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lerobot/docker/Dockerfile.benchmark.vlabench
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Pepijn 63dbdf0e55 fix(vlabench): re-install lerobot editably + coerce agent_pos shape
- The nightly base image has stale lerobot code (pre-dates VLABenchEnv
  addition), so COPY . . doesn't propagate into .venv. Run
  `uv pip install --no-deps -e .` after COPY, same fix as robocasa365.
- Coerce ee_state to exactly shape (7,) so SyncVectorEnv.concatenate
  doesn't raise "Output array is the wrong shape" when VLABench's
  actual ee_state length differs from our declared observation_space.

Made-with: Cursor
2026-04-16 21:36:18 +02:00

58 lines
2.8 KiB
Docker

# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Benchmark image for VLABench integration tests.
# Extends the nightly GPU image with the PR's source code and VLABench setup.
#
# Build: docker build -f docker/Dockerfile.benchmark.vlabench -t lerobot-benchmark-vlabench .
# Run: docker run --gpus all --rm lerobot-benchmark-vlabench lerobot-eval ...
FROM huggingface/lerobot-gpu:latest
# Install VLABench from GitHub (not on PyPI) and pin MuJoCo/dm-control.
# Shallow-clone without submodule recursion (nested SSH-only submodules fail in CI).
# Editable install (-e) because VLABench/utils/ has no __init__.py, so
# find_packages() omits it from wheels; editable mode uses the source tree directly.
# rrt-algorithms has the same packaging issue (rrt/ dir missing __init__.py).
# Patch: constant.py calls os.listdir on ~100 asset/obj/meshes/* dirs at import
# time. Guard the call so missing dirs return [] instead of crashing (in case
# the asset download is partial).
RUN git clone --depth 1 https://github.com/OpenMOSS/VLABench.git ~/VLABench && \
git clone --depth 1 https://github.com/motion-planning/rrt-algorithms.git ~/rrt-algorithms && \
python3 -c "\
import pathlib; \
p = pathlib.Path.home() / 'VLABench/VLABench/configs/constant.py'; \
t = p.read_text(); \
p.write_text(t.replace( \
'subdirs = os.listdir(xml_dir)', \
'if not os.path.isdir(xml_dir): return []\n subdirs = os.listdir(xml_dir)'))" && \
uv pip install --no-cache -e ~/VLABench -e ~/rrt-algorithms \
mujoco==3.2.2 dm-control==1.0.22 \
open3d colorlog scikit-learn openai gdown
# Download VLABench mesh assets from Google Drive. Task configs reference
# object meshes (obj/meshes/fruit/, containers/basket/, etc.); without them
# the task builder crashes with IndexError on random.choice([]).
# gdown handles Google Drive's confirmation tokens for large files.
RUN python ~/VLABench/scripts/download_assets.py --choice all
# Overlay the PR's source code on top of the nightly image.
COPY --chown=user_lerobot:user_lerobot . .
# Re-install lerobot editably so the new source (with VLABenchEnv registration
# and updated obs handling) replaces the stale package baked into the nightly image.
RUN uv pip install --no-cache --no-deps -e .
CMD ["/bin/bash"]