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xiao-ming-code avatar xiao-ming-code commented on September 6, 2024

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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t1101675 avatar t1101675 commented on September 6, 2024

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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Sylarair avatar Sylarair commented on September 6, 2024

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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t1101675 avatar t1101675 commented on September 6, 2024

是什么问题?是 "cuda不可用" 还是 import /home/xx/.cache/torch_extensions

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xiao-ming-code avatar xiao-ming-code commented on September 6, 2024

torch.version.cuda和nvcc --version一致,但是torch.cuda.is_available()输出还是False

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t1101675 avatar t1101675 commented on September 6, 2024

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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xxf09th avatar xxf09th commented on September 6, 2024

can you paste the dockerfile to build image: yxthu17/eva:1.5?

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