#!/bin/bash

#PBS -N nc-cnn-enwik9-optuna
#PBS -l gpus=1
#PBS -l walltime=08:00:00
#PBS -l mem=60gb
#PBS -m abe

CACHE_DIR="${VSC_SCRATCH}/.cache"                # Directory to use as cache
UV_DIR="${VSC_SCRATCH}/uv"                       # Directory to install packages
VENV="${UV_DIR}/venv"

DATA_DIR="${VSC_DATA}/datasets"
RESULTS_DIR="${VSC_DATA}/neural-compression/$( date +%Y%m%d-%H%M-%S%N)-results"

mkdir -p "${DATA_DIR}" "${RESULTS_DIR}" || true

module purge
module load PyTorch-bundle/2.1.2-foss-2023a-CUDA-12.1.1
module load Optuna/3.5.0-foss-2023a
module load matplotlib/2.2.5-foss-2023a-Python-2.7.18

cd "${PBS_O_WORKDIR}" || exit

UV_PYTHON_INSTALL_DIR="${UV_DIR}/python" UV_PYTHON_INSTALL_DIR="${UV_DIR}/python" \
  uv --cache-dir="${CACHE_DIR}/uv" \
  venv "${VENV}" --clear

source "${VENV}/bin/activate"

UV_PYTHON_INSTALL_DIR="${UV_DIR}/python" UV_PYTHON_INSTALL_DIR="${UV_DIR}/python" \
  uv --cache-dir="${CACHE_DIR}/uv" \
  sync --active --no-dev

cd "${PBS_O_WORKDIR}" || exit

python main.py train \
  --method=optuna \
  --dataset=enwik9 --data-root="${DATA_DIR}" \
  --model=cnn --model-save-path="${RESULTS_DIR}/cnn-enwik9-optuna.pt"