Default to CUDA if available #431
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Unless user specifies device, default it to CUDA if it's available on the platform. As for all models, other than TinyLlama inference on GPU will be faster than on CPU
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Not sure if this will work though, need to run some local tests... |
mikekgfb
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malfet
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Unless user specifies device, default it to CUDA if it's available on the platform. As for all models, other than TinyLlama inference on GPU will be faster than on CPU
malfet
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Jul 17, 2024
Unless user specifies device, default it to CUDA if it's available on the platform. As for all models, other than TinyLlama inference on GPU will be faster than on CPU
malfet
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Jul 17, 2024
Unless user specifies device, default it to CUDA if it's available on the platform. As for all models, other than TinyLlama inference on GPU will be faster than on CPU
malfet
added a commit
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Jul 17, 2024
Unless user specifies device, default it to CUDA if it's available on the platform. As for all models, other than TinyLlama inference on GPU will be faster than on CPU
malfet
added a commit
that referenced
this pull request
Jul 17, 2024
Unless user specifies device, default it to CUDA if it's available on the platform. As for all models, other than TinyLlama inference on GPU will be faster than on CPU
malfet
added a commit
that referenced
this pull request
Jul 17, 2024
Unless user specifies device, default it to CUDA if it's available on the platform. As for all models, other than TinyLlama inference on GPU will be faster than on CPU
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Unless user specifies device, default it to CUDA if it's available on the platform.
As for all models, other than TinyLlama inference on GPU will be faster than on CPU