[AMD][DI][CI] 2/N Add DSV4 DP8/EP8 and MTP MI355X 1P1D nightly recipes (#29784)
Co-authored-by: bingxche <bingxche@amd.com>
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# MI355X DeepSeek-V4-Pro FP4 2-node 1P1D disaggregation recipe — DP8 + narrow EP8 + MTP.
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#
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# Consumed by:
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# * scripts/ci/slurm/process_result.py reads `resources` and
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# `backend.sglang_config` (TP/EP/DP + worker counts) for the summary table.
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# * scripts/ci/slurm/launch_mi355x.sh reads `runtime`, `bench`, and `mtp`.
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resources:
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prefill_workers: 1
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decode_workers: 1
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backend:
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sglang_config:
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prefill:
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tensor-parallel-size: 8
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expert-parallel-size: 8
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data-parallel-size: 8
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decode:
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tensor-parallel-size: 8
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expert-parallel-size: 8
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data-parallel-size: 8
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runtime:
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image: lmsysorg/sglang-rocm:v0.5.13.post1-rocm720-mi35x-20260623
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attention_backend: dsv4
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# RoCE HCAs MORI uses for cross-node KV transfer.
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ib_devices: rdma0,rdma1,rdma2,rdma3
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prefill_port: 30025
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decode_port: 30026
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prefill_bootstrap_port: 8998
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decode_bootstrap_port: 9001
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lb_port: 8000
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mem_fraction_static: 0.90
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page_size: 256
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max_running_requests: 256
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chunked_prefill_size: 8192
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swa_full_tokens_ratio: 0.1
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# MTP / EAGLE speculative decoding (NextN head from the base model). Applied to
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# both prefill and decode. Flags mirror
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# test/registered/amd/test_deepseek_v4_pro_fp4_mtp.py.
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mtp:
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enabled: true
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num_steps: 3
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eagle_topk: 1
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num_draft_tokens: 4
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bench:
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# bench_serving --max-concurrency sweep; one result JSON per concurrency.
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concurrencies: [1, 8, 16, 32, 64, 128, 256]
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num_prompts_factor: 4 # num-prompts = concurrency * factor
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random_range_ratio: 1.0
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# Correctness gate run through the PD path before the perf sweep (full GSM8K,
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# 8-shot, accuracy > 0.91). A regression here fails the nightly even when
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# throughput looks fine ("fast but wrong").
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accuracy:
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enabled: true
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num_shots: 8
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num_questions: 1319 # full GSM8K test set
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threshold: 0.91
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