Comments (2)
mrwyattii
commented on August 22, 2024
Hi @larry-fuy thanks for using MII! I'll assume you're checking memory using with nvidia-smi - if that's the case, you are likely seeing that the total memory usage per GPU includes cached memory that can be freed. This is due to how we are loading and splitting a model across GPUs. I've created a PR that will empty the torch cache after splitting the model and the correct amount of memory usage is now reported. Please try it out: #121
As for the latency, could you share some more details to help me understand your setup?
- what GPUs are you running on and how many?
- how are you measuring latency?
- what are the exact measurements you have?
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wangshankun
commented on August 22, 2024
@mrwyattii how to get latency using mii api？
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Related Issues (20)
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