device agnostic models testing#27146
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ydshieh merged 5 commits intohuggingface:mainfrom Oct 31, 2023
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Thanks for opening this PR @statelesshz ! Let us know when you'd like a review |
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Due to network issue， it's not easy to download the model weights on huggingface hub from my area, so I take |
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Marking this ready for review :-) @ydshieh and @amyeroberts |
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Another great PR - thank you!
Happy to merge once @ydshieh gives his 👍
| model = self.all_generative_model_classes[0](config).eval().to(torch_device) | ||
| if torch_device == "cuda": | ||
| model.half() | ||
| model.half() |
ydshieh
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Oct 31, 2023
| @slow | ||
| @require_torch_gpu | ||
| @require_torch_accelerator | ||
| @require_torch_fp16 |
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Oops, the fp16 decorator was misused here. Thanks for pointing it out
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Nice to know bert works well on NPU! |
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Thank you @statelesshz the king of NPU! |
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. |
EduardoPach
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Nov 19, 2023
* device agnostic models testing * add decorator `require_torch_fp16` * make style * apply review suggestion * Oops, the fp16 decorator was misused
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What does this PR do?
Part of #25654 (comment)
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