huggingface / huggingface/lighteval
Improving input token throughput?
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- Python
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Description
so, i ran some benchmark with VLLM (I actually modified some parts of the code so it would work with vllm on tpu), and the logs show something like this:
```
Processed prompts: 16%|▏| 1456/9263 [37:28<11:01:04, 5.08s/it, est. speed input: 86.99 toks/s, outp ProceProcessed prompts: 64%|████████████████████████████████████████████████████████
| 5971/9263 [2:16:18<1:17:49, 1.42s/it, est. speed input: 72.62 toks/s, output: 2683.22 toks/s]
```
the input tok/s is much worse compared to the output tok/s, do you think this could be a bottleneck?
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