[Model][0/N] Improve all pooling task | clean up #25817

noooop · 2025-09-28T03:54:04Z

Improve all pooling task

[Model][0/N] Improve all pooling task | clean up #25817
[Frontend][1/N] Improve all pooling task | Support FP16 Embedding Base64 (Still uses fp32 by default). #26414
[Model][2/N] Improve all pooling task | Support multi-vector retrieval #25370
[Frontend][3/N] Improve all pooling task | Support binary embedding response #27066
[Frontend][4/N] Improve all pooling task | Add plugin pooling task #26973
[Frontend][Doc][5/N] Improve all pooling task | Polish encode (pooling) api & Document. #25524

These PRs are mostly conflicting with each other, so combining them into a series would better inform reviewers about what happened. And what else needs to be done after that?

Purpose

Fix some minor issues found during the implementation of this series to keep subsequent PRs cleaner.

add embedding_size
add VLLM_CI_ENFORCE_EAGER & get_vllm_extra_kwargs
ner.py -> ner_client.py
fix gpt2 seq cls & add test_head_dtype.py
clean GritLM
fix skip_global_cleanup
fix test_splade_pooler

Test Plan

keep ci grean

Test Result

Essential Elements of an Effective PR Description Checklist

The purpose of the PR, such as "Fix some issue (link existing issues this PR will resolve)".
The test plan, such as providing test command.
The test results, such as pasting the results comparison before and after, or e2e results
(Optional) The necessary documentation update, such as updating supported_models.md and examples for a new model.
(Optional) Release notes update. If your change is user facing, please update the release notes draft in the Google Doc.

mergify · 2025-09-28T03:54:38Z

This pull request has merge conflicts that must be resolved before it can be
merged. Please rebase the PR, @noooop.

https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork

mergify · 2025-10-11T05:46:43Z

This pull request has merge conflicts that must be resolved before it can be
merged. Please rebase the PR, @noooop.

https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork

Signed-off-by: wang.yuqi <noooop@126.com>

mergify · 2025-10-11T08:24:07Z

Documentation preview: https://vllm--25817.org.readthedocs.build/en/25817/

Signed-off-by: wang.yuqi <noooop@126.com>

noooop · 2025-10-11T08:58:42Z

cc @DarkLight1337

Ready for review

Signed-off-by: wang.yuqi <noooop@126.com>

DarkLight1337 · 2025-10-13T05:43:10Z

The pooling tests are still failing

Signed-off-by: wang.yuqi <noooop@126.com>

noooop · 2025-10-13T07:11:19Z

The pooling tests are still failing

�[1;36m(EngineCore_DP0 pid=6682)�[0;0m INFO 10-13 15:07:35 [cuda.py:421] Using FlexAttention backend for head_size=8 on V1 engine.

......

�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   File "/share/PycharmProjects/noooop_vllm5/vllm/v1/attention/backends/flex_attention.py", line 843, in forward
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     out = flex_attention_compiled(
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m           ^^^^^^^^^^^^^^^^^^^^^^^^
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   File "/share/anaconda3/envs/noooop_vllm5/lib/python3.12/site-packages/torch/_dynamo/eval_frame.py", line 749, in compile_wrapper
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     raise e.remove_dynamo_frames() from None  # see TORCHDYNAMO_VERBOSE=1
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   File "/share/anaconda3/envs/noooop_vllm5/lib/python3.12/site-packages/torch/_inductor/compile_fx.py", line 923, in _compile_fx_inner
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     raise InductorError(e, currentframe()).with_traceback(
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   File "/share/anaconda3/envs/noooop_vllm5/lib/python3.12/site-packages/torch/_inductor/compile_fx.py", line 907, in _compile_fx_inner
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     mb_compiled_graph = fx_codegen_and_compile(
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m                         ^^^^^^^^^^^^^^^^^^^^^^^
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   File "/share/anaconda3/envs/noooop_vllm5/lib/python3.12/site-packages/torch/_inductor/compile_fx.py", line 1578, in fx_codegen_and_compile
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs)
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   File "/share/anaconda3/envs/noooop_vllm5/lib/python3.12/site-packages/torch/_inductor/compile_fx.py", line 1377, in codegen_and_compile
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     graph.run(*example_inputs)
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   File "/share/anaconda3/envs/noooop_vllm5/lib/python3.12/site-packages/torch/_inductor/graph.py", line 921, in run
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     return super().run(*args)
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m            ^^^^^^^^^^^^^^^^^^
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   File "/share/anaconda3/envs/noooop_vllm5/lib/python3.12/site-packages/torch/fx/interpreter.py", line 173, in run
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     self.env[node] = self.run_node(node)
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m                      ^^^^^^^^^^^^^^^^^^^
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   File "/share/anaconda3/envs/noooop_vllm5/lib/python3.12/site-packages/torch/_inductor/graph.py", line 1599, in run_node
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     result = super().run_node(n)
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m              ^^^^^^^^^^^^^^^^^^^
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   File "/share/anaconda3/envs/noooop_vllm5/lib/python3.12/site-packages/torch/fx/interpreter.py", line 242, in run_node
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     return getattr(self, n.op)(n.target, args, kwargs)
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   File "/share/anaconda3/envs/noooop_vllm5/lib/python3.12/site-packages/torch/_inductor/graph.py", line 1268, in call_function
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     raise LoweringException(e, target, args, kwargs).with_traceback(
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   File "/share/anaconda3/envs/noooop_vllm5/lib/python3.12/site-packages/torch/_inductor/graph.py", line 1258, in call_function
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     out = lowerings[target](*args, **kwargs)  # type: ignore[index]
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   File "/share/anaconda3/envs/noooop_vllm5/lib/python3.12/site-packages/torch/_inductor/lowering.py", line 446, in wrapped
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     out = decomp_fn(*args, **kwargs)
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m           ^^^^^^^^^^^^^^^^^^^^^^^^^^
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   File "/share/anaconda3/envs/noooop_vllm5/lib/python3.12/site-packages/torch/_inductor/kernel/flex_attention.py", line 1311, in flex_attention
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     raise NotImplementedError(
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m torch._inductor.exc.InductorError: LoweringException: NotImplementedError: NYI: embedding dimension of the query, key, and value must be at least 16 but got E=8 and Ev=8
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   target: flex_attention
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   args[0]: TensorBox(StorageBox(
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     InputBuffer(name='arg0_1', layout=FixedLayout('cuda:0', torch.float16, size=[1, 4, 12, 8], stride=[1152, 8, 96, 1]))
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   ))
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   args[1]: TensorBox(StorageBox(
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     InputBuffer(name='arg1_1', layout=FixedLayout('cuda:0', torch.float16, size=[1, 4, 12, 8], stride=[1152, 8, 96, 1]))
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   ))
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   args[2]: TensorBox(StorageBox(
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     InputBuffer(name='arg2_1', layout=FixedLayout('cuda:0', torch.float16, size=[1, 4, 12, 8], stride=[1152, 8, 96, 1]))
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   ))
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   args[3]: Subgraph(name='sdpa_score0', graph_module=<lambda>(), graph=None)
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   args[4]: (12, 12, TensorBox(StorageBox(
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     InputBuffer(name='arg4_1', layout=FixedLayout('cuda:0', torch.int32, size=[1, 1, 1], stride=[1, 1, 1]))
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   )), TensorBox(StorageBox(
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     InputBuffer(name='arg3_1', layout=FixedLayout('cuda:0', torch.int32, size=[1, 1, 1, 1], stride=[1, 1, 1, 1]))
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   )), TensorBox(StorageBox(
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     InputBuffer(name='arg6_1', layout=FixedLayout('cuda:0', torch.int32, size=[1, 1, 1], stride=[1, 1, 1]))
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   )), TensorBox(StorageBox(
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     InputBuffer(name='arg7_1', layout=FixedLayout('cuda:0', torch.int32, size=[1, 1, 1, 1], stride=[1, 1, 1, 1]))
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   )), TensorBox(StorageBox(
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     InputBuffer(name='arg8_1', layout=FixedLayout('cuda:0', torch.int32, size=[1, 1, 1], stride=[1, 1, 1]))
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   )), TensorBox(StorageBox(
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     InputBuffer(name='arg9_1', layout=FixedLayout('cuda:0', torch.int32, size=[1, 1, 1, 1], stride=[1, 1, 1, 1]))
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   )), TensorBox(StorageBox(
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     InputBuffer(name='arg10_1', layout=FixedLayout('cuda:0', torch.int32, size=[1, 1, 1], stride=[1, 1, 1]))
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   )), TensorBox(StorageBox(
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     InputBuffer(name='arg11_1', layout=FixedLayout('cuda:0', torch.int32, size=[1, 1, 1, 1], stride=[1, 1, 1, 1]))
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   )), 128, 128, Subgraph(name='sdpa_mask0', graph_module=<lambda>(), graph=None))
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   args[5]: 0.3535533905932738
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   args[6]: {'FORCE_USE_FLEX_ATTENTION': True, 'BLOCK_M': 32, 'BLOCK_N': 32, 'PRESCALE_QK': False, 'ROWS_GUARANTEED_SAFE': False, 'BLOCKS_ARE_CONTIGUOUS': False, 'WRITE_DQ': True, 'OUTPUT_LOGSUMEXP': False}
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   args[7]: ()
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   args[8]: (TensorBox(StorageBox(
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m     InputBuffer(name='arg5_1', layout=FixedLayout('cuda:0', torch.int32, size=[12], stride=[1]))
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m   )),)
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m 
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo"
�[1;36m(EngineCore_DP0 pid=6682)�[0;0m 
sys:1: DeprecationWarning: builtin type swigvarlink has no __module__ attribute

After some investigation.

I will delete test_bert_splade_sparse_embed_smoke because I think vllm is likely not supported for hf-internal-testing/tiny-random-bert because its head_size=8

DarkLight1337 · 2025-10-13T07:45:17Z

cc @gjgjos

Signed-off-by: wang.yuqi <noooop@126.com>

Signed-off-by: wang.yuqi <noooop@126.com> Signed-off-by: 1994 <1994@users.noreply.github.com>

Signed-off-by: wang.yuqi <noooop@126.com> Signed-off-by: Dhruvil Bhatt <bhattdbh@amazon.com>

Signed-off-by: wang.yuqi <noooop@126.com> Signed-off-by: bbartels <benjamin@bartels.dev>

Signed-off-by: wang.yuqi <noooop@126.com>

Signed-off-by: wang.yuqi <noooop@126.com> Signed-off-by: xuebwang-amd <xuebwang@amd.com>

Signed-off-by: wang.yuqi <noooop@126.com> Signed-off-by: 0xrushi <6279035+0xrushi@users.noreply.github.com>

mergify bot added the needs-rebase label Sep 28, 2025

noooop closed this Sep 28, 2025

noooop force-pushed the embed_e2e branch from bfe432f to 6144754 Compare September 28, 2025 03:54

noooop reopened this Sep 28, 2025

mergify bot removed the needs-rebase label Sep 28, 2025

noooop force-pushed the embed_e2e branch 2 times, most recently from f13cd39 to d9cd590 Compare September 28, 2025 05:20

noooop changed the title ~~[Performance] Embedding Models E2E Performance Optimization~~ [Model][0/N] Improve all pooling task | clean up Oct 11, 2025

mergify bot added the needs-rebase label Oct 11, 2025

noooop closed this Oct 11, 2025

noooop force-pushed the embed_e2e branch from d9cd590 to 55392bc Compare October 11, 2025 07:10

noooop added 2 commits October 11, 2025 15:45

+ embedding_size

dadd678

Signed-off-by: wang.yuqi <noooop@126.com>

+ VLLM_CI_ENFORCE_EAGER

f2530f5

Signed-off-by: wang.yuqi <noooop@126.com>

noooop reopened this Oct 11, 2025

mergify bot removed the needs-rebase label Oct 11, 2025

ner.py -> ner_client.py

c39c160

Signed-off-by: wang.yuqi <noooop@126.com>

mergify bot added the documentation Improvements or additions to documentation label Oct 11, 2025

noooop added 3 commits October 11, 2025 16:30

fix gpt2 seq cls & add test_head_dtype.py

b3b88e8

Signed-off-by: wang.yuqi <noooop@126.com>

clean GritLM

ff477af

Signed-off-by: wang.yuqi <noooop@126.com>

fix skip_global_cleanup

67b4255

Signed-off-by: wang.yuqi <noooop@126.com>

noooop marked this pull request as ready for review October 11, 2025 08:58

noooop requested review from DarkLight1337, aarnphm, robertgshaw2-redhat, simon-mo and ywang96 as code owners October 11, 2025 08:58

Merge branch 'main' into embed_e2e

d565b28

noooop added the ready ONLY add when PR is ready to merge/full CI is needed label Oct 13, 2025

fix test_splade_pooler

047cf56

Signed-off-by: wang.yuqi <noooop@126.com>

noooop mentioned this pull request Oct 13, 2025

[FIX] Throwing an exception when the model does not support pool tasks (#25840) #25855

Merged

5 tasks

noooop mentioned this pull request Oct 13, 2025

[Feature] Add support for naver/splade-v3 (BERT-based sparse embedding model) #26339

Merged

noooop added 3 commits October 13, 2025 14:35

- test_bert_splade_sparse_embed_smoke

4f0021b

Signed-off-by: wang.yuqi <noooop@126.com>

Merge branch 'main' into embed_e2e

2f75506

fix

4ca1f43

Signed-off-by: wang.yuqi <noooop@126.com>

DarkLight1337 enabled auto-merge (squash) October 13, 2025 08:24

DarkLight1337 approved these changes Oct 13, 2025

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DarkLight1337 merged commit 767c3ab into vllm-project:main Oct 13, 2025
58 checks passed

noooop deleted the embed_e2e branch October 13, 2025 08:45

noooop mentioned this pull request Oct 13, 2025

[Model][2/N] Improve all pooling task | Support multi-vector retrieval #25370

Merged

5 tasks

bbeckca pushed a commit to bbeckca/vllm that referenced this pull request Oct 13, 2025

[Model][0/N] Improve all pooling task | clean up (vllm-project#25817)

2ca25b9

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[Model][0/N] Improve all pooling task | clean up (vllm-project#25817)

e26a132

Signed-off-by: wang.yuqi <noooop@126.com> Signed-off-by: 1994 <1994@users.noreply.github.com>

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[Model][0/N] Improve all pooling task | clean up (vllm-project#25817)

095c420

Signed-off-by: wang.yuqi <noooop@126.com> Signed-off-by: Dhruvil Bhatt <bhattdbh@amazon.com>

noooop mentioned this pull request Oct 15, 2025

[Frontend][Doc][5/N] Improve all pooling task | Polish encode (pooling) api & Document. #25524

Open

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[Model][0/N] Improve all pooling task | clean up (vllm-project#25817)

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[Model][0/N] Improve all pooling task | clean up (vllm-project#25817)

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[Model][0/N] Improve all pooling task | clean up (vllm-project#25817)

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[Model][0/N] Improve all pooling task | clean up (vllm-project#25817)

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[Model][0/N] Improve all pooling task | clean up (vllm-project#25817)

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[Model][0/N] Improve all pooling task | clean up (vllm-project#25817)

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[Model][0/N] Improve all pooling task | clean up (vllm-project#25817)

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[Model][0/N] Improve all pooling task | clean up #25817

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Improve all pooling task

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