# 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 RoboCasa365 integration tests. # Extends the nightly GPU image (which already has all extras installed) # with the PR's source code and RoboCasa-specific asset setup. # # Build: docker build -f docker/Dockerfile.benchmark.robocasa -t lerobot-benchmark-robocasa . # Run: docker run --gpus all --rm lerobot-benchmark-robocasa lerobot-eval ... FROM huggingface/lerobot-gpu:latest # Install robocasa + robosuite as editable clones. pip-installing from git # omits data files like robocasa/models/assets/box_links/box_links_assets.json # (not declared in package_data), which download_kitchen_assets needs at import. RUN git clone --depth 1 https://github.com/robocasa/robocasa.git ~/robocasa && \ git clone --depth 1 https://github.com/ARISE-Initiative/robosuite.git ~/robosuite && \ uv pip install --no-cache -e ~/robocasa -e ~/robosuite # Set up robocasa macros and download kitchen assets (textures + fixtures only — # skip objaverse/aigen objects to keep the image under size limits). # The download script prompts interactively, so pipe 'y' to auto-accept. RUN python -m robocasa.scripts.setup_macros && \ yes y | python -m robocasa.scripts.download_kitchen_assets --type tex fixtures_lw # 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 RoboCasaEnv registration) # replaces the stale package baked into the nightly image. RUN uv pip install --no-cache --no-deps -e . CMD ["/bin/bash"]