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RuntimeError: CUDA error: no kernel image is available for execution on the device #200

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shrutic12 opened this issue Jul 12, 2023 · 0 comments

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@shrutic12
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Hi! I am trying to run the code as mentioned in the readme. However, I get the following error:

`Found GPU0 NVIDIA GeForce GT 730 which is of cuda capability 3.5.
PyTorch no longer supports this GPU because it is too old.
The minimum cuda capability supported by this library is 3.7.

warnings.warn(old_gpu_warn % (d, name, major, minor, min_arch // 10, min_arch % 10))
Processing: /home/shruti/stuff_ws/src/smplify-x/Data/images/01_img.jpg
Traceback (most recent call last):
File "smplifyx/main.py", line 272, in
main(**args)
File "smplifyx/main.py", line 245, in main
fit_single_frame(img, keypoints[[person_id]],
File "/home/shruti/stuff_ws/src/smplify-x/smplifyx/fit_single_frame.py", line 184, in fit_single_frame
pose_embedding = torch.zeros([batch_size, 32],
RuntimeError: CUDA error: no kernel image is available for execution on the device
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.
`

Any ideas how I could fix?

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