df58fb80ee
<!-- Thanks for sending a pull request! BEFORE SUBMITTING, PLEASE READ https://docs.vllm.ai/en/latest/contributing/overview.html --> ### What this PR does / why we need it? <!-- - Please clarify what changes you are proposing. The purpose of this section is to outline the changes and how this PR fixes the issue. If possible, please consider writing useful notes for better and faster reviews in your PR. - Please clarify why the changes are needed. For instance, the use case and bug description. - Fixes # --> Make spec decode support for V1 Engine - Currently, Ascend does not support the triton kernel. PyTorch is used to rewrite the `rejection_sampler.py` triton kernel. However, PyTorch is not as good as Triton. Therefore, ascend c is used to implement the function in the future. - Currently, spec decode supports only the ngram algorithm. The eagle algorithm needs to be further adapted. ### Does this PR introduce _any_ user-facing change? <!-- Note that it means *any* user-facing change including all aspects such as API, interface or other behavior changes. Documentation-only updates are not considered user-facing changes. --> Not change user facing. ### How was this patch tested? <!-- CI passed with new added/existing test. If it was tested in a way different from regular unit tests, please clarify how you tested step by step, ideally copy and paste-able, so that other reviewers can test and check, and descendants can verify in the future. If tests were not added, please describe why they were not added and/or why it was difficult to add. --> test by `tests/singlecard/spec_decode/e2e/test_v1_spec_decode.py` and `tests/sample/test_rejection_sampler.py`, test base function of rejection sampler and e2e function of spec decode. Signed-off-by: ponix-j <657511300@qq.com>
13 lines
140 B
Plaintext
13 lines
140 B
Plaintext
-r requirements-lint.txt
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-r requirements.txt
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modelscope
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openai
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pytest >= 6.0
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pytest-asyncio
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lm-eval
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ray
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types-jsonschema
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xgrammar
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zmq
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numba
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