#!/bin/bash
#SBATCH --job-name=fw135m-smoke
#SBATCH --output=/orion/u/oscarwan/ept/ep_run/runs/slurm-fw135m-smoke-%j.out
#SBATCH --error=/orion/u/oscarwan/ept/ep_run/runs/slurm-fw135m-smoke-%j.err
#SBATCH --time=02:00:00
#SBATCH --account=orion
#SBATCH --partition=orion
#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --gres=gpu:a6000:1
#SBATCH --cpus-per-task=16
#SBATCH --mem=64G

set -euo pipefail

ROOT_DIR="${ROOT_DIR:-/orion/u/oscarwan/ept}"
RUN_DIR="${ROOT_DIR}/ep_run"
VENV_DIR="${VENV_DIR:-${ROOT_DIR}/.venv}"
PYTHON_BIN="${PYTHON_BIN:-python}"
WAND_PROJECT="ept-fineweb-135M"
WAND_ENTITY="eqprop-llm-training"
DATA_DIR="${DATA_DIR:-${RUN_DIR}/data/fineweb_edu}"
export EPT_DATA_ROOT="${EPT_DATA_ROOT:-${DATA_DIR%/fineweb_edu}}"
SEED="${SEED:-1}"

cd "${RUN_DIR}"
mkdir -p runs

if [[ -f "${VENV_DIR}/bin/activate" ]]; then
  source "${VENV_DIR}/bin/activate"
fi

if [[ ! -f "${DATA_DIR}/meta.pkl" || ! -f "${DATA_DIR}/train.bin" || ! -f "${DATA_DIR}/val.bin" ]]; then
  echo "FineWeb-Edu data is missing at ${DATA_DIR}." >&2
  echo "Run prepare_fineweb.py first to create the dataset." >&2
  exit 1
fi

echo "Host: $(hostname)"
echo "Job ID: ${SLURM_JOB_ID:-local}"
echo "Git commit: $(git rev-parse --short HEAD)"
echo "CUDA_VISIBLE_DEVICES=${CUDA_VISIBLE_DEVICES:-unset}"
echo "W&B: ${WAND_ENTITY}/${WAND_PROJECT}"
echo "Data: ${DATA_DIR}"
nvidia-smi

"${PYTHON_BIN}" - <<'PY'
import torch, wandb
print("torch", torch.__version__, "cuda_available", torch.cuda.is_available(), "gpu_count", torch.cuda.device_count())
print("wandb", wandb.__version__)
PY

"${PYTHON_BIN}" fw135m_baseline.py \
  --mode smoke \
  --seed "${SEED}" \
  --wandb_project "${WAND_PROJECT}" \
  --execute