[BugFix] dynamic cache kv block_wise_fp8 not need create layer.cache_k_scale

[yuanlehome]

Motivation

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动态cache kv的block_wise_fp8量化，不需要在layer里创建scale parameter

Modifications

Usage or Command

Accuracy Tests

Checklist

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  • 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]]
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[Copilot]

Pull request overview

此 PR 修复了动态缓存 KV 使用 block_wise_fp8 量化时不必要地创建 scale 参数的 bug。当使用 block_wise_fp8 量化类型时，无需在 layer 中创建 cache_k_scale、cache_v_scale、cache_k_out_scale、cache_v_out_scale 以及零点参数。

• 将 scale 和 zero-point 参数创建逻辑包裹在条件判断中，仅在非 block_wise 量化类型时创建
• 保持与 process_loaded_weights 方法中的条件判断逻辑一致

[codecov-commenter]

Codecov Report

❌ Patch coverage is 92.30769% with 1 line in your changes missing coverage. Please review.
⚠️ Please upload report for BASE (develop@4e8096b). Learn more about missing BASE report.

Files with missing lines	Patch %	Lines
...loy/model_executor/layers/quantization/kv_cache.py	92.30%	0 Missing and 1 partial ⚠️

Additional details and impacted files

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