[Feature] Support prefill batch inference for pooling models.

[lizexu123]

Motivation

支持pooling模型多batch推理

💡 If this PR is a Cherry Pick, the PR title needs to follow the format by adding the [Cherry-Pick] label at the very beginning and appending the original PR ID at the end. For example, [Cherry-Pick][CI] Add check trigger and logic(#5191)

💡 如若此PR是Cherry Pick，PR标题需遵循格式，在最开始加上[Cherry-Pick]标签，以及最后面加上原PR ID，例如[Cherry-Pick][CI] Add check trigger and logic(#5191)

Modifications

Usage or Command

对于纯文多batch推理

export FD_ENABLE_MAX_PREFILL=1

model_path=Qwen3-Embedding-0.6B
python -m fastdeploy.entrypoints.openai.api_server \
    --model ${model_path} \
    --max-num-seqs 256 \
    --max-model-len 32768 \
    --port 8070 \
    --engine-worker-queue-port 7562 \
    --metrics-port 7531 \
    --tensor-parallel-size 1 \
    --gpu-memory-utilization 0.9 \
    --runner pooling \
    --convert embed \
    --max-num-partial-prefills 10 \
    --max-long-partial-prefills 10 \

Accuracy Tests

Checklist

• Add at least a tag in the PR title.
  • Tag list: [[FDConfig],[APIServer],[Engine], [Scheduler], [PD Disaggregation], [Executor], [Graph Optimization], [Speculative Decoding], [RL], [Models], [Quantization], [Loader], [OP], [KVCache], [DataProcessor], [BugFix], [Docs], [CI], [Optimization], [Feature], [Benchmark], [Others], [XPU], [HPU], [GCU], [DCU], [Iluvatar], [Metax]]
  • You can add new tags based on the PR content, but the semantics must be clear.
• Format your code, run pre-commit before commit.
• Add unit tests. Please write the reason in this PR if no unit tests.
• Provide accuracy results.
• If the current PR is submitting to the release branch, make sure the PR has been submitted to the develop branch, then cherry-pick it to the release branch with the [Cherry-Pick] PR tag.

[paddle-bot]

Thanks for your contribution!

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
⚠️ Please upload report for BASE (develop@438c9f7). Learn more about missing BASE report.

Additional details and impacted files

@@            Coverage Diff             @@
##             develop    #5436   +/-   ##
==========================================
  Coverage           ?   59.94%           
==========================================
  Files              ?      329           
  Lines              ?    40958           
  Branches           ?     6207           
==========================================
  Hits               ?    24552           
  Misses             ?    14539           
  Partials           ?     1867           

Flag	Coverage Δ
GPU	59.94% <100.00%> (?)

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.