#!/usr/bin/env bash set -euo pipefail # Set up a conda environment capable of running the full online GWAM final graph: # RoboCasa/robosuite + torch + SAM2 code + OpenAI CLIP. # # Usage: # bash scripts/setup_realtime_final_graph_env.sh robocasa # # Notes: # - This script installs SAM2/CLIP code. The SAM2/CLIP checkpoints are bundled # under models/ in the HF package and are used by default. # - RoboCasa assets are not redistributed here; users must comply with RoboCasa # upstream setup/asset instructions. # - The torch command below targets CUDA 13.0 wheels. Change the index/device for # CPU or other CUDA versions. ENV_NAME="${1:-robocasa}" WORK_ROOT="${GWAM_SETUP_ROOT:-$HOME/gwam_realtime_deps}" ROBOCASA_ROOT="${ROBOCASA_ROOT:-$WORK_ROOT/robocasa}" ROBOSUITE_ROOT="${ROBOSUITE_ROOT:-$WORK_ROOT/robosuite}" SAM2_ROOT="${SAM2_ROOT:-$WORK_ROOT/sam2}" ROBOSUITE_COMMIT="5ce6643f3092639d08f7b0f90ed1c6a84f50552c" ROBOCASA_COMMIT="b4684e6ee37d377cc392e98302a6b916d588b415" SAM2_COMMIT="2b90b9f5ceec907a1c18123530e92e794ad901a4" CLIP_COMMIT="d05afc436d78f1c48dc0dbf8e5980a9d471f35f6" if command -v conda >/dev/null 2>&1; then CONDA_EXE="$(command -v conda)" elif [[ -x /home/chris/anaconda3/bin/conda ]]; then CONDA_EXE="/home/chris/anaconda3/bin/conda" else echo "conda not found; install Miniconda/Anaconda first" >&2 exit 2 fi if ! "$CONDA_EXE" env list | awk '{print $1}' | grep -qx "$ENV_NAME"; then "$CONDA_EXE" create -y -n "$ENV_NAME" python=3.11 fi CONDA_BASE="$("$CONDA_EXE" info --base)" ENV_PREFIX="$("$CONDA_BASE/bin/python" - "$ENV_NAME" <<'PY' import json, subprocess, sys name = sys.argv[1] payload = json.loads(subprocess.check_output([sys.executable.replace('/bin/python', '/bin/conda'), 'env', 'list', '--json'], text=True)) matches = [path for path in payload['envs'] if path.rsplit('/', 1)[-1] == name] if len(matches) != 1: raise SystemExit(f'expected one conda environment named {name}, got {matches}') print(matches[0]) PY )" PYTHON="$ENV_PREFIX/bin/python" "$PYTHON" -m pip install --upgrade pip "$PYTHON" -m pip install numpy opencv-python "$PYTHON" -m pip install "git+https://github.com/openai/CLIP.git@${CLIP_COMMIT}" mkdir -p "$WORK_ROOT" # RoboCasa main requires robosuite master APIs such as load_model_on_init. # The PyPI robosuite==1.5.2 release is not compatible with RoboCasa 1.0.1. if [[ ! -d "$ROBOSUITE_ROOT/.git" ]]; then git clone https://github.com/ARISE-Initiative/robosuite.git "$ROBOSUITE_ROOT" fi git -C "$ROBOSUITE_ROOT" fetch origin "$ROBOSUITE_COMMIT" git -C "$ROBOSUITE_ROOT" checkout --detach "$ROBOSUITE_COMMIT" "$PYTHON" -m pip install -e "$ROBOSUITE_ROOT" if [[ ! -d "$ROBOCASA_ROOT/.git" ]]; then git clone https://github.com/robocasa/robocasa.git "$ROBOCASA_ROOT" fi git -C "$ROBOCASA_ROOT" fetch origin "$ROBOCASA_COMMIT" git -C "$ROBOCASA_ROOT" checkout --detach "$ROBOCASA_COMMIT" "$PYTHON" -m pip install -e "$ROBOCASA_ROOT" if [[ ! -d "$SAM2_ROOT/.git" ]]; then git clone https://github.com/facebookresearch/sam2.git "$SAM2_ROOT" fi git -C "$SAM2_ROOT" fetch origin "$SAM2_COMMIT" git -C "$SAM2_ROOT" checkout --detach "$SAM2_COMMIT" "$PYTHON" -m pip install -e "$SAM2_ROOT" # RoboCasa/LeRobot dependencies may downgrade torch to a CUDA 12.6 wheel that # cannot execute on Blackwell (sm_120). Re-assert the CUDA 13 wheel last. "$PYTHON" -m pip install --upgrade torch torchvision --index-url https://download.pytorch.org/whl/cu130 # Reinstall NCCL from PyPI: the dependency copy selected during mixed-index # resolution can carry the same version metadata but omit ncclCommResume. "$PYTHON" -m pip install --force-reinstall --no-cache-dir nvidia-nccl-cu13==2.29.7 cat <<'EOF' RoboCasa code deps are installed. If this is a fresh machine, also install/download RoboCasa kitchen assets according to upstream RoboCasa instructions before running live simulator tasks. This dataset does not redistribute RoboCasa assets. EOF "$PYTHON" - <<'PY' import importlib.util missing=[] for m in ['robocasa','robosuite','torch','clip','sam2','cv2','numpy']: ok = importlib.util.find_spec(m) is not None print(m, ok) if not ok: missing.append(m) if missing: raise SystemExit(f'missing imports: {missing}') print('setup_realtime_final_graph_env_ok') PY "$PYTHON" - <<'PY' import torch print("torch", torch.__version__, "cuda", torch.version.cuda, "available", torch.cuda.is_available()) if torch.cuda.is_available(): value = float((torch.ones(8, device="cuda") ** 2).sum().item()) if value != 8.0: raise SystemExit(f"CUDA execution smoke differs: {value}") print("setup_realtime_final_graph_cuda_smoke_ok", value) PY "$PYTHON" - <