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a80f3c0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | #!/usr/bin/env bash
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
source "${SCRIPT_DIR}/../00_setup/env.sh"
: "${DEEPSTARR_DIR:?Set DEEPSTARR_DIR to the local DeepSTARR parquet directory.}"
: "${DIFFUSION_MODEL:?Set DIFFUSION_MODEL to the trained diffusion saved model directory.}"
: "${GENERANNO_BASE_MODEL:?Set GENERANNO_BASE_MODEL to the local GENERanno model.}"
: "${PREDICTOR_MODEL:?Set PREDICTOR_MODEL to the trained predictor best_model directory.}"
export NUM_PER_BUCKET="${NUM_PER_BUCKET:-128}"
export NUM_DIFFUSION_STEPS="${NUM_DIFFUSION_STEPS:-64}"
export DIFFUSION_EVAL_BATCH_SIZE="${DIFFUSION_EVAL_BATCH_SIZE:-512}"
export PREDICTOR_SCORE_BATCH_SIZE="${PREDICTOR_SCORE_BATCH_SIZE:-64}"
cd "${GENERANNO_DIR}"
python3 src/tasks/downstream/discrete_diffusion_evaluate.py \
--diffusion_model "${DIFFUSION_MODEL}" \
--base_model_for_code "${GENERANNO_BASE_MODEL}" \
--dataset_dir "${DEEPSTARR_DIR}" \
--predictor_model "${PREDICTOR_MODEL}" \
--split test \
--conditioned \
--num_per_bucket "${NUM_PER_BUCKET}" \
--sequence_length "${SEQUENCE_LENGTH:-246}" \
--num_diffusion_steps "${NUM_DIFFUSION_STEPS}" \
--batch_size "${DIFFUSION_EVAL_BATCH_SIZE}" \
--predictor_batch_size "${PREDICTOR_SCORE_BATCH_SIZE}" \
--max_length "${DIFFUSION_MAX_LENGTH:-256}" \
--temperature "${DIFFUSION_TEMPERATURE:-1.0}" \
--bf16 \
--attn_implementation "${ATTN_IMPLEMENTATION:-sdpa}" \
--output_dir "${RESULT_ROOT}/diffusion_test_predictor"
echo "P2 test split diffusion evaluation completed under ${RESULT_ROOT}/diffusion_test_predictor"
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