[feat] parameterize hardcoded MLA dimensions to support GLM5-W8A8 (#6902)

Derive MLA dimension constants (q_lora_rank, qk_nope_head_dim, etc.)
from tensor shapes at runtime instead of hardcoding DeepSeek V3 values.
This enables the mla_preprocess fused op to work with both DeepSeek V3
and GLM5 models without Python API changes.

- Add 9 dimension fields to MlaTilingData with DeepSeek V3 defaults
- Add OpParam fields and dynamize all host-side tiling functions
- Derive dimensions from wuk, gamma1, kv_cache_rope tensor shapes
- Replace 310+ hardcoded constants across 4 kernel .hpp files
- Remove unused MMSIZE1/MMSIZE2 constants

### What this PR does / why we need it?

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.16.0
- vLLM main:
15d76f74e2

---------

Signed-off-by: liuchenbing <chenliumail@163.com>
Co-authored-by: liuchenbing <chenliumail@163.com>

csrc/mla_preprocess/op_host/tiling/mla_preprocess_tiling.h

@@ -95,6 +95,18 @@ struct MlaTilingData {
     uint32_t hiddenStateDim{7168};
 
     uint32_t isWeightQuantized{1};
+
+    // Model-specific MLA dimensions (derived from tensor shapes)
+    uint32_t mm1OutSize{2112};        // q_lora_rank + kv_lora_rank + qk_rope_head_dim
+    uint32_t splitSizeOne{576};        // kv_lora_rank + qk_rope_head_dim
+    uint32_t splitSizeTwo{1536};       // q_lora_rank
+    uint32_t splitRmsNormSizeOne{512}; // kv_lora_rank
+    uint32_t splitRmsNormSizeTwo{64};  // qk_rope_head_dim
+    uint32_t ropeSplitSizeOne{64};     // qk_rope_head_dim
+    uint32_t ropeSplitSizeTwo{128};    // qk_nope_head_dim
+    uint32_t hiddenStrideRope{192};    // qk_nope_head_dim + qk_rope_head_dim
+    uint32_t qkNopeHeadDim{128};       // for RoPE offset calc
+    float avgFactor{0.000651041666f};  // 1/splitSizeTwo (1/qLoraRank), for RmsNorm avg
 };
 
 #endif  // MLAPREPROCESS_TILING_H