refactor: update dpsk fused_moe test [1] (#2088)

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## 📌 Description

Refactor fused_moe test.

Split test on model+precision.

Part [1]:
- test deepseek (kimi, lite) fp8 block-scaled fused moe
- default TP8
- PDL enabled
- MajorK weight layout
- higher tolerance and matching percentage

Next Part [2]:
- add BlockMajorK weight layout

Next Part [x]:
- Per Tensor FP8 MoE,  FP4MoE

later:
- refactor llama4, topk?, renormalize? routing tests

## 🔍 Related Issues

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## 🧪 Tests

- [x] Tests have been added or updated as needed.
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<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit

* **Tests**
* Added a comprehensive FP8 block-scale fused Mixture-of-Experts test
validating end-to-end correctness across many routing, expert and
precision configurations. Includes randomized inputs,
per-token/per-expert workflows, extensive parameterizations, diagnostic
statistics, autotune-path checks, and a minimal sanity run.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

Author: yyihuang