Parallel sampling eviction #157
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masahi
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* add discord link * empty line * fix
masahi
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| f"since it has generated more than {self.max_num_batched_tokens} tokens in total" | ||
| "and currently we do not support preempting such request.", | ||
| ) | ||
| continue |
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@sunggg @elvin-n Please be aware of this limitation. Due to this, there is still a case when a parallel-sampling request is cancelled rather than preempted.
In general, we don't have a good solution for preempting a request which has generated more than max_num_batched_tokens tokens. See also #163. The easiest solution would be to stop generation at max_num_batched_tokens, but then we cannot support "unlimited" generation.
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The most interesting change is in
engine_common.pywhere I use onePrefillRequestandEvalMultiQueryRequestfor each sequence to restore cache entries for parallel-sampling requests.I couldn't find a good way to test this pragmatically. The way I tested it was to change the condition https://github.com/octoml/mlc-llm/blob/batch-serving/serve/mlc_serve/engine/engine_common.py#L327 depending on model / input to manually cause an eviction.
Ready for review @sunggg @elvin-n