web-stable-diffusion
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building for target webgpu results in "ValueError: At least one GPU backend is expected to be enabled"
Using version https://github.com/mlc-ai/web-stable-diffusion/tree/ce0c2fbd0fffd7ee39e7be9da34052a8809d98db
environment: Ubuntu 22 LTS server without graphics card.
Executing
python3 build.py --target webgpu
causes the following error:
Traceback (most recent call last):
File "build.py", line 153, in <module>
torch_dev_key = utils.detect_available_torch_device()
File "web_stable_diffusion/utils.py", line 14, in detect_available_torch_device
raise ValueError("At least one GPU backend is expected to be enabled")
ValueError: At least one GPU backend is expected to be enabled
See https://github.com/mlc-ai/web-stable-diffusion/blob/ce0c2fbd0fffd7ee39e7be9da34052a8809d98db/web_stable_diffusion/utils.py#L14 .
Is it possible to enable a GPU backend in torch even if the building system environment does not provide that GPU backend?
I am using that step by changing build.py:153 to simply say "cuda" - the only other option being 'Metal' for MacOS. Perhaps you are mixing using the commands to assign tvm target etc in the colab cells - then on the Terminal CLI - there is no torch-dev-key variable defined.
EDIT: i am still unable to finish the build though..
you should choose gpu supported wheel at that page, the default link links to a cpu version of wheel