#!/usr/bin/env bash set -euo pipefail ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/../.." && pwd)" PYTHON="${PYTHON:-/home/ubuntu/envs/genmanip-isaac5-py311/bin/python}" ISAACLAB_SITE="/home/ubuntu/envs/genmanip-isaac5-py311/lib/python3.11/site-packages/isaaclab/source" export OMNI_KIT_ACCEPT_EULA=YES export PYTHONUNBUFFERED=1 export CUDA_VISIBLE_DEVICES="${CUDA_VISIBLE_DEVICES:-0}" export PYTHONPATH="${ISAACLAB_SITE}/isaaclab:${ISAACLAB_SITE}/isaaclab_tasks:${ISAACLAB_SITE}/isaaclab_assets:${ISAACLAB_SITE}/isaaclab_rl:${ISAACLAB_SITE}/isaaclab_mimic:${ROOT_DIR}/source/atec_rl_lab:${ROOT_DIR}/scripts/act:${PYTHONPATH:-}" cd "$ROOT_DIR" DATA_DIR="${DATA_DIR:-datasets/atec_task_e}" NUM_DEMOS="${NUM_DEMOS:-100}" PICK_OBJECTS="${PICK_OBJECTS:-3 2 1}" read -r -a PICK_OBJECTS_ARGS <<< "$PICK_OBJECTS" MAX_ATTEMPTS="${MAX_ATTEMPTS:-0}" TOTAL_ITERS="${TOTAL_ITERS:-100000}" BATCH_SIZE="${BATCH_SIZE:-512}" SEED="${SEED:-1}" LOG_FREQ="${LOG_FREQ:-100}" SAVE_FREQ="${SAVE_FREQ:-5000}" RUN_NAME="${RUN_NAME:-act-task-e-rgb-${NUM_DEMOS}demos-seed${SEED}}" RESUME_CHECKPOINT="${RESUME_CHECKPOINT:-}" RESUME_ITER="${RESUME_ITER:-}" RAW_DATA="${DATA_DIR}/trajectory.hdf5" FILTERED_DATA="${DATA_DIR}/trajectory_filtered.hdf5" mkdir -p "$DATA_DIR" logs echo "[ATEC Task E] root: $ROOT_DIR" echo "[ATEC Task E] python: $PYTHON" echo "[ATEC Task E] data: $DATA_DIR" echo "[ATEC Task E] demos: $NUM_DEMOS, pick_objects: ${PICK_OBJECTS_ARGS[*]}, batch: $BATCH_SIZE, iters: $TOTAL_ITERS" if [[ ! -f "$RAW_DATA" ]]; then "$PYTHON" -u scripts/act/collect_demos_task_e.py \ --pick_objects "${PICK_OBJECTS_ARGS[@]}" \ --num_demos "$NUM_DEMOS" \ --headless \ --enable_cameras \ --save_images \ --only_success \ --trace \ --abort_failed_lift \ --max_attempts "$MAX_ATTEMPTS" \ --output_dir "$DATA_DIR" else echo "[ATEC Task E] Found $RAW_DATA, skip collection." fi if [[ ! -f "$FILTERED_DATA" ]]; then "$PYTHON" -u scripts/act/filter_demos.py \ --input "$RAW_DATA" \ --output "$FILTERED_DATA" \ --threshold 0.001 else echo "[ATEC Task E] Found $FILTERED_DATA, skip filtering." fi TRAIN_ARGS=( --demo_path "$FILTERED_DATA" --num_demos "$NUM_DEMOS" --include_rgb --total_iters "$TOTAL_ITERS" --batch_size "$BATCH_SIZE" --log_freq "$LOG_FREQ" --save_freq "$SAVE_FREQ" --seed "$SEED" --exp_name "$RUN_NAME" ) if [[ -n "$RESUME_CHECKPOINT" ]]; then TRAIN_ARGS+=(--resume_checkpoint "$RESUME_CHECKPOINT") fi if [[ -n "$RESUME_ITER" ]]; then TRAIN_ARGS+=(--resume_iter "$RESUME_ITER") fi "$PYTHON" -u scripts/act/train_task_e.py "${TRAIN_ARGS[@]}"