Megatron-LM changes to make Hyena/Evo 2 inference usable, especially for 40B models#1727
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antonvnv wants to merge 9 commits intoNVIDIA:mainfrom
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Megatron-LM changes to make Hyena/Evo 2 inference usable, especially for 40B models#1727antonvnv wants to merge 9 commits intoNVIDIA:mainfrom
antonvnv wants to merge 9 commits intoNVIDIA:mainfrom
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This is needed to make Evo 2 40b work on A6000 Ada x2.
Needed to pass None as inference params when we do cache-less forward pass.
If prompt length exceeds this value, it will be split into segments. This feature allows to process very large prompts that normally would cause Out Of Memory (OOM) during forward pass. Here's how it works. When the input prompt length exceeds this threshold, the generation process is split into three phases: 1. One large forward pass of input tokens up to the threshold value. 2. The rest of the prompt that exceed the threshold are processed token-by-token without sampling. This operation executes at the token generation speed (throughput) as shown. 3. Regular generation, where after the input prompt is fully processed, normal token generation with sampling resumes.
Logits reporting are required for Evo 2 NIM.
This is to make it compatible with Vortex: https://github.com/Zymrael/vortex/blob/debd9d160476b2498494507ffec0a697d3075a2d/vortex/model/sample.py#L51
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