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Comments (5)

louis-jan avatar louis-jan commented on August 29, 2024 1

Root cause:
The extension detects only GPU models that start with 30 or 40. Which is incorrect, should cover other cases (E.g. Axx)

from jan.

cbai970 avatar cbai970 commented on August 29, 2024

im subbing to this, when you get a solution, Ill retest on that same platform.

from jan.

cbai970 avatar cbai970 commented on August 29, 2024

Im happy to help move this forward but I dont know the full .js tree and how it gets created to the point where we hit this bug. Ive been been reading through as much Tensorflow and Tensorflow-LLM documentation as I can but not entirely sure.

If i could have someone tell me how we end up getting to "index.js" in the spawning of the tree, Ill do my best to post what I find (if it helps) , I am under the assumption that this function ends up calling a "compile from source against Arch(itecture)" thread, but maybe Im wrong.

give me a little friends, and Ill give you a lot :) p.s. I am a former defect research engineer...

from jan.

louis-jan avatar louis-jan commented on August 29, 2024

Is a possible fix coming from cortex-cpp? cc @imtuyethan @Van-QA

from jan.

cbai970 avatar cbai970 commented on August 29, 2024

Root cause: The extension detects only GPU models that start with 30 or 40. Which is incorrect, should cover other cases (E.g. Axx)

I would go with CUDA compute levels, unless there are additional architectural reasons not to, but I could not find any.

I was actually trying to figure out how to code myself, but (again) im not a programmer kind of afraid of breaking stuff, Also... this is all gets autogenerated when Jan first executes (and regens when you reset, because i definitely tested that) so Im not sure what root this all comes out from.

from jan.

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