| #!/usr/bin/env bash |
| set -uo pipefail |
| ROOT=/lustre/fsw/portfolios/nvr/users/jtremblay/yu |
| RUN=$ROOT/1027_run; TASKS=$ROOT/1027_sim_tasks |
| V5CODE=$TASKS/share_v5_sim2real_20260929/code |
| CONDA=$ROOT/miniconda3; SPY=$CONDA/envs/simfoundry/bin/python; UPY=$CONDA/envs/ur5dp/bin/python |
| HOME_FAKE=$RUN/home_fake; NAME=ringpeg_dart_v1; RDIR=$TASKS/ringpeg |
| YUASSET=$TASKS/assets/yuasset_v1_docs_only |
|
|
| mkdir -p $HOME_FAKE/ur5_sim2real_v5 $RUN/logs $V5CODE/sim_data $V5CODE/train_runs |
| ln -sfn $CONDA $HOME_FAKE/miniconda3 |
| ln -sfn $TASKS/share_v5_sim2real_20260929 $HOME_FAKE/ur5_sim2real_v5/share_v5_sim2real_20260929 |
| ln -sfn $RDIR $HOME_FAKE/ur5_sim2real_v5/ringpeg |
| ln -sfn $YUASSET $HOME_FAKE/ur5_sim2real_v5/yuasset |
| export HOME=$HOME_FAKE |
| log() { echo "== $(date '+%F %T') $*"; } |
| source $CONDA/etc/profile.d/conda.sh |
| export TORCHINDUCTOR_COMPILE_THREADS=1 OMNIGIBSON_HEADLESS=1 OMNI_KIT_ACCEPT_EULA=YES PYTHONUNBUFFERED=1 |
| export OMNIGIBSON_RENDER_VIEWER_CAMERA=0 TORCH_COMPILE_DISABLE=1 TORCHDYNAMO_DISABLE=1 |
| export OMNIGIBSON_DATA_PATH=/lustre/fsw/portfolios/nvr/users/jtremblay/yu/SimFoundry/deps/BEHAVIOR-1K/datasets |
|
|
| DATA_DIR=$V5CODE/sim_data/$NAME |
| DATA_A=${DATA_DIR}_a; DATA_B=${DATA_DIR}_b |
| mkdir -p $DATA_A $DATA_B |
| log "Collecting ringpeg: 2x parallel (GPU0 seeds 50-149, GPU2 seeds 150-249) resuming from 50 existing" |
|
|
| CUDA_VISIBLE_DEVICES=0 OMNIGIBSON_GPU_ID=0 \ |
| $SPY -u $RDIR/ringpeg_collect.py \ |
| --out $DATA_A --seeds 50-149 --max-kept 55 \ |
| --layouts 0 --jitter 0.03 --ring-yaw-deg 30 --peg-yaw-deg 15 --dart --start-offset \ |
| 2>&1 | tee $RUN/logs/${NAME}_a.log & |
| PID_A=$! |
| sleep 60 |
| CUDA_VISIBLE_DEVICES=2 OMNIGIBSON_GPU_ID=2 \ |
| $SPY -u $RDIR/ringpeg_collect.py \ |
| --out $DATA_B --seeds 150-249 --max-kept 55 \ |
| --layouts 0 --jitter 0.03 --ring-yaw-deg 30 --peg-yaw-deg 15 --dart --start-offset \ |
| 2>&1 | tee $RUN/logs/${NAME}_b.log & |
| PID_B=$! |
|
|
| wait $PID_A; log "Proc A done" |
| wait $PID_B; log "Proc B done" |
|
|
| |
| python3 $RUN/merge_shards.py $DATA_DIR $DATA_A $DATA_B $DATA_DIR 100 |
| kept=$($UPY -c "import json; d=json.load(open('$DATA_DIR/collect_meta.json')); print(d['n_kept'])" 2>/dev/null || echo 0) |
| log "Kept: $kept" |
| [ "$kept" -lt 50 ] && { log "ERROR: only $kept"; exit 1; } |
|
|
| log "Packing zarr" |
| cd $V5CODE && $UPY ur5_import/scripts/pack_zarr.py --dir sim_data/$NAME 2>&1 | tee -a $RUN/logs/${NAME}_train.log |
| log "Training DP ($kept demos)" |
| cd $V5CODE/ur5_lab_code && export PYTHONPATH=src:. |
| $UPY train.py --config-name=train_baseline_diffusion_unet task=sim_baseline \ |
| task_name=$NAME dataset_path=$DATA_DIR n_demo=$kept \ |
| training.device=cuda:0 training.seed=0 training.num_epochs=130 training.checkpoint_every=129 \ |
| checkpoint.topk.k=0 training.resume=True checkpoint.save_last_ckpt=True dataloader.batch_size=256 dataloader.num_workers=16 logging.mode=offline \ |
| "policy._target_=algorithms.policy.diffusion_unet_baseline_aug_policy.DiffusionUnetBaselineAugPolicy" \ |
| +policy.cam1_dropout=0.1 +policy.cam1_aug_p=0.5 +policy.cam1_erase_p=0.3 +policy.cam0_aug_p=0.3 \ |
| "hydra.run.dir=$V5CODE/train_runs/${NAME}_s0" \ |
| 2>&1 | tee $RUN/logs/${NAME}_train.log |
| rc=$?; log "Train exit $rc" |
| [ $rc -eq 0 ] && touch $RUN/data/TRAIN_DONE_${NAME} || { log "TRAIN FAILED"; exit 1; } |
| log "DONE: $V5CODE/train_runs/${NAME}_s0/checkpoints/" |
|
|
