56 lines
1.8 KiB
Bash
56 lines
1.8 KiB
Bash
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#!/bin/bash
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# End-to-end smoke for nanochat-omni: dataset → tokenizer → tiny base_train.
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# Runs in-place at the repo root (post-monorepo-fork).
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# Idempotent: caches venv + uv-cache + dataset shards under /data/nanochat-smoke/.
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# Targets ailab (CN, RTX 5090). CN mirrors (sjtu pytorch, aliyun PyPI, hf-mirror)
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# are committed directly into pyproject.toml/uv.lock/nanochat/dataset.py.
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set -euo pipefail
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export PATH="$HOME/.local/bin:$PATH"
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CACHE_ROOT=${CACHE_ROOT:-/data/nanochat-smoke}
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export NANOCHAT_BASE_DIR=$CACHE_ROOT/cache
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export UV_CACHE_DIR=$CACHE_ROOT/uv-cache
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export UV_DEFAULT_INDEX=${UV_DEFAULT_INDEX:-https://mirrors.aliyun.com/pypi/simple/}
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export UV_INDEX_STRATEGY=unsafe-best-match
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export HF_ENDPOINT=${HF_ENDPOINT:-https://hf-mirror.com}
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export OMP_NUM_THREADS=1
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mkdir -p "$CACHE_ROOT" "$NANOCHAT_BASE_DIR"
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# wandb: real run if WANDB_API_KEY is set, otherwise fall back to dummy (DummyWandb).
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if [ -n "${WANDB_API_KEY:-}" ]; then
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RUN_TAG=${CI_RUN_TAG:-smoke-$(date +%Y%m%d-%H%M%S)}
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else
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RUN_TAG=dummy
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fi
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[ -d .venv ] || uv venv
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uv sync --extra gpu --index-strategy unsafe-best-match
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source .venv/bin/activate
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echo "=== [1/4] download 1 climbmix shard ==="
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time python -m nanochat.dataset -n 1
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echo "=== [2/4] train tokenizer (50M chars) ==="
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time python -m scripts.tok_train --max-chars=50000000
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echo "=== [3/4] tok_eval ==="
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time python -m scripts.tok_eval
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echo "=== [4/4] base_train d=6 50 iters ==="
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time python -m scripts.base_train \
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--depth=6 \
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--head-dim=64 \
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--window-pattern=L \
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--max-seq-len=512 \
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--device-batch-size=8 \
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--total-batch-size=4096 \
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--eval-every=25 \
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--eval-tokens=131072 \
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--core-metric-every=-1 \
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--sample-every=25 \
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--num-iterations=50 \
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--run="$RUN_TAG"
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echo "=== smoke done ==="
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