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[TRTLLM-5847][feat] Support n-gram speculative decoding with disagg #5732
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cc: @pcastonguay |
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/bot run |
PR_Github #10871 [ run ] triggered by Bot |
PR_Github #10871 [ run ] completed with state |
/bot run --disable-fail-fast --add-multi-gpu-test |
@raayandhar could you rebase now that #5558 is merged? Thanks. |
@Tabrizian @SimengLiu-nv could you review the changes to py_executor.py and ngram.py respectively? Thank you |
Signed-off-by: raayandhar <[email protected]>
Signed-off-by: raayandhar <[email protected]>
Signed-off-by: raayandhar <[email protected]>
Signed-off-by: raayandhar <[email protected]>
Signed-off-by: raayandhar <[email protected]>
/bot run --disable-fail-fast --add-multi-gpu-test |
PR_Github #11176 [ run ] triggered by Bot |
Signed-off-by: raayandhar <[email protected]>
PR_Github #11176 [ run ] completed with state |
/bot run --disable-fail-fast --add-multi-gpu-test |
PR_Github #11184 [ run ] triggered by Bot |
PR_Github #11184 [ run ] completed with state |
…VIDIA#5732) Signed-off-by: raayandhar <[email protected]> Signed-off-by: Yuxin <[email protected]>
[TRTLLM-5847][feat] Support n-gram speculative decoding with disagg
Description
Currently, we do not support disagg n-gram speculative decoding. In disagg setting,
prepare_draft_tokens
is called before_forward_step
, sopy_batch_idx
is not set for the requests and on subsequent generation, the sort inprepare_draft_tokens
fails. If we sort byrequest_id
whenpy_batch_idx is None
, this prevents this issue and maintains the same sort, and on subsequent iterations, we will usepy_batch_idx
correctly.Previously, when
is_keep_all=False
, n-gram spec decoding would fail due to some small typos, this is fixed here. Additionally, MMLU as an integration test seems a bit weak for testing; I was able to get ~28% on GSM8K due to a bug, but MMLU would still pass. GSM8K seems to be more robust.Test Coverage
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