[Feature] Support Norm before Rope.

[K11OntheBoat]

Motivation

支持模型通过config变量来交换Attention之前的Rope和Norm计算顺序.

Modifications

支持模型通过config变量来交换Attention之前的Rope和Norm计算顺序.

Usage or Command

当config.json 中存在 "qk_norm_before_rope": true, 即可实现.

Accuracy Tests

结合具体模型评估

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.

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[paddle-bot]

Thanks for your contribution!

[codecov-commenter]

Codecov Report

❌ Patch coverage is 40.00000% with 6 lines in your changes missing coverage. Please review.
⚠️ Please upload report for BASE (develop@793dac0). Learn more about missing BASE report.

Files with missing lines	Patch %	Lines
...el_executor/layers/attention/flash_attn_backend.py	0.00%	3 Missing ⚠️
...ecutor/layers/attention/flash_mask_attn_backend.py	0.00%	3 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             develop    #6332   +/-   ##
==========================================
  Coverage           ?   67.38%           
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  Files              ?      389           
  Lines              ?    51905           
  Branches           ?     8082           
==========================================
  Hits               ?    34976           
  Misses             ?    14377           
  Partials           ?     2552           

Flag	Coverage Δ
GPU	67.38% <40.00%> (?)

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