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@zhangyuygss zhangyuygss commented Apr 11, 2025

Fix CPU memory leak when generate n completions per-prompt.

Related issue:
FIX #12973

When set n>1, vllm uses ParallelSampleSequenceGroup to manage and put requests into engine.
In ParallelSampleSequenceGroup, it keeps adding id: processed request pair to engine.seq_id_to_seq_group:

class ParallelSampleSequenceGroup(SequenceGroupBase):

    @staticmethod
    def add_request(request_id: str, engine, params, **kwargs):
        original_params = params
        group = ParallelSampleSequenceGroup(request_id)
        seqs = []
        for i in range(original_params.n):
            request_id_i = f"{request_id}_parallel_sample_{i}"
            group.seq_id_to_index[request_id_i] = i
            params = copy.deepcopy(original_params)
            params.n = 1
            if params.seed is not None:
                params.seed += i
            seq_group = engine._add_processed_request(
                request_id_i,
                params=params,
                **kwargs,
            )  # type: ignore
            assert seq_group is not None
            engine.seq_id_to_seq_group[request_id_i] = group
            group.to_be_finished[request_id_i] = seq_group
            seqs.append(seq_group.seqs[0])

seq_id_to_seq_group is never released during inference.

Adding clearing codes to free the memory.

…ample param n>1

Signed-off-by: 开哲 <kaizhe.zy@alibaba-inc.com>
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I thought #14326 should fix the problem. didn't know there's another place of memory leak.

@DarkLight1337 DarkLight1337 added the ready ONLY add when PR is ready to merge/full CI is needed label Apr 22, 2025
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Tests pass so this should be good to go, thanks

@DarkLight1337 DarkLight1337 merged commit 6167c0e into vllm-project:main Apr 24, 2025
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gshtras added a commit to ROCm/vllm that referenced this pull request Apr 25, 2025
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---------

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Co-authored-by: MagnetoWang <magnetowang@outlook.com>
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Co-authored-by: rasmith <Randall.Smith@amd.com>
Co-authored-by: Luka Govedič <lgovedic@redhat.com>
Co-authored-by: Lu Fang <30275821+houseroad@users.noreply.github.com>
Co-authored-by: Alex Brooks <alex.brooks@ibm.com>
Co-authored-by: Cyrus Leung <tlleungac@connect.ust.hk>
Co-authored-by: Jasmond L <120363110+JasmondL@users.noreply.github.com>
ganyi1996ppo pushed a commit to vllm-project/vllm-ascend that referenced this pull request Apr 28, 2025
…roup (#691)

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### What this PR does / why we need it?

Fix CPU memory leak issue as is stated in
vllm-project/vllm#16472
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### Does this PR introduce _any_ user-facing change?
No
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### How was this patch tested?
With CI
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Signed-off-by: Shuqiao Li <celestialli@outlook.com>
jikunshang pushed a commit to jikunshang/vllm that referenced this pull request Apr 29, 2025
…when s… (vllm-project#16472)

Signed-off-by: 开哲 <kaizhe.zy@alibaba-inc.com>
Co-authored-by: 开哲 <kaizhe.zy@alibaba-inc.com>
lk-chen pushed a commit to lk-chen/vllm that referenced this pull request Apr 29, 2025
…when s… (vllm-project#16472)

Signed-off-by: 开哲 <kaizhe.zy@alibaba-inc.com>
Co-authored-by: 开哲 <kaizhe.zy@alibaba-inc.com>
bwshen-mi pushed a commit to XiaomiMiMo/vllm that referenced this pull request Apr 30, 2025
…when s… (vllm-project#16472)

Signed-off-by: 开哲 <kaizhe.zy@alibaba-inc.com>
Co-authored-by: 开哲 <kaizhe.zy@alibaba-inc.com>
adobrzyn pushed a commit to HabanaAI/vllm-fork that referenced this pull request Apr 30, 2025
…when s… (vllm-project#16472)

Signed-off-by: 开哲 <kaizhe.zy@alibaba-inc.com>
Co-authored-by: 开哲 <kaizhe.zy@alibaba-inc.com>
Signed-off-by: Agata Dobrzyniewicz <adobrzyniewicz@habana.ai>
RichardoMrMu pushed a commit to RichardoMrMu/vllm that referenced this pull request May 12, 2025
…when s… (vllm-project#16472)

Signed-off-by: 开哲 <kaizhe.zy@alibaba-inc.com>
Co-authored-by: 开哲 <kaizhe.zy@alibaba-inc.com>
Signed-off-by: Mu Huai <tianbowen.tbw@antgroup.com>
minpeter pushed a commit to minpeter/vllm that referenced this pull request Jun 24, 2025
…when s… (vllm-project#16472)

Signed-off-by: 开哲 <kaizhe.zy@alibaba-inc.com>
Co-authored-by: 开哲 <kaizhe.zy@alibaba-inc.com>
Signed-off-by: minpeter <kali2005611@gmail.com>
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[Bug]: When using the VLLM framework to load visual models, CPU memory overflow occurs while continuously processing data with images.
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