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44 lines
1.2 KiB
YAML
44 lines
1.2 KiB
YAML
# Smoke test for the llm_determinism workload — single cell, tiny model.
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#
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# Goal: prove the deterministic-replay harness runs end-to-end and reports
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# pass/fail, NOT to stress comm/compute. One cell, one trial, one step.
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#
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# Single-rank (no torchrun) — export the rendezvous vars first:
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# export RANK=0 WORLD_SIZE=1 LOCAL_RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=29500
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# aorta triage run --recipe recipes/example-llm-determinism-smoke.yaml
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#
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# Multi-GPU (real comm coverage):
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# torchrun --standalone --nproc_per_node=8 $(which aorta) triage run \
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# --recipe recipes/example-llm-determinism-smoke.yaml
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#
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# `steps` is a first-class recipe field — putting it in workload_config is rejected.
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schema_version: 1
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ticket: LLM-DET-SMOKE
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workload: llm_determinism
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trials: 1
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steps: 1
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confound:
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threshold: 1.15
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# Tiny model so the smoke is fast and fits a single small GPU.
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workload_config:
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num_layers: 4
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hidden_size: 1024
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ffn_size: 2816
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num_heads: 8
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seq_len: 256
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batch_size: 1
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dtype: bf16
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seed: 1234
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checksum_mode: per_rank
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cells:
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- name: smoke-bf16-4L
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mitigations: [none]
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environment: local
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workload_config:
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capture_dir: ./llm_det_capture/smoke-bf16-4L
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