feat(agentx): run GLM-5.2 FP4 MI355X ATOM TP8 C1/C2 on mono decode

Track the TP8 recipe that ROCm/ATOM PR 2736 adds to
recipes/Agentic-GLM-5.2.md, on rocm/atom-dev:nightly_202610271459
(ATOM 06dbf6692), the first nightly that contains it.

- TP8 C1/C2 run the GLM-5.2 mono decode (ATOM_MONO_ENABLE=1) at 3 draft
  tokens (AL 2.99), max-num-seqs equal to CONC, graphs [1] and [1,2]: the
  TP4 C1/C2 command with -tp 8. TP8 C4 and every TP4/DCP4 point keep their
  settings and rerun only for the image.
- The atomesh router digest moves to the same nightly (5332ae78).

中文：按 ROCm/ATOM PR 2736 加入 recipes/Agentic-GLM-5.2.md 的 TP8 配方更新
MI355X ATOM AgentX 配置，镜像换为首个包含该 PR 的
rocm/atom-dev:nightly_202610271459（ATOM 06dbf6692）。TP8 C1/C2 使用
GLM-5.2 mono decode（ATOM_MONO_ENABLE=1），3 个 draft token（AL 2.99），
max-num-seqs 等于并发数，graph 为 [1] 和 [1,2]，即 TP4 C1/C2 命令改为
-tp 8。TP8 C4 及所有 TP4/DCP4 点位设置不变，只因换镜像而重跑。atomesh
router digest 同步为同一 nightly（5332ae78）。

Signed-off-by: zhuyuhua-v <yuhzhu@amd.com>

Author: zhuyuhua-v

inferencex-e2e/benchmarks/single_node/srt-slurm-recipes/glm5.2/atom/mi355x-fp4-mtp/agentic.yaml

@@ -6,7 +6,7 @@ base:
     gpus_per_node: 8
   frontend:
     type: atomesh
-    container_image: rocm/atom-dev@sha256:1bb1909ada9e3d178e315a3f89d041c05c7e90e7cc32de8d507ff5ab4cd4702c
+    container_image: rocm/atom-dev@sha256:5332ae78c51985d1bd8462935bdd80817f12350c39f8e8db7d93ab9037ff5f1c
     enable_multiple_frontends: false
   observability:
     enabled: false
@@ -33,15 +33,15 @@ base:
         PYTHONNOUSERSITE: '1'
         AITER_QUICK_REDUCE_QUANTIZATION: INT4
         AITER_USE_FLYDSL_MOE_SORTING: '1'
-        # GLM-5.2 mono decode is on by default in ATOM; only TP4 C1/C2 run it.
+        # GLM-5.2 mono decode is on by default in ATOM; only TP4/TP8 C1/C2 run it.
         ATOM_MONO_ENABLE: '0'
   benchmark:
     env:
       AIPERF_REQUIRED_SERVER_METRIC_PREFIX: 'atom:'
       AIPERF_APPLY_CHAT_TEMPLATE: 'true'
 
-# One variant per point. Admission is 2x CONC, except TP4 C1/C2, which admit
-# exactly CONC with graphs captured up to it. TP4 C1/C2 run mono decode at
+# One variant per point. Admission is 2x CONC, except TP4/TP8 C1/C2, which admit
+# exactly CONC with graphs captured up to it. TP4/TP8 C1/C2 run mono decode at
 # three draft tokens; C4/C8 draft five and C10 four on the production path. The
 # DCP4 arm shards the decode KV, adds the LMCache DRAM tier at 256 GiB per rank
 # (1024 GiB, 1099.5 GB per server, within the 1109 GB TP4 share at
@@ -210,9 +210,11 @@ override_tp8_c1:
     agg:
       gpus: 8
       args:
-        max-num-seqs: 2
-        cudagraph-capture-sizes: '[1,2]'
-        num-speculative-tokens: 5
+        max-num-seqs: 1
+        cudagraph-capture-sizes: '[1]'
+        num-speculative-tokens: 3
+      env:
+        ATOM_MONO_ENABLE: '1'
   benchmark:
     env:
       CONC: '1'
@@ -222,9 +224,11 @@ override_tp8_c2:
     agg:
       gpus: 8
       args:
-        max-num-seqs: 4
-        cudagraph-capture-sizes: '[1,2,4]'
-        num-speculative-tokens: 5
+        max-num-seqs: 2
+        cudagraph-capture-sizes: '[1,2]'
+        num-speculative-tokens: 3
+      env:
+        ATOM_MONO_ENABLE: '1'
   benchmark:
     env:
       CONC: '2'

inferencex-e2e/configs/amd-master.yaml

@@ -1495,9 +1495,10 @@ glm5.2-fp8-mi355x-sglang-agentic-mtp:
 # C1/C2 run the GLM-5.2 mono decode at K3. Large concurrency (C16-C48) adds DCP4
 # to shard the decode KV and the LMCache DRAM tier. The recipe sets the draft
 # depth per point (K3 for C1/C2 and C48, K5 for C4/C8, K4 for C10-C40). The TP8
-# arm stays GPU-resident with no KV offload.
+# arm stays GPU-resident with no KV offload; TP8 C1/C2 also run mono decode at
+# K3 (ROCm/ATOM PR 2736) and C4 stays at K5.
 glm5.2-fp4-mi355x-atom-agentic-mtp:
-  image: rocm/atom-dev:nightly_202610181506
+  image: rocm/atom-dev:nightly_202610271459
   model: amd/GLM-5.2-MXFP4
   model-prefix: glm5.2
   runner: cluster:mi355x-amds

inferencex-e2e/perf-changelog.yaml

@@ -11556,3 +11556,14 @@
     - "Disagg: 6 DEP2 prefill workers with a DEP8 decode at conc 280-360 or a DEP16 decode at conc 300; DeepGEMM MegaMoE, NIXL transfer plus a shared MooncakeStore DRAM pool (160 GB per rank), Dynamo KV router."
   pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/4468
   scenario-type: [agentic-coding]
+
+- config-keys:
+    - glm5.2-fp4-mi355x-atom-agentic-mtp
+  scenario-type:
+    - agentic-coding
+  description:
+    - "Image rocm/atom-dev:nightly_202610181506 (ATOM 0.1.8.dev77+gdf86c4829) -> nightly_202610271459 (ATOM 0.1.9.dev59+g06dbf6692, digest sha256:5332ae78c51985d1bd8462935bdd80817f12350c39f8e8db7d93ab9037ff5f1c), the first nightly that contains ROCm/ATOM PR 2736. The atomesh router container_image digest moves from 1bb1909a to 5332ae78, the same nightly as the workers."
+    - "TP8 C1 and C2 follow the TP8 recipe added to recipes/Agentic-GLM-5.2.md by ROCm/ATOM PR 2736: the TP4 C1/C2 command with -tp 8. Both run the GLM-5.2 mono decode (ATOM_MONO_ENABLE=1) on the external-indexer path at 3 draft tokens (golden AL 2.99), with max-num-seqs equal to the concurrency and CUDA graphs at [1] and [1,2]. C1 was 5 draft tokens, max-num-seqs 2 and graphs [1,2]; C2 was 5 draft tokens, max-num-seqs 4 and graphs [1,2,4]."
+    - "TP8 C4, TP4 C1-C10 and TP4+DCP4 C16-C48 keep their settings and ATOM_MONO_ENABLE values; they rerun only for the image change. LMCache stays at 0.5.6.dev139+gf22dec28, the wheel pinned in both images."
+    - "ATOM changes in the new image that matter here: mono decode admits TP8 and keeps the fused indexer at TP4 only (ROCm/ATOM #2736). Shared paths the TP4, DCP4 and TP8 C4 points also pick up: one graph mechanism per region, including the glm5_next indexer and kpool (#2688); MoE routing before the rows move (#2725); chunked DSA indexer decode logits (#2607); speculative output buffer reuse (#2670); MLA Triton decode on the maintained AITER API (#2669)."
+  pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/4608