# MI355X DeepSeek-V4-Pro FP4 2-node 1P1D disaggregation recipe — DP8 + narrow EP8 + MTP.
#
# Consumed by:
#   * scripts/ci/slurm/process_result.py reads `resources` and
#     `backend.sglang_config` (TP/EP/DP + worker counts) for the summary table.
#   * scripts/ci/slurm/launch_mi355x.sh reads `runtime`, `bench`, and `mtp`.

resources:
  prefill_workers: 1
  decode_workers: 1

backend:
  sglang_config:
    prefill:
      tensor-parallel-size: 8
      expert-parallel-size: 8
      data-parallel-size: 8
    decode:
      tensor-parallel-size: 8
      expert-parallel-size: 8
      data-parallel-size: 8

runtime:
  image: lmsysorg/sglang-rocm:v0.5.13.post1-rocm720-mi35x-20260623
  attention_backend: dsv4
  # RoCE HCAs MORI uses for cross-node KV transfer.
  ib_devices: rdma0,rdma1,rdma2,rdma3
  prefill_port: 30025
  decode_port: 30026
  prefill_bootstrap_port: 8998
  decode_bootstrap_port: 9001
  lb_port: 8000
  mem_fraction_static: 0.90
  page_size: 256
  max_running_requests: 256
  chunked_prefill_size: 8192
  swa_full_tokens_ratio: 0.1

# MTP / EAGLE speculative decoding (NextN head from the base model). Applied to
# both prefill and decode. Flags mirror
# test/registered/amd/test_deepseek_v4_pro_fp4_mtp.py.
mtp:
  enabled: true
  num_steps: 3
  eagle_topk: 1
  num_draft_tokens: 4

bench:
  # bench_serving --max-concurrency sweep; one result JSON per concurrency.
  concurrencies: [1, 8, 16, 32, 64, 128, 256]
  num_prompts_factor: 4      # num-prompts = concurrency * factor
  random_range_ratio: 1.0

  # Correctness gate run through the PD path before the perf sweep (full GSM8K,
  # 8-shot, accuracy > 0.91). A regression here fails the nightly even when
  # throughput looks fine ("fast but wrong").
  accuracy:
    enabled: true
    num_shots: 8
    num_questions: 1319    # full GSM8K test set
    threshold: 0.91