[Cherry-Pick][TI-consistent] support quant use pow2scale(#7308)

[liuruyan]

Motivation

针对训推一致性对齐需求，在FD中支持quant 选择pow2scale模式，通过FD_FP8_QUANT_WITH_POW2SCALE控制

Modifications

新增FD_FP8_QUANT_WITH_POW2SCALE参数

Usage or Command

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 (release/2.5@ffe2cf1). Learn more about missing BASE report.

Additional details and impacted files

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[liuruyan]

/re-run ci_xpu

[fastdeploy-bot]

🤖 AI Code Review | 2026-04-11

📋 Review 摘要

PR 概述：新增 FD_FP8_QUANT_WITH_POW2SCALE 环境变量支持 FP8 量化使用 pow2scale 模式

变更范围：fastdeploy/envs.py、model_executor/layers/moe/、model_executor/layers/quantization/

影响面 Tag：[Quantization]

📝 PR 规范检查

PR 标题缺少有效的 [Tag] 标签。[Cherry-Pick] 和 [TI-consistent] 不在官方标签列表中。

标题建议（可直接复制）：

• [Quantization] [Cherry-Pick] support quant use pow2scale(#7308)
• [RL] [Cherry-Pick] support quant use pow2scale(#7308)

描述建议：建议补充完整的 Modifications 列表（各文件修改的具体调用点数量）和 Accuracy 测试结果。

问题

无阻塞性问题。

总体评价

变更逻辑清晰，通过新增环境变量 FD_FP8_QUANT_WITH_POW2SCALE 统一控制 FP8 量化的 pow2scale 模式，便于训推一致性对齐。使用 or 运算符确保当环境变量为 True 时强制启用 pow2scale，符合预期行为。