update fleet_ops

[liuruyan]

Motivation

💡 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

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!

[PaddlePaddle-bot]

🤖 Paddle-CI-Agent | pr_review | 2026-05-19 20:30:35

📋 Review 摘要

PR 概述：将 MoE EP 及 FP8 量化模块中 PaddleFleet 算子的导入路径从 paddlefleet.ops 更新为 paddlefleet_ops，适配上游包重命名。
变更范围：fastdeploy/model_executor/layers/moe/ep.py、fastdeploy/model_executor/layers/quantization/fp8_utils.py
影响面 Tag：[OP] [Quantization]

问题

未发现阻塞性问题。

📝 PR 规范检查

PR 标题缺少官方 Tag，且描述各 section 均为空/占位符，需补充完整内容。

标题建议（可直接复制）：

• [BugFix] Update PaddleFleet ops import path from paddlefleet.ops to paddlefleet_ops

PR 描述建议（可直接复制，必须复刻 checklist §D2 模板的完整结构）：

## Motivation
适配上游 PaddleFleet 包重命名：将 `paddlefleet.ops.deep_ep` 和 `paddlefleet.ops.deep_gemm` 的导入路径分别更新为 `paddlefleet_ops.deep_ep` 和 `paddlefleet_ops.deep_gemm`。

## Modifications
- `fastdeploy/model_executor/layers/moe/ep.py`：更新 deep_ep 导入路径（`paddlefleet.ops.deep_ep` → `paddlefleet_ops.deep_ep`）
- `fastdeploy/model_executor/layers/quantization/fp8_utils.py`：更新 deep_gemm 导入路径（`paddlefleet.ops.deep_gemm` → `paddlefleet_ops.deep_gemm`）

## Usage or Command
N/A

## Accuracy Tests
N/A

## 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.

总体评价

变更逻辑清晰，属于上游包路径适配，代码改动正确一致。建议补充 PR 标题 Tag 及描述信息后合入。

[PaddlePaddle-bot]

🤖 Paddle-CI-Agent | ci_status_monitor | 2026-05-19 23:44:59

CI报告基于以下代码生成（30分钟更新一次）:

• PR commit: 111d56e
• Merge base: 1d82c5b (branch: develop)
• 查看完整 Diff
• CI 详情

---

1 任务总览

存在 1 个 Required 失败任务，需优先处理后方可合并。

总执行（rerun次数）	总任务	✅ 通过	❌ 失败	⏳ 运行中	⏸️ 等待中	跳过
41(0)	41	38	2	0	1	0

---

2 任务状态汇总

2.1 Required任务：9/10 通过

必选任务阻塞合并，失败需优先处理。

状态	任务	耗时	根因	修复建议	日志	重跑
❌	run_tests_with_coverage	1h22m	PR问题：新增代码覆盖率 0%，2 行未覆盖，低于 80% 阈值	为 ep.py L46 和 fp8_utils.py L75 添加单测或申请豁免	Job	-
✅	其余 9 个必选任务通过	-	-	-	-	-

2.2 可选任务 — 29/31 通过

可选任务不阻塞合并，失败仅供参考。

状态	任务	耗时	日志	重跑
❌	Check PR Template	12s	Job	-
⏸️	CI_HPU	-	-	-
✅	其余 29 个可选任务通过	-	-	-

---

3 失败详情（仅 required）

Run FastDeploy Unit Tests and Coverage / run_tests_with_coverage — 代码覆盖率不达标（置信度: 高）

Run FastDeploy Unit Tests and Coverage / run_tests_with_coverage

• 状态: ❌ 失败
• 错误类型: 代码覆盖率不达标
• 置信度: 高
• 根因摘要: 新增代码覆盖率 0%，2 行未覆盖，低于 80% 阈值
• 分析器: ci_analyze_unittest_fastdeploy

根因详情:
PR 修改了 fastdeploy/model_executor/layers/moe/ep.py（第 46 行）和 fastdeploy/model_executor/layers/quantization/fp8_utils.py（第 75 行），共 2 行变更代码均未被单元测试覆盖，diff 覆盖率为 0%，低于 80% 的门槛（COVERAGE_EXIT_CODE: 9）。所有单元测试本身均通过（TEST_EXIT_CODE: 0）。

关键日志:

COVERAGE_EXIT_CODE: 9
GPU Patch Coverage Details:
{
  "total_num_lines": 2, "total_num_violations": 2, "total_percent_covered": 0,
  "fastdeploy/model_executor/layers/moe/ep.py": {"percent_covered": 0.0, "violation_lines": [46]},
  "fastdeploy/model_executor/layers/quantization/fp8_utils.py": {"percent_covered": 0.0, "violation_lines": [75]}
}
##[error]Process completed with exit code 9.

修复建议:

1. 在 fastdeploy/model_executor/layers/moe/ep.py L46 增加单元测试覆盖该行逻辑
2. 在 fastdeploy/model_executor/layers/quantization/fp8_utils.py L75 增加单元测试覆盖该行逻辑
3. 若以上代码行属于不可测试的分支（如硬件特定路径），可向团队申请覆盖率豁免

关联变更: fastdeploy/model_executor/layers/moe/ep.py L46, fastdeploy/model_executor/layers/quantization/fp8_utils.py L75

链接: 查看日志

[codecov-commenter]

Codecov Report

❌ Patch coverage is 0% with 2 lines in your changes missing coverage. Please review.
⚠️ Please upload report for BASE (develop@1d82c5b). Learn more about missing BASE report.

Files with missing lines	Patch %	Lines
fastdeploy/model_executor/layers/moe/ep.py	0.00%	1 Missing ⚠️
...oy/model_executor/layers/quantization/fp8_utils.py	0.00%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             develop    #7859   +/-   ##
==========================================
  Coverage           ?   63.33%           
==========================================
  Files              ?      462           
  Lines              ?    64365           
  Branches           ?     9871           
==========================================
  Hits               ?    40765           
  Misses             ?    20832           
  Partials           ?     2768           

Flag	Coverage Δ
GPU	72.44% <0.00%> (?)
XPU	7.12% <0.00%> (?)

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