Web🐛 Describe the bug. I defined a DataLoader with collate_fn that returns tensors in GPU memory, with num_workers=1 and prefetch_factor=2 so that as I iterate through the DataLoader, the tensors it returns are already in GPU memory.When the DataLoader is deleted, a lot of warnings are raised from CUDAGuardImpl.h.For example: WebSee Note [Sharing CUDA tensors] [W CUDAGuardImpl.h:46] Warning: CUDA warning: driver shutting down (function uncheckedGetDevice) [W CUDAGuardImpl.h:62] Warning: CUDA warning: invalid device ordinal (function uncheckedSetDevice) ```
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Web[W CUDAGuardImpl.h:46] Warning: CUDA warning: driver shutting down (function uncheckedGetDevice) [W CUDAGuardImpl.h:62] Warning: CUDA warning: invalid device ordinal (function uncheckedSetDevice) [W CUDAGuardImpl.h:46] Warning: CUDA warning: driver shutting down (function uncheckedGetDevice) WebSee Note [Sharing CUDA tensors] [W CUDAGuardImpl.h:46] Warning: CUDA warning: driver shutting down (function uncheckedGetDevice) [W CUDAGuardImpl.h:62] Warning: CUDA warning: invalid device ordinal (function uncheckedSetDevice) [W CUDAGuardImpl.h:46] Warning: CUDA warning: driver shutting down (function … how glow sticks glow
warning: cuda warning: driver shutting down (function ...
WebFeb 21, 2024 · [W CUDAGuardImpl.h:46] Warning: CUDA warning: driver shutting down (function uncheckedGetDevice) [W CUDAGuardImpl.h:62] Warning: CUDA warning: invalid device ordinal (function uncheckedSetDevice) [W CUDAGuardImpl.h:46] Warning: CUDA warning: driver shutting down (function uncheckedGetDevice) WebGitHub: Where the world builds software · GitHub 阅读了官网 Multiprocessing best practices,PyTorch官网 CUDA in multiprocessing后,我得到解决方案,只需要修改代码中的两处: 第一处:把 multiprocessing 改成 torch.multiprocessing。 直接在原有的Python多进程代码的基础上,可以直接进行以上修改,因为 torch.multiprocessing 是 … See more 并且还会在 Linux系统的 /dev/shm/目录下残留很多的临时文件(需要手动删除) 综上,这虽然是一个不影响运行的警告,但它会在 /dev/shm留下很多需要手动删除的文件,因此这是一个不得不解决的问题。 See more highest heart rate possible