mirror of
https://github.com/huggingface/lerobot.git
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Pepijn
452d9abaa4
- spaces/health-dashboard/app.py: Gradio Space that queries the GitHub Actions API directly (no extra datastore). Shows benchmark status badges, success-rate and duration trend charts, and embeds the latest rollout video per benchmark. Results cached 5 min in-memory; video files cached on disk by artifact ID so downloads only happen once. - spaces/health-dashboard/requirements.txt + README.md: Space card with setup instructions for the GITHUB_RO_TOKEN secret (actions:read, metadata:read only). - scripts/ci/parse_eval_metrics.py: runs on the CI host after each eval, reads eval_info.json written by lerobot-eval, extracts pc_success and n_episodes, and writes metrics.json to the artifacts dir. - .github/workflows/benchmark_tests.yml: add "Parse … metrics" and "Upload … metrics" steps (if: always()) after each eval so the dashboard has data even when the eval fails. The Space should be deployed as a private Space under the huggingface org. Required secret: GITHUB_RO_TOKEN (fine-grained, read-only). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
233 lines
8.3 KiB
YAML
233 lines
8.3 KiB
YAML
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# Integration tests: build an isolated Docker image per benchmark and run a
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# 1-episode smoke eval. Each benchmark gets its own image so incompatible
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# dependency trees (e.g. hf-libero vs metaworld==3.0.0) can never collide.
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#
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# To add a new benchmark:
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# 1. Add docker/Dockerfile.benchmark.<name> (install only lerobot[<name>])
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# 2. Copy one of the jobs below and adjust the image name and eval command.
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name: Benchmark Integration Tests
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on:
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# Run manually from the Actions tab
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workflow_dispatch:
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push:
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branches:
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- feat/benchmark-ci
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- main
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paths:
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- "src/lerobot/envs/**"
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- "src/lerobot/scripts/lerobot_eval.py"
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- "docker/Dockerfile.benchmark.*"
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- ".github/workflows/benchmark_tests.yml"
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- "pyproject.toml"
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pull_request:
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branches:
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- main
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paths:
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- "src/lerobot/envs/**"
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- "src/lerobot/scripts/lerobot_eval.py"
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- "docker/Dockerfile.benchmark.*"
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- ".github/workflows/benchmark_tests.yml"
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- "pyproject.toml"
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permissions:
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contents: read
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env:
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UV_VERSION: "0.8.0"
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PYTHON_VERSION: "3.12"
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# Cancel in-flight runs for the same branch/PR.
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concurrency:
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group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
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cancel-in-progress: true
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jobs:
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# ── LIBERO ────────────────────────────────────────────────────────────────
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# Isolated image: lerobot[libero] only (hf-libero, dm-control, mujoco chain)
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libero-integration-test:
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name: Libero — build image + 1-episode eval
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runs-on:
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group: aws-g6-4xlarge-plus
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env:
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HF_USER_TOKEN: ${{ secrets.LEROBOT_HF_USER }}
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steps:
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- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
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with:
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persist-credentials: false
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lfs: true
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v3 # zizmor: ignore[unpinned-uses]
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with:
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cache-binary: false
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# Build the benchmark-specific image; layer cache lives in the runner's
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# local Docker daemon — reused across re-runs on the same machine.
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- name: Build Libero benchmark image
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uses: docker/build-push-action@v6 # zizmor: ignore[unpinned-uses]
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with:
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context: .
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file: docker/Dockerfile.benchmark.libero
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push: false
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load: true
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tags: lerobot-benchmark-libero:ci
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cache-from: type=local,src=/tmp/.buildx-cache-libero
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cache-to: type=local,dest=/tmp/.buildx-cache-libero,mode=max
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- name: Login to Hugging Face
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if: env.HF_USER_TOKEN != ''
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run: |
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docker run --rm \
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-e HF_HOME=/tmp/hf \
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lerobot-benchmark-libero:ci \
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bash -c "hf auth login --token '$HF_USER_TOKEN' --add-to-git-credential && hf auth whoami"
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- name: Run Libero smoke eval (1 episode)
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run: |
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mkdir -p /tmp/libero-artifacts && chmod 777 /tmp/libero-artifacts
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docker run --rm --gpus all \
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--shm-size=4g \
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-e HF_HOME=/tmp/hf \
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-e HF_USER_TOKEN="${HF_USER_TOKEN}" \
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-e HF_HUB_DOWNLOAD_TIMEOUT=300 \
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-v /tmp/libero-artifacts:/artifacts \
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lerobot-benchmark-libero:ci \
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bash -c "
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hf auth login --token \"\$HF_USER_TOKEN\" --add-to-git-credential 2>/dev/null || true
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lerobot-eval \
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--policy.path=pepijn223/smolvla_libero \
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--env.type=libero \
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--env.task=libero_spatial \
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--eval.batch_size=1 \
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--eval.n_episodes=1 \
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--eval.use_async_envs=false \
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--policy.device=cuda \
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'--env.camera_name_mapping={\"agentview_image\": \"camera1\", \"robot0_eye_in_hand_image\": \"camera2\"}' \
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--policy.empty_cameras=1 \
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--output_dir=/artifacts
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"
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- name: Parse Libero eval metrics
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if: always()
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run: |
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python scripts/ci/parse_eval_metrics.py \
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--artifacts-dir /tmp/libero-artifacts \
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--env libero \
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--task libero_spatial \
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--policy pepijn223/smolvla_libero
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- name: Upload Libero rollout video
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if: always()
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uses: actions/upload-artifact@v4
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with:
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name: libero-rollout-video
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path: /tmp/libero-artifacts/videos/
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if-no-files-found: warn
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- name: Upload Libero eval metrics
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if: always()
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uses: actions/upload-artifact@v4
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with:
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name: libero-metrics
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path: /tmp/libero-artifacts/metrics.json
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if-no-files-found: warn
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# ── METAWORLD ─────────────────────────────────────────────────────────────
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# Isolated image: lerobot[metaworld] only (metaworld==3.0.0, mujoco>=3 chain)
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metaworld-integration-test:
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name: MetaWorld — build image + 1-episode eval
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runs-on:
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group: aws-g6-4xlarge-plus
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env:
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HF_USER_TOKEN: ${{ secrets.LEROBOT_HF_USER }}
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steps:
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- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
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with:
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persist-credentials: false
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lfs: true
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v3 # zizmor: ignore[unpinned-uses]
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with:
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cache-binary: false
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- name: Build MetaWorld benchmark image
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uses: docker/build-push-action@v6 # zizmor: ignore[unpinned-uses]
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with:
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context: .
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file: docker/Dockerfile.benchmark.metaworld
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push: false
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load: true
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tags: lerobot-benchmark-metaworld:ci
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cache-from: type=local,src=/tmp/.buildx-cache-metaworld
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cache-to: type=local,dest=/tmp/.buildx-cache-metaworld,mode=max
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- name: Run MetaWorld smoke eval (1 episode)
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run: |
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mkdir -p /tmp/metaworld-artifacts && chmod 777 /tmp/metaworld-artifacts
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docker run --rm --gpus all \
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--shm-size=4g \
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-e HF_HOME=/tmp/hf \
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-e HF_USER_TOKEN="${HF_USER_TOKEN}" \
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-e HF_HUB_DOWNLOAD_TIMEOUT=300 \
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-v /tmp/metaworld-artifacts:/artifacts \
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lerobot-benchmark-metaworld:ci \
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bash -c "
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hf auth login --token \"\$HF_USER_TOKEN\" --add-to-git-credential 2>/dev/null || true
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lerobot-eval \
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--policy.path=pepijn223/smolvla_metaworld \
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--env.type=metaworld \
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--env.task=metaworld-push-v3 \
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--eval.batch_size=1 \
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--eval.n_episodes=1 \
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--eval.use_async_envs=false \
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--policy.device=cuda \
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'--rename_map={\"observation.image\": \"observation.images.camera1\"}' \
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--policy.empty_cameras=2 \
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--output_dir=/artifacts
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"
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- name: Parse MetaWorld eval metrics
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if: always()
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run: |
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python scripts/ci/parse_eval_metrics.py \
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--artifacts-dir /tmp/metaworld-artifacts \
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--env metaworld \
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--task metaworld-push-v3 \
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--policy pepijn223/smolvla_metaworld
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- name: Upload MetaWorld rollout video
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if: always()
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uses: actions/upload-artifact@v4
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with:
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name: metaworld-rollout-video
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path: /tmp/metaworld-artifacts/videos/
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if-no-files-found: warn
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- name: Upload MetaWorld eval metrics
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if: always()
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uses: actions/upload-artifact@v4
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with:
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name: metaworld-metrics
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path: /tmp/metaworld-artifacts/metrics.json
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if-no-files-found: warn
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