diff --git a/.github/workflows/build-all-tinygrad-models.yaml b/.github/workflows/build-all-tinygrad-models.yaml index 0eedb04703..1ba407b3cf 100644 --- a/.github/workflows/build-all-tinygrad-models.yaml +++ b/.github/workflows/build-all-tinygrad-models.yaml @@ -7,6 +7,19 @@ on: description: 'Minimum selector version required for the models (see helpers.py or readme.md)' required: true type: string + target_hardware: + description: 'Hardware target to compile for (qcom or usbgpu)' + required: true + type: choice + default: 'qcom' + options: + - qcom + - usbgpu + hf_repo: + description: 'Hugging Face dataset repository' + required: false + type: string + default: 'sunnypilot/sunnypilot_models_v1' jobs: setup: @@ -46,13 +59,14 @@ jobs: id: get-json run: | cd docs/docs - latest=$(ls driving_models_v*.json | sed -E 's/.*_v([0-9]+)\.json/\1/' | sort -n | tail -1) + PREFIX="driving_models_${{ inputs.target_hardware == 'usbgpu' && 'usbgpu_' || '' }}v" + latest=$(ls ${PREFIX}*.json | sed -E "s/${PREFIX}([0-9]+)\.json/\1/" | sort -n | tail -1) next=$((latest+1)) - json_file="driving_models_v${next}.json" - cp "driving_models_v${latest}.json" "$json_file" + json_file="${PREFIX}${next}.json" + cp "${PREFIX}${latest}.json" "$json_file" echo "json_file=docs/docs/$json_file" >> $GITHUB_OUTPUT echo "json_version=$((next+0))" >> $GITHUB_OUTPUT - echo "SRC_JSON_FILE=docs/docs/driving_models_v${latest}.json" >> $GITHUB_ENV + echo "SRC_JSON_FILE=docs/docs/${PREFIX}${latest}.json" >> $GITHUB_ENV - name: Extract tinygrad models id: set-matrix @@ -61,45 +75,23 @@ jobs: jq -c '[.bundles[] | select(.runner=="tinygrad") | {ref, display_name: (.display_name | gsub(" \\([^)]*\\)"; "")), is_20hz}]' "$(basename "${SRC_JSON_FILE}")" > matrix.json echo "model_matrix=$(cat matrix.json)" >> $GITHUB_OUTPUT - - name: Set up SSH - uses: webfactory/ssh-agent@v0.9.0 - with: - ssh-private-key: ${{ secrets.GITLAB_SSH_PRIVATE_KEY }} - - run: | - mkdir -p ~/.ssh - ssh-keyscan -H gitlab.com >> ~/.ssh/known_hosts - - - name: Clone GitLab docs repo and create new recompiled dir + - name: Get next recompiled dir number id: create-recompiled-dir env: - GIT_SSH_COMMAND: 'ssh -o UserKnownHostsFile=~/.ssh/known_hosts' + HF_REPO: ${{ github.event.inputs.hf_repo }} run: | - git clone --depth 1 --filter=tree:0 --sparse git@gitlab.com:sunnypilot/public/${{ vars.MODELS_GITLAB }} gitlab_docs - cd gitlab_docs - git checkout main - git sparse-checkout set --no-cone models/ - cd models - latest_dir=$(ls -d recompiled* 2>/dev/null | sed -E 's/recompiled([0-9]+)/\1/' | sort -n | tail -1) - if [[ -z "$latest_dir" ]]; then - next_dir=1 - else - next_dir=$((latest_dir+1)) - fi - recompiled_dir="${next_dir}" - mkdir -p "recompiled${recompiled_dir}" - touch "recompiled${recompiled_dir}/.gitkeep" - cd ../.. + pip install huggingface_hub + recompiled_dir=$(python3 -c " + from huggingface_hub import HfApi + import re, sys + api = HfApi() + files = api.list_repo_files(repo_id=sys.argv[1], repo_type='dataset') + dirs = [re.search(r'models/recompiled([0-9]+)', f) for f in files] + nums = [int(m.group(1)) for m in dirs if m] + print(max(nums) + 1) + " "$HF_REPO") echo "recompiled_dir=$recompiled_dir" >> $GITHUB_OUTPUT - - name: Push empty recompiled dir to GitLab - run: | - cd gitlab_docs - git add models/recompiled${{ steps.create-recompiled-dir.outputs.recompiled_dir }} - git config --global user.name "GitHub Action" - git config --global user.email "action@github.com" - git commit -m "Add recompiled${{ steps.create-recompiled-dir.outputs.recompiled_dir }} for build-all" || echo "No changes to commit" - git push origin main - - name: Push new JSON to GitHub docs repo run: | cd docs @@ -123,25 +115,30 @@ jobs: is_20hz: ${{ matrix.model.is_20hz }} recompiled_dir: ${{ needs.setup.outputs.recompiled_dir }} json_version: ${{ needs.setup.outputs.json_version }} + target_hardware: ${{ github.event.inputs.target_hardware }} + hf_repo: ${{ github.event.inputs.hf_repo }} + set_min_version: ${{ github.event.inputs.set_min_version }} + tinygrad_ref: ${{ needs.setup.outputs.tinygrad_ref }} secrets: inherit retry_failed_models: needs: [setup, get_and_build] runs-on: ubuntu-latest - if: ${{ needs.setup.result != 'failure' && !cancelled() }} + if: ${{ !cancelled() && needs.setup.result == 'success' && (needs.get_and_build.result == 'success' || needs.get_and_build.result == 'failure') }} outputs: retry_matrix: ${{ steps.set-retry-matrix.outputs.retry_matrix }} steps: - uses: actions/download-artifact@v4 with: - pattern: model-* + pattern: artifact-name-* path: output + continue-on-error: true - id: set-retry-matrix run: | echo '${{ needs.setup.outputs.model_matrix }}' > matrix.json - built=(); while IFS= read -r line; do built+=("$line"); done < <( - find output -maxdepth 1 -name 'model-*' -printf "%f\n" | sed -E 's/^model-//' | sed -E 's/-[0-9]+$//' | sed -E 's/ \([^)]*\)//' | awk '{gsub(/^ +| +$/, ""); print}' + built=(); while IFS= read -r line; do [ -n "$line" ] && built+=("$line"); done < <( + find output -maxdepth 1 -name 'artifact-name-*' -printf "%f\n" 2>/dev/null | sed -E 's/^artifact-name-//' | awk '{gsub(/^ +| +$/, ""); print}' ) jq -c --argjson built "$(printf '%s\n' "${built[@]}" | jq -R . | jq -s .)" \ 'map(select(.display_name as $n | ($built | index($n | gsub("^ +| +$"; "")) | not)))' matrix.json > retry_matrix.json @@ -149,7 +146,7 @@ jobs: retry_get_and_build: needs: [setup, get_and_build, retry_failed_models] - if: ${{ needs.get_and_build.result == 'failure' || (needs.retry_failed_models.outputs.retry_matrix != '[]' && needs.retry_failed_models.outputs.retry_matrix != '') }} + if: ${{ !cancelled() && needs.retry_failed_models.result == 'success' && needs.retry_failed_models.outputs.retry_matrix != '[]' && needs.retry_failed_models.outputs.retry_matrix != '' }} strategy: matrix: model: ${{ fromJson(needs.retry_failed_models.outputs.retry_matrix) }} @@ -161,146 +158,9 @@ jobs: is_20hz: ${{ matrix.model.is_20hz }} recompiled_dir: ${{ needs.setup.outputs.recompiled_dir }} json_version: ${{ needs.setup.outputs.json_version }} + target_hardware: ${{ github.event.inputs.target_hardware }} artifact_suffix: -retry + hf_repo: ${{ github.event.inputs.hf_repo }} + set_min_version: ${{ github.event.inputs.set_min_version }} + tinygrad_ref: ${{ needs.setup.outputs.tinygrad_ref }} secrets: inherit - - publish_models: - name: Publish models sequentially - needs: [setup, get_and_build, retry_failed_models, retry_get_and_build] - if: ${{ !cancelled() && (needs.get_and_build.result != 'failure' || needs.retry_get_and_build.result == 'success' || (needs.retry_failed_models.outputs.retry_matrix != '[]' && needs.retry_failed_models.outputs.retry_matrix != '')) }} - runs-on: ubuntu-latest - strategy: - fail-fast: false - max-parallel: 1 - matrix: - model: ${{ fromJson(needs.setup.outputs.model_matrix) }} - env: - RECOMPILED_DIR: recompiled${{ needs.setup.outputs.recompiled_dir }} - JSON_FILE: ${{ needs.setup.outputs.json_file }} - ARTIFACT_NAME_INPUT: ${{ matrix.model.display_name }} - steps: - - name: Set up SSH - uses: webfactory/ssh-agent@v0.9.0 - with: - ssh-private-key: ${{ secrets.GITLAB_SSH_PRIVATE_KEY }} - - - name: Add GitLab.com SSH key to known_hosts - run: | - mkdir -p ~/.ssh - ssh-keyscan -H gitlab.com >> ~/.ssh/known_hosts - - - name: Clone GitLab docs repo - env: - GIT_SSH_COMMAND: 'ssh -o UserKnownHostsFile=~/.ssh/known_hosts' - run: | - echo "Cloning GitLab" - git clone --depth 1 --filter=tree:0 --sparse git@gitlab.com:sunnypilot/public/${{ vars.MODELS_GITLAB }} gitlab_docs - cd gitlab_docs - echo "checkout models/${RECOMPILED_DIR}" - git sparse-checkout set --no-cone models/${RECOMPILED_DIR} - git checkout main - cd .. - - - name: Checkout docs repo - uses: actions/checkout@v4 - with: - repository: sunnypilot/sunnypilot-models - ref: gh-pages - path: docs - ssh-key: ${{ secrets.CI_SUNNYPILOT_DOCS_PRIVATE_KEY }} - - - name: Validate recompiled dir and JSON version - run: | - if [ ! -d "gitlab_docs/models/$RECOMPILED_DIR" ]; then - echo "Recompiled dir $RECOMPILED_DIR does not exist in GitLab repo" - exit 1 - fi - if [ ! -f "$JSON_FILE" ]; then - echo "JSON file $JSON_FILE does not exist!" - exit 1 - fi - - - name: Download artifact name file - uses: actions/download-artifact@v4 - with: - name: artifact-name-${{ env.ARTIFACT_NAME_INPUT }} - path: artifact_name - - - name: Read artifact name - id: read-artifact-name - run: | - ARTIFACT_NAME=$(cat artifact_name/artifact_name.txt) - echo "artifact_name=$ARTIFACT_NAME" >> $GITHUB_OUTPUT - - - name: Download model artifact - uses: actions/download-artifact@v4 - with: - name: ${{ steps.read-artifact-name.outputs.artifact_name }} - path: output - - - name: Remove onnx files bc not needed for recompiled dir since they already exist from single build - run: | - find output -type f -name '*.onnx' -delete - find output -type f -name 'big_*.pkl' -delete - find output -type f -name 'dmonitoring_model_tinygrad.pkl' -delete - - - name: Copy model artifacts to gitlab - env: - ARTIFACT_NAME: ${{ steps.read-artifact-name.outputs.artifact_name }} - run: | - ARTIFACT_DIR="gitlab_docs/models/${RECOMPILED_DIR}/${ARTIFACT_NAME}" - mkdir -p "$ARTIFACT_DIR" - for path in output/*; do - if [ "$(basename "$path")" = "artifact_name.txt" ]; then - continue - fi - name="$(basename "$path")" - if [ -d "$path" ]; then - mkdir -p "$ARTIFACT_DIR/$name" - cp -r "$path"/* "$ARTIFACT_DIR/$name/" - echo "Copied dir $name -> $ARTIFACT_DIR/$name" - else - cp "$path" "$ARTIFACT_DIR/" - echo "Copied file $name -> $ARTIFACT_DIR/" - fi - done - - - name: Push recompiled dir to GitLab - env: - GITLAB_SSH_PRIVATE_KEY: ${{ secrets.GITLAB_SSH_PRIVATE_KEY }} - run: | - cd gitlab_docs - git checkout main - git pull origin main - for d in models/"$RECOMPILED_DIR"/*/; do - git sparse-checkout add "$d" - done - git add models/"$RECOMPILED_DIR" - git config --global user.name "GitHub Action" - git config --global user.email "action@github.com" - git commit -m "Update $RECOMPILED_DIR with model from build-all-tinygrad-models" || echo "No changes to commit" - git push origin main - - run: | - cd docs - git pull origin gh-pages - - - name: update json - run: | - ARGS="" - [ -n "${{ inputs.set_min_version }}" ] && ARGS="$ARGS --set-min-version \"${{ inputs.set_min_version }}\"" - ARGS="$ARGS --sort-by-date" - ARGS="$ARGS --tinygrad-ref \"${{ needs.setup.outputs.tinygrad_ref }}\"" - eval python3 docs/json_parser.py \ - --json-path "$JSON_FILE" \ - --recompiled-dir "gitlab_docs/models/$RECOMPILED_DIR" \ - $ARGS - - - name: Push updated json to GitHub - run: | - cd docs - git config --global user.name "GitHub Action" - git config --global user.email "action@github.com" - git checkout gh-pages - git add docs/"$(basename $JSON_FILE)" - git commit -m "Update $(basename $JSON_FILE) after recompiling model" || echo "No changes to commit" - git push origin gh-pages diff --git a/.github/workflows/build-default-big-model.yaml b/.github/workflows/build-default-big-model.yaml new file mode 100644 index 0000000000..4b05a7977d --- /dev/null +++ b/.github/workflows/build-default-big-model.yaml @@ -0,0 +1,83 @@ +name: Build default big model + +on: + workflow_dispatch: + +env: + HF_REPO: sunnypilot/sunnypilot_models_v1 + HF_DEFAULTS_PATH: models/defaults/big + +jobs: + resolve_name: + runs-on: ubuntu-24.04 + outputs: + model_name: ${{ steps.name.outputs.model_name }} + onnx_ref: ${{ steps.name.outputs.onnx_ref }} + steps: + - uses: actions/checkout@v4 + - id: name + run: | + NAME=$(PYTHONPATH=${{ github.workspace }} python3 -c "from openpilot.sunnypilot.models.model_name import DEFAULT_BIG_MODEL; print(DEFAULT_BIG_MODEL)") + ONNX_REF=$(git log -1 --format='%H' -- openpilot/selfdrive/modeld/models/big_driving_supercombo.onnx) + echo "model_name=${NAME}" >> $GITHUB_OUTPUT + echo "onnx_ref=$ONNX_REF" >> $GITHUB_OUTPUT + + build_model: + needs: resolve_name + uses: ./.github/workflows/sunnypilot-build-model.yaml + with: + upstream_branch: ${{ needs.resolve_name.outputs.onnx_ref }} + custom_name: ${{ needs.resolve_name.outputs.model_name }} + target_hardware: usbgpu + secrets: inherit + + upload_defaults: + needs: [ resolve_name, build_model ] + runs-on: ubuntu-24.04 + permissions: + id-token: write + contents: write + steps: + - uses: actions/checkout@v4 + with: + submodules: recursive + - run: git lfs pull -I "openpilot/selfdrive/modeld/models/big_driving_supercombo.onnx" + + - name: Install huggingface_hub + run: pip install --upgrade "huggingface_hub>=0.22.0" + + - name: Download artifact name + uses: actions/download-artifact@v4 + with: + name: artifact-name-${{ needs.resolve_name.outputs.model_name }} + path: artifact_name + + - name: Read artifact name + id: artifact + run: | + ARTIFACT_NAME=$(cat artifact_name/artifact_name.txt) + echo "artifact_name=$ARTIFACT_NAME" >> $GITHUB_OUTPUT + + - name: Download model artifact + uses: actions/download-artifact@v4 + with: + name: ${{ steps.artifact.outputs.artifact_name }} + path: output + + - name: Upload to HF and update default_models.json + env: + HF_OIDC_RESOURCE: datasets/${{ env.HF_REPO }} + ARTIFACT_NAME: ${{ steps.artifact.outputs.artifact_name }} + run: | + rm -f output/artifact_name.txt + export PYTHONPATH=$(pwd) + python3 release/ci/upload_default_model.py \ + --hf-repo "${{ env.HF_REPO }}" \ + --hf-defaults-path "${{ env.HF_DEFAULTS_PATH }}" \ + --artifact-name "$ARTIFACT_NAME" \ + --model-dir output \ + --onnx-path "openpilot/selfdrive/modeld/models/big_driving_supercombo.onnx" \ + --onnx-ref "${{ needs.resolve_name.outputs.onnx_ref }}" \ + --model-name "${{ needs.resolve_name.outputs.model_name }}" \ + --tinygrad-ref "$(python3 openpilot/sunnypilot/models/tinygrad_ref.py)" \ + --run-number "${{ github.run_number }}" diff --git a/.github/workflows/build-single-tinygrad-model.yaml b/.github/workflows/build-single-tinygrad-model.yaml index cf2d870802..1ad06a54e4 100644 --- a/.github/workflows/build-single-tinygrad-model.yaml +++ b/.github/workflows/build-single-tinygrad-model.yaml @@ -29,11 +29,24 @@ on: required: false type: boolean default: true - bypass_push: - description: 'Bypass pushing to GitLab for build-all' + target_hardware: + description: 'Hardware target to compile for (qcom or usbgpu)' required: false - default: true - type: boolean + type: string + default: 'qcom' + hf_repo: + description: 'Hugging Face dataset repository (e.g. sunnypilot/sunnypilot_models_v1)' + required: false + type: string + default: 'sunnypilot/sunnypilot_models_v1' + set_min_version: + description: 'Minimum selector version' + required: false + type: string + tinygrad_ref: + description: 'Tinygrad reference' + required: false + type: string workflow_dispatch: inputs: upstream_branch: @@ -65,8 +78,8 @@ on: - None - Master Models - Release Models - - 2025 World Models - 2026 World Models + - 2026 Deep RL Models - Custom Merge Models - Other custom_model_folder: @@ -81,9 +94,22 @@ on: description: 'Minimum selector version' required: false type: string + target_hardware: + description: 'Hardware target to compile for' + required: false + type: choice + default: 'qcom' + options: + - qcom + - usbgpu + hf_repo: + description: 'Hugging Face dataset repository' + required: false + type: string + default: 'sunnypilot/sunnypilot_models_v1' env: RECOMPILED_DIR: recompiled${{ inputs.recompiled_dir }} - JSON_FILE: docs/docs/driving_models_v${{ inputs.json_version }}.json + JSON_FILE: docs/docs/driving_models_${{ inputs.target_hardware == 'usbgpu' && 'usbgpu_v' || 'v' }}${{ inputs.json_version }}.json jobs: build_model: @@ -93,38 +119,20 @@ jobs: custom_name: ${{ inputs.custom_name || inputs.upstream_branch }} is_20hz: ${{ inputs.is_20hz }} artifact_suffix: ${{ inputs.artifact_suffix }} + target_hardware: ${{ inputs.target_hardware }} secrets: inherit publish_model: - if: ${{ !inputs.bypass_push && !cancelled() }} + if: ${{ !cancelled() && needs.build_model.result == 'success' }} concurrency: - group: gitlab-push-${{ inputs.recompiled_dir }} + group: hf-push-${{ inputs.recompiled_dir }} cancel-in-progress: false needs: build_model runs-on: ubuntu-latest + permissions: + id-token: write + contents: write steps: - - name: Set up SSH - uses: webfactory/ssh-agent@v0.9.0 - with: - ssh-private-key: ${{ secrets.GITLAB_SSH_PRIVATE_KEY }} - - - name: Add GitLab.com SSH key to known_hosts - run: | - mkdir -p ~/.ssh - ssh-keyscan -H gitlab.com >> ~/.ssh/known_hosts - - - name: Clone GitLab docs repo - env: - GIT_SSH_COMMAND: 'ssh -o UserKnownHostsFile=~/.ssh/known_hosts' - run: | - echo "Cloning GitLab" - git clone --depth 1 --filter=tree:0 --sparse git@gitlab.com:sunnypilot/public/${{ vars.MODELS_GITLAB }} gitlab_docs - cd gitlab_docs - echo "checkout models/${RECOMPILED_DIR}" - git sparse-checkout set --no-cone models/${RECOMPILED_DIR} - git checkout main - cd .. - - name: Checkout docs repo uses: actions/checkout@v4 with: @@ -133,16 +141,28 @@ jobs: path: docs ssh-key: ${{ secrets.CI_SUNNYPILOT_DOCS_PRIVATE_KEY }} - - name: Validate recompiled dir and JSON version + - name: Install huggingface_hub + run: pip install --upgrade "huggingface_hub>=0.22.0" + + - name: Validate hf_repo and JSON version + env: + HF_OIDC_RESOURCE: datasets/${{ inputs.hf_repo }} run: | - if [ ! -d "gitlab_docs/models/$RECOMPILED_DIR" ]; then - echo "Recompiled dir $RECOMPILED_DIR does not exist in GitLab repo" - exit 1 - fi if [ ! -f "$JSON_FILE" ]; then echo "JSON file $JSON_FILE does not exist!" exit 1 fi + python3 -c " + import sys + from huggingface_hub import HfApi + try: + api = HfApi() + api.repo_info(repo_id=sys.argv[1], repo_type='dataset') + print(f'Success: Repo {sys.argv[1]} exists.') + except Exception as e: + print('HF validation failed:', e) + sys.exit(1) + " "${{ inputs.hf_repo }}" - name: Download artifact name file uses: actions/download-artifact@v4 @@ -162,49 +182,26 @@ jobs: name: ${{ steps.read-artifact-name.outputs.artifact_name }} path: output - - name: Remove unwanted files - run: | - find output -type f -name 'dmonitoring_model_tinygrad.pkl' -delete - find output -type f -name 'dmonitoring_model.onnx' -delete - - - name: Copy model artifact(s) to GitLab recompiled dir + - name: Create models folder env: ARTIFACT_NAME: ${{ steps.read-artifact-name.outputs.artifact_name }} run: | - ARTIFACT_DIR="gitlab_docs/models/${RECOMPILED_DIR}/${ARTIFACT_NAME}" - mkdir -p "$ARTIFACT_DIR" - for path in output/*; do - if [ "$(basename "$path")" = "artifact_name.txt" ]; then - continue - fi - name="$(basename "$path")" - if [ -d "$path" ]; then - mkdir -p "$ARTIFACT_DIR/$name" - cp -r "$path"/* "$ARTIFACT_DIR/$name/" - echo "Copied dir $name -> $ARTIFACT_DIR/$name" - else - cp "$path" "$ARTIFACT_DIR/" - echo "Copied file $name -> $ARTIFACT_DIR/" - fi - done + mkdir -p "local_models/${RECOMPILED_DIR}/${ARTIFACT_NAME}" + cp -r output/* "local_models/${RECOMPILED_DIR}/${ARTIFACT_NAME}/" + rm -f "local_models/${RECOMPILED_DIR}/${ARTIFACT_NAME}/artifact_name.txt" - - name: Push recompiled dir to GitLab + - name: Upload to Hugging Face env: - GITLAB_SSH_PRIVATE_KEY: ${{ secrets.GITLAB_SSH_PRIVATE_KEY }} + HF_OIDC_RESOURCE: datasets/${{ inputs.hf_repo }} + ARTIFACT_NAME: ${{ steps.read-artifact-name.outputs.artifact_name }} run: | - cd gitlab_docs - git checkout main - git pull origin main - for d in models/"$RECOMPILED_DIR"/*/; do - git sparse-checkout add "$d" - done - git add models/"$RECOMPILED_DIR" - git config --global user.name "GitHub Action" - git config --global user.email "action@github.com" - git commit -m "Create/Update $RECOMPILED_DIR with new/updated model from build-single-tinygrad-model" || echo "No changes to commit" - git push origin main + hf upload ${{ inputs.hf_repo }} \ + output/ \ + "models/${RECOMPILED_DIR}/${ARTIFACT_NAME}/" \ + --repo-type=dataset - - run: | + - name: Pull gh-pages + run: | cd docs git pull origin gh-pages @@ -220,9 +217,11 @@ jobs: fi [ -n "${{ inputs.generation }}" ] && ARGS="$ARGS --generation \"${{ inputs.generation }}\"" [ -n "${{ inputs.version }}" ] && ARGS="$ARGS --version \"${{ inputs.version }}\"" + [ -n "${{ inputs.set_min_version }}" ] && ARGS="$ARGS --set-min-version \"${{ inputs.set_min_version }}\"" + [ -n "${{ inputs.tinygrad_ref }}" ] && ARGS="$ARGS --tinygrad-ref \"${{ inputs.tinygrad_ref }}\"" eval python3 docs/json_parser.py \ --json-path "$JSON_FILE" \ - --recompiled-dir "gitlab_docs/models/$RECOMPILED_DIR" \ + --recompiled-dir "local_models/$RECOMPILED_DIR" \ --sort-by-date \ $ARGS diff --git a/.github/workflows/sunnypilot-build-model.yaml b/.github/workflows/sunnypilot-build-model.yaml index 2c435e58a0..bc132ae1bf 100644 --- a/.github/workflows/sunnypilot-build-model.yaml +++ b/.github/workflows/sunnypilot-build-model.yaml @@ -80,6 +80,7 @@ jobs: with: repository: commaai/openpilot ref: ${{ inputs.upstream_branch }} + fetch-depth: 1 submodules: recursive path: openpilot @@ -89,26 +90,38 @@ jobs: with: repository: sunnypilot/sunnypilot ref: ${{ inputs.upstream_branch }} + fetch-depth: 1 submodules: recursive path: openpilot - name: Get commit date id: commit-date run: | - cd ${{ github.workspace }}/openpilot + cd ${{ github.workspace }}/openpilot/openpilot commit_date=$(git log -1 --format=%cd --date=format:'%B %d, %Y') echo "model_date=${commit_date}" >> $GITHUB_OUTPUT cat $GITHUB_OUTPUT - run: | - cd ${{ github.workspace }}/openpilot - git lfs pull + cd ${{ github.workspace }}/openpilot/openpilot + if [ "${{ inputs.target_hardware }}" != "usbgpu" ]; then + git lfs pull -X "**/selfdrive/modeld/models/big_*.onnx,**/selfdrive/modeld/models/dmonitoring_*.onnx" + rm -f selfdrive/modeld/models/big_*.onnx selfdrive/modeld/models/dmonitoring_*.onnx + else + git lfs pull -I "**/selfdrive/modeld/models/big_*.onnx" -X "" + find selfdrive/modeld/models -name "*.onnx" ! -name "big_*.onnx" -delete + fi + if grep -lIF "version https://git-lfs.github.com/spec/v1" selfdrive/modeld/models/*.onnx; then + echo "::error::the ONNX files above are still LFS pointers, not real models" + exit 1 + fi - name: 'Upload Artifact' uses: actions/upload-artifact@v4 with: name: models-${{ env.REF }}${{ inputs.artifact_suffix }} path: ${{ github.workspace }}/openpilot/openpilot/selfdrive/modeld/models/*.onnx + if-no-files-found: error build_model: - runs-on: [self-hosted, tici] + runs-on: [self-hosted, usbgpu] needs: get_model env: MODEL_NAME: ${{ inputs.custom_name || inputs.upstream_branch }} (${{ needs.get_model.outputs.model_date }}) @@ -116,24 +129,9 @@ jobs: steps: - uses: actions/checkout@v4 with: + fetch-depth: 1 submodules: recursive - - run: git lfs pull - - name: Cache SCons - uses: actions/cache@v4 - with: - path: ${{env.SCONS_CACHE_DIR}} - key: scons-${{ runner.os }}-${{ runner.arch }}-${{ github.head_ref || github.ref_name }}-model-${{ github.sha }} - # Note: GitHub Actions enforces cache isolation between different build sources (PR builds, workflow dispatches, etc.) - # for security. Only caches from the default branch are shared across all builds. This is by design and cannot be overridden. - restore-keys: | - scons-${{ runner.os }}-${{ runner.arch }}-${{ github.head_ref || github.ref_name }}-model - scons-${{ runner.os }}-${{ runner.arch }}-${{ github.head_ref || github.ref_name }} - scons-${{ runner.os }}-${{ runner.arch }}-${{ env.MASTER_NEW_BRANCH }}-model - scons-${{ runner.os }}-${{ runner.arch }}-${{ env.MASTER_BRANCH }}-model - scons-${{ runner.os }}-${{ runner.arch }}-${{ env.MASTER_NEW_BRANCH }} - scons-${{ runner.os }}-${{ runner.arch }}-${{ env.MASTER_BRANCH }} - scons-${{ runner.os }}-${{ runner.arch }} - name: Set environment variables id: set-env @@ -144,7 +142,7 @@ jobs: export UV_PYTHON_PREFERENCE=managed export UV_PYTHON_INSTALL_DIR=${HOME}/uv/python export VIRTUAL_ENV=$UV_PROJECT_ENVIRONMENT - uv sync + uv sync --frozen printenv >> $GITHUB_ENV if [[ "${{ runner.debug }}" == "1" ]]; then cat $GITHUB_OUTPUT @@ -166,15 +164,13 @@ jobs: fi source ${UV_PROJECT_ENVIRONMENT}/bin/activate PYTHONPATH=$PYTHONPATH:${{ github.workspace }}/ ${{ github.workspace }}/scripts/manage-powersave.py --disable - rm -rf ${{ env.MODELS_DIR }}/*.onnx + rm -rf ${{ env.MODELS_DIR }}/*.onnx* - name: Download model artifacts uses: actions/download-artifact@v4 with: name: models-${{ env.REF }}${{ inputs.artifact_suffix }} path: ${{ env.MODELS_DIR }} - - run: | - rm -f ${{ env.MODELS_DIR }}/{dmonitoring_model,big_driving_policy,big_driving_vision,big_driving_supercombo}.onnx - name: Build Model run: | @@ -188,34 +184,48 @@ jobs: MODEL_SIZE=$(python3 -c "from openpilot.common.transformations.model import MEDMODEL_INPUT_SIZE as s; print(f'{s[0]}x{s[1]}')") CAMERA_RES=$(python3 -c "from openpilot.common.transformations.camera import _ar_ox_fisheye as a, _os_fisheye as o; print(f'{a.width}x{a.height} {o.width}x{o.height}')") + TG_FLAGS_QCOM="DEV=QCOM IMAGE=1 FLOAT16=1 NOLOCALS=1 JIT_BATCH_SIZE=0 OPENPILOT_HACKS=1" if [ "${{ inputs.target_hardware }}" == "usbgpu" ]; then echo "USBGPU build" export USBGPU=1 - TG_FLAGS="DEV=AMD USBGPU=1 IMAGE=1 FLOAT16=1 NOLOCALS=1 JIT_BATCH_SIZE=0 OPENPILOT_HACKS=1" + TG_FLAGS="DEBUG=2 DEV=USB+AMD:LLVM WARP_DEV=QCOM FLOAT16=1 JIT_BATCH_SIZE=0 GMMU=0 TC_OPT=2" OUTPUT_PKL="${{ env.MODELS_DIR }}/big_driving_tinygrad.pkl" else echo "QCOM build" - TG_FLAGS="DEV=QCOM IMAGE=1 FLOAT16=1 NOLOCALS=1 JIT_BATCH_SIZE=0 OPENPILOT_HACKS=1" + TG_FLAGS="$TG_FLAGS_QCOM" OUTPUT_PKL="${{ env.MODELS_DIR }}/driving_tinygrad.pkl" fi # Generate metadata for all ONNX files find "${{ env.MODELS_DIR }}" -maxdepth 1 -name '*.onnx' | while IFS= read -r onnx_file; do echo "Generating metadata: $onnx_file" - env ${TG_FLAGS} python3 "${{ env.MODELS_DIR }}/../get_model_metadata.py" "$onnx_file" || true + env ${TG_FLAGS_QCOM} python3 "${{ env.MODELS_DIR }}/../get_model_metadata.py" "$onnx_file" || true done # Detect model type and build compile args - VISION_ONNX="${{ env.MODELS_DIR }}/driving_vision.onnx" - POLICY_ONNX="${{ env.MODELS_DIR }}/driving_policy.onnx" - OFF_POLICY_ONNX="${{ env.MODELS_DIR }}/driving_off_policy.onnx" - ON_POLICY_ONNX="${{ env.MODELS_DIR }}/driving_on_policy.onnx" + VISION_ONNX="" + for f in "${{ env.MODELS_DIR }}/driving_vision.onnx" "${{ env.MODELS_DIR }}/big_driving_vision.onnx"; do + [ -f "$f" ] && VISION_ONNX="$f" && break + done + + POLICY_ONNX="" + for f in "${{ env.MODELS_DIR }}/driving_policy.onnx" "${{ env.MODELS_DIR }}/big_driving_policy.onnx"; do + [ -f "$f" ] && POLICY_ONNX="$f" && break + done + + OFF_POLICY_ONNX="" + for f in "${{ env.MODELS_DIR }}/driving_off_policy.onnx" "${{ env.MODELS_DIR }}/big_driving_off_policy.onnx"; do + [ -f "$f" ] && OFF_POLICY_ONNX="$f" && break + done + + ON_POLICY_ONNX="" + for f in "${{ env.MODELS_DIR }}/driving_on_policy.onnx" "${{ env.MODELS_DIR }}/big_driving_on_policy.onnx"; do + [ -f "$f" ] && ON_POLICY_ONNX="$f" && break + done + SUPERCOMBO_ONNX="" - for f in "${{ env.MODELS_DIR }}/supercombo.onnx" "${{ env.MODELS_DIR }}/driving_supercombo.onnx"; do - if [ -f "$f" ]; then - SUPERCOMBO_ONNX="$f" - break - fi + for f in "${{ env.MODELS_DIR }}/supercombo.onnx" "${{ env.MODELS_DIR }}/driving_supercombo.onnx" "${{ env.MODELS_DIR }}/big_supercombo.onnx" "${{ env.MODELS_DIR }}/big_driving_supercombo.onnx"; do + [ -f "$f" ] && SUPERCOMBO_ONNX="$f" && break done MODEL_TYPE="" ONNX_ARGS="" OUTPUT_NAME="" @@ -254,10 +264,8 @@ jobs: # Copy the model files rsync -avm \ --include='*.dlc' \ - --include='*.pkl' \ --include='*.chunk*' \ --include='*.chunkmanifest' \ - --include='*.onnx' \ --exclude='*' \ --delete-excluded \ --chown=comma:comma \ diff --git a/.github/workflows/sunnypilot-build-prebuilt.yaml b/.github/workflows/sunnypilot-build-prebuilt.yaml index 12a3a7bce0..e155a68d4a 100644 --- a/.github/workflows/sunnypilot-build-prebuilt.yaml +++ b/.github/workflows/sunnypilot-build-prebuilt.yaml @@ -4,12 +4,8 @@ env: BUILD_DIR: "/data/openpilot" OUTPUT_DIR: ${{ github.workspace }}/output CI_DIR: ${{ github.workspace }}/release/ci - SCONS_CACHE_DIR: ${{ github.workspace }}/release/ci/scons_cache PUBLIC_REPO_URL: "https://github.com/sunnypilot/sunnypilot" - # Branch configurations - STAGING_SOURCE_BRANCH: 'master' - # Runtime configuration SOURCE_BRANCH: "${{ github.head_ref || github.ref_name }}" @@ -40,6 +36,7 @@ jobs: publish_concurrency_group: ${{ steps.strategy.outputs.publish_concurrency_group }} is_stable_branch: ${{ steps.strategy.outputs.is_stable_branch }} build: ${{ steps.strategy.outputs.build }} + include_big_model: ${{ steps.strategy.outputs.include_big_model }} steps: - uses: actions/checkout@v4 - name: Extract deploy strategy @@ -82,6 +79,9 @@ jobs: stable_version=$(cat openpilot/sunnypilot/common/version.h | grep SUNNYPILOT_VERSION | sed -e 's/[^0-9|.]//g'); echo "version=$([ "$is_stable_branch" = "true" ] && echo "$stable_version" || echo "$BUILD")" >> $GITHUB_OUTPUT echo "extra_version_identifier=${environment}" >> $GITHUB_OUTPUT + + include_big_model="$(echo "$CONFIG" | jq -r '.include_big_model // false')"; + echo "include_big_model=$include_big_model" >> $GITHUB_OUTPUT fi echo "build=$BUILD" >> $GITHUB_OUTPUT cat $GITHUB_OUTPUT @@ -109,11 +109,6 @@ jobs: group: build-${{ github.head_ref || github.ref_name }} cancel-in-progress: false runs-on: [self-hosted, tici] - outputs: - new_branch: ${{ needs.prepare_strategy.outputs.new_branch }} - version: ${{ needs.prepare_strategy.outputs.version }} - extra_version_identifier: ${{ needs.prepare_strategy.outputs.extra_version_identifier }} - commit_sha: ${{ github.sha }} if: ${{ (always() && !cancelled() && !failure()) && needs.prepare_strategy.result == 'success' && @@ -129,26 +124,8 @@ jobs: repository: ${{ github.event.pull_request.head.repo.fork && github.event.pull_request.head.repo.full_name || github.repository }} - run: git lfs pull - - name: Cache SCons - uses: actions/cache@v4 - with: - path: ${{env.SCONS_CACHE_DIR}} - key: scons-${{ runner.os }}-${{ runner.arch }}-${{ env.SOURCE_BRANCH }}-${{ github.sha }} - # Note: GitHub Actions enforces cache isolation between different build sources (PR builds, workflow dispatches, etc.) - # for security. Only caches from the default branch are shared across all builds. This is by design and cannot be overridden. - restore-keys: | - scons-${{ runner.os }}-${{ runner.arch }}-${{ env.SOURCE_BRANCH }} - scons-${{ runner.os }}-${{ runner.arch }}-${{ env.STAGING_SOURCE_BRANCH }} - scons-${{ runner.os }}-${{ runner.arch }} - - name: Set environment variables - id: set-env run: | - echo "new_branch=${{ needs.prepare_strategy.outputs.new_branch }}" >> $GITHUB_OUTPUT - echo "version=${{ needs.prepare_strategy.outputs.version }}" >> $GITHUB_OUTPUT - echo "extra_version_identifier=${{ needs.prepare_strategy.outputs.extra_version_identifier }}" >> $GITHUB_OUTPUT - echo "commit_sha=${{ github.sha }}" >> $GITHUB_OUTPUT - # Set up common environment source /etc/profile; export UV_PROJECT_ENVIRONMENT=${HOME}/venv @@ -157,9 +134,6 @@ jobs: export VIRTUAL_ENV=$UV_PROJECT_ENVIRONMENT uv sync printenv >> $GITHUB_ENV - if [[ "${{ runner.debug }}" == "1" ]]; then - cat $GITHUB_OUTPUT - fi - name: Setup build environment run: | @@ -168,7 +142,7 @@ jobs: echo "Starting build stage..." echo "BUILD_DIR: ${BUILD_DIR}" echo "CI_DIR: ${CI_DIR}" - echo "VERSION: ${{ steps.set-env.outputs.version }}" + echo "VERSION: ${{ needs.prepare_strategy.outputs.version }}" echo "UV_PROJECT_ENVIRONMENT: ${UV_PROJECT_ENVIRONMENT}" echo "VIRTUAL_ENV: ${VIRTUAL_ENV}" echo "-------" @@ -180,61 +154,44 @@ jobs: - name: Build Main Project run: | - export PYTHONPATH="$BUILD_DIR" - ./tools/release/release_files.py | sort | uniq | rsync -rRl${RUNNER_DEBUG:+v} --files-from=- . $BUILD_DIR/ + export PYTHONPATH="$BUILD_DIR:$BUILD_DIR/msgq_repo:$BUILD_DIR/opendbc_repo:$BUILD_DIR/rednose_repo:$BUILD_DIR/teleoprtc_repo:$BUILD_DIR/tinygrad_repo" + ./tools/release/release_files.py | xargs -0 cp -pR --parents -t "$BUILD_DIR" -- + # outside the checkout, which is wiped each run. /data/scons_cache is the device's, not ours. + SCONS_CACHE="$RUNNER_WORKSPACE/scons_cache" + mkdir -p "$SCONS_CACHE" cd $BUILD_DIR - ln -sfn msgq_repo/msgq msgq - ln -sfn opendbc_repo/opendbc opendbc - ln -sfn rednose_repo/rednose rednose - ln -sfn teleoprtc_repo/teleoprtc teleoprtc - ln -sfn tinygrad_repo/tinygrad tinygrad - sed -i '/from .board.jungle import PandaJungle, PandaJungleDFU/s/^/#/' panda/__init__.py - echo "Building sunnypilot's modeld_v2..." - scons -j$(nproc) cache_dir=${{env.SCONS_CACHE_DIR}} --minimal openpilot/sunnypilot/modeld_v2 - echo "Building sunnypilot's locationd..." - scons -j2 cache_dir=${{env.SCONS_CACHE_DIR}} --minimal openpilot/sunnypilot/selfdrive/locationd - echo "Building openpilot's locationd..." - scons -j1 cache_dir=${{env.SCONS_CACHE_DIR}} --minimal openpilot/selfdrive/locationd + echo "Building locationd..." + # -j1: parallel rednose generators OOM the device + scons -j1 cache_dir="$SCONS_CACHE" --minimal \ + openpilot/selfdrive/locationd openpilot/sunnypilot/selfdrive/locationd echo "Building rest of sunnypilot" - scons -j$(nproc) cache_dir=${{env.SCONS_CACHE_DIR}} --minimal + /usr/bin/time -v scons -j$(nproc) cache_dir="$SCONS_CACHE" --minimal touch ${BUILD_DIR}/prebuilt if [[ "${{ runner.debug }}" == "1" ]]; then ls -la ${BUILD_DIR} fi - - name: Prepare Output + - name: Strip release tree run: | - sudo rm -rf ${OUTPUT_DIR} - mkdir -p ${OUTPUT_DIR} - rsync -am${RUNNER_DEBUG:+v} \ - --exclude='.sconsign.dblite' \ - --exclude='*.a' \ - --exclude='*.o' \ - --exclude='*.os' \ - --exclude='*.pyc' \ - --exclude='moc_*' \ - --exclude='__pycache__' \ - --exclude='Jenkinsfile' \ - --exclude='**/release/' \ - --exclude='**/.github/' \ - --exclude='**/openpilot/selfdrive/ui/replay/' \ - --exclude='**/__pycache__/' \ - --exclude='${{env.SCONS_CACHE_DIR}}' \ - --exclude='**/.git/' \ - --exclude='**/SConstruct' \ - --exclude='**/SConscript' \ - --exclude='**/.venv/' \ - --exclude='openpilot/selfdrive/modeld/models/*.onnx*' \ - --exclude='openpilot/sunnypilot/modeld*/models/*.onnx*' \ - --exclude='openpilot/third_party/*x86*' \ - --exclude='openpilot/third_party/*Darwin*' \ - --delete-excluded \ - --chown=comma:comma \ - ${BUILD_DIR}/ ${OUTPUT_DIR}/ + cd $BUILD_DIR + find . -name '*.a' -delete + find . -name '*.o' -delete + find . -name '*.os' -delete + find . -name '*.pyc' -delete + find . -name 'moc_*' -delete + find . -name '__pycache__' -type d -exec rm -rf {} + + find . -name 'SConstruct' -delete + find . -name 'SConscript' -delete + rm -rf .sconsign.dblite Jenkinsfile tools/release/ release/ + rm -f openpilot/selfdrive/modeld/models/*.onnx* + rm -f openpilot/sunnypilot/modeld*/models/*.onnx* + find openpilot/third_party/ -name '*x86*' -exec rm -r {} + + find openpilot/third_party/ -name '*Darwin*' -exec rm -r {} + + cd - - name: 'Tar.gz files' run: | - tar czf prebuilt.tar.gz -C ${{ env.OUTPUT_DIR }} . + tar czf prebuilt.tar.gz -C ${{ env.BUILD_DIR }} . ls -la prebuilt.tar.gz - name: 'Upload Artifact' @@ -242,6 +199,7 @@ jobs: with: name: prebuilt path: prebuilt.tar.gz + compression-level: 0 - name: Re-enable powersave if: always() @@ -249,6 +207,101 @@ jobs: source ${UV_PROJECT_ENVIRONMENT}/bin/activate PYTHONPATH=$PYTHONPATH:${{ github.workspace }}/ ${{ github.workspace }}/scripts/manage-powersave.py --enable + prepare_chestnut: + needs: [ prepare_strategy ] + runs-on: ubuntu-24.04 + if: ${{ needs.prepare_strategy.outputs.include_big_model == 'true' }} + env: + HF_REPO: sunnypilot/sunnypilot_models_v1 + HF_DEFAULTS_PATH: models/defaults/big + steps: + - uses: actions/checkout@v4 + with: + ref: ${{ github.head_ref || github.ref_name }} + + - run: git lfs pull -I "openpilot/selfdrive/modeld/models/big_driving_supercombo.onnx" + + - name: Check HF defaults and build if needed + id: resolve + run: | + ACTUAL_ONNX_HASH=$(sha256sum "openpilot/selfdrive/modeld/models/big_driving_supercombo.onnx" | cut -d' ' -f1) + echo "Repo ONNX hash: $ACTUAL_ONNX_HASH" + + JSON_URL="https://huggingface.co/datasets/${HF_REPO}/resolve/main/${HF_DEFAULTS_PATH}/default_models.json" + + check_hash() { + DEFAULTS=$(curl -fsSL "$JSON_URL" 2>/dev/null) || return 1 + BUNDLE=$(echo "$DEFAULTS" | jq --arg hash "$ACTUAL_ONNX_HASH" '.bundles[] | select(.onnx_sha256 == $hash)' 2>/dev/null) + [ -n "$BUNDLE" ] && [ "$BUNDLE" != "null" ] + } + + if check_hash; then + echo "HF defaults match repo ONNX" + else + echo "No matching model on HF — triggering build" + gh workflow run build-default-big-model.yaml --ref "${{ github.head_ref || github.ref_name }}" + + echo "Waiting for build to start..." + sleep 120 + + RUN_ID=$(gh run list --workflow=build-default-big-model.yaml --branch="${{ github.head_ref || github.ref_name }}" --limit=1 --json databaseId --jq '.[0].databaseId') + if [ -z "$RUN_ID" ] || [ "$RUN_ID" = "null" ]; then + echo "::error::Failed to find build-default-big-model run" + exit 1 + fi + + echo "Waiting for run $RUN_ID..." + gh run watch "$RUN_ID" + + CONCLUSION=$(gh run view "$RUN_ID" --json conclusion --jq '.conclusion') + if [ "$CONCLUSION" != "success" ]; then + echo "::error::build-default-big-model failed: $CONCLUSION" + exit 1 + fi + + if ! check_hash; then + echo "::error::HF defaults still don't match after build" + exit 1 + fi + fi + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + + - name: Download big model chunks + run: | + ACTUAL_ONNX_HASH=$(sha256sum "openpilot/selfdrive/modeld/models/big_driving_supercombo.onnx" | cut -d' ' -f1) + JSON_URL="https://huggingface.co/datasets/${HF_REPO}/resolve/main/${HF_DEFAULTS_PATH}/default_models.json" + DEFAULTS=$(curl -fsSL "$JSON_URL") + BUNDLE=$(echo "$DEFAULTS" | jq --arg hash "$ACTUAL_ONNX_HASH" '.bundles[] | select(.onnx_sha256 == $hash)') + + mkdir -p big_model_chunks + ARTIFACT=$(echo "$BUNDLE" | jq -r '.models[0].artifact') + BASE_URL=$(echo "$ARTIFACT" | jq -r '.download_uri.url' | sed 's|/[^/]*$||') + NUM_CHUNKS=$(echo "$ARTIFACT" | jq -r '.chunks | length') + + CANONICAL="big_driving_tinygrad.pkl" + echo "$ARTIFACT" | jq -r '.chunks[].file_name' | while read CHUNK_NAME; do + CHUNK_IDX=$(echo "$CHUNK_NAME" | grep -oP 'chunk\K[0-9]+of[0-9]+') + CANONICAL_CHUNK="${CANONICAL}.chunk${CHUNK_IDX}" + ENCODED_URL=$(python3 -c "import urllib.parse; print(urllib.parse.quote('${BASE_URL}/${CHUNK_NAME}', safe=':/'))") + echo "Downloading $CHUNK_NAME -> $CANONICAL_CHUNK" + curl -fsSL -o "big_model_chunks/${CANONICAL_CHUNK}" "$ENCODED_URL" + done + + echo "$NUM_CHUNKS" > "big_model_chunks/${CANONICAL}.chunkmanifest" + + - name: Upload big model chunks + uses: actions/upload-artifact@v4 + with: + name: big-model-chunks + path: big_model_chunks/ + compression-level: 0 + + - name: Cancel run on failure + if: failure() + run: gh run cancel ${{ github.run_id }} + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} publish: concurrency: @@ -257,14 +310,20 @@ jobs: # Otherwise, if a job is waiting to be published due to environment wait time, it would be canceled by a new commit and restart the wait time. group: ${{ needs.prepare_strategy.outputs.publish_concurrency_group }} cancel-in-progress: ${{ needs.prepare_strategy.outputs.cancel_publish_in_progress == 'true' }} - if: ${{ (always() && !cancelled() && !failure()) && needs.build.result == 'success' && needs.prepare_strategy.result == 'success' && (!contains(github.event_name, 'pull_request') || (github.event.action == 'labeled' && github.event.label.name == 'prebuilt')) }} - needs: [ build, prepare_strategy ] + if: ${{ + always() && !cancelled() && + needs.build.result == 'success' && + needs.prepare_strategy.result == 'success' && + (!contains(github.event_name, 'pull_request') || (github.event.action == 'labeled' && github.event.label.name == 'prebuilt')) && + (needs.prepare_strategy.outputs.include_big_model != 'true' || needs.prepare_chestnut.result == 'success') + }} + needs: [ build, prepare_strategy, prepare_chestnut ] runs-on: ubuntu-24.04 environment: ${{ needs.prepare_strategy.outputs.environment }} steps: - uses: actions/checkout@v4 - - name: Download build artifacts + - name: Download prebuilt artifact uses: actions/download-artifact@v4 with: name: prebuilt @@ -274,6 +333,24 @@ jobs: mkdir -p ${{ env.OUTPUT_DIR }} tar xzf prebuilt.tar.gz -C ${{ env.OUTPUT_DIR }} + - name: Prepare chestnut output + if: ${{ needs.prepare_chestnut.result == 'success' }} + run: | + mkdir -p "${{ github.workspace }}/chestnut_output" + tar xzf prebuilt.tar.gz -C "${{ github.workspace }}/chestnut_output" + + - name: Download big model chunks + if: ${{ needs.prepare_chestnut.result == 'success' }} + uses: actions/download-artifact@v4 + with: + name: big-model-chunks + path: big_model_chunks + + - name: Inject big model into chestnut + if: ${{ needs.prepare_chestnut.result == 'success' }} + run: | + cp big_model_chunks/* "${{ github.workspace }}/chestnut_output/openpilot/selfdrive/modeld/models/" + - name: Configure Git run: | git config --global user.email "github-actions[bot]@users.noreply.github.com" @@ -283,29 +360,38 @@ jobs: env: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} run: | - echo '${{ toJSON(needs.build.outputs) }}' + echo '${{ toJSON(needs.prepare_strategy.outputs) }}' ls -la ${{ env.OUTPUT_DIR }} ${{ env.CI_DIR }}/publish.sh \ "${{ github.workspace }}" \ "${{ env.OUTPUT_DIR }}" \ - "${{ needs.build.outputs.new_branch }}" \ - "${{ needs.build.outputs.version }}" \ + "${{ needs.prepare_strategy.outputs.new_branch }}" \ + "${{ needs.prepare_strategy.outputs.version }}" \ "https://x-access-token:${{github.token}}@github.com/sunnypilot/sunnypilot.git" \ - "${{ needs.build.outputs.extra_version_identifier }}" + "${{ needs.prepare_strategy.outputs.extra_version_identifier }}" - echo "" - echo "---- ℹ️ To update the list of branches that auto deploy prebuilts -----" - echo "" - echo "1. Go to: ${{ github.server_url }}/${{ github.repository }}/settings/variables/actions/AUTO_DEPLOY_PREBUILT_BRANCHES" - echo "2. Current value: ${{ vars.AUTO_DEPLOY_PREBUILT_BRANCHES }}" - echo "3. Update as needed (JSON array with no spaces)" + - name: Publish chestnut branch + if: ${{ needs.prepare_chestnut.result == 'success' }} + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + run: | + CHESTNUT_BRANCH="${{ needs.prepare_strategy.outputs.new_branch }}-chestnut" + CHESTNUT_DIR="${{ github.workspace }}/chestnut_output" + + ${{ env.CI_DIR }}/publish.sh \ + "${{ github.workspace }}" \ + "$CHESTNUT_DIR" \ + "$CHESTNUT_BRANCH" \ + "${{ needs.prepare_strategy.outputs.version }}" \ + "https://x-access-token:${{github.token}}@github.com/sunnypilot/sunnypilot.git" \ + "${{ needs.prepare_strategy.outputs.extra_version_identifier }}" - name: Tag ${{ needs.prepare_strategy.outputs.environment }} if: ${{ needs.prepare_strategy.outputs.is_stable_branch == 'true' && (github.event_name != 'push' || !startsWith(github.ref, 'refs/tags/')) }} run: | TAG="${{ needs.prepare_strategy.outputs.environment }}/${{ needs.prepare_strategy.outputs.version }}/${{ needs.prepare_strategy.outputs.build }}" - git tag -f -a ${TAG} -m "${{ needs.prepare_strategy.outputs.environment }} @ ${{ needs.prepare_strategy.outputs.version }} of build ${{ needs.build.outputs.build }}." + git tag -f -a ${TAG} -m "${{ needs.prepare_strategy.outputs.environment }} @ ${{ needs.prepare_strategy.outputs.version }} of build ${{ needs.prepare_strategy.outputs.build }}." git push -f origin ${TAG} notify: @@ -313,6 +399,7 @@ jobs: - prepare_strategy - build - publish + - prepare_chestnut runs-on: ubuntu-24.04 if: ${{ (always() && !cancelled() && !failure()) && needs.publish.result == 'success' @@ -324,7 +411,6 @@ jobs: - name: Prepare notification message id: message run: | - TEMPLATE='${{ vars.DISCOURSE_GENERAL_UPDATE_NOTICE }}' export VERSION="${{ needs.prepare_strategy.outputs.version }}" export branch_name="${{ env.SOURCE_BRANCH }}" export new_branch="${{ needs.prepare_strategy.outputs.new_branch }}" @@ -333,6 +419,7 @@ jobs: export commit_short_sha="${commit_short_sha:0:7}" export extra_version_identifier="${{ needs.prepare_strategy.outputs.extra_version_identifier || github.run_number }}" export PUBLIC_REPO_URL="${{ env.PUBLIC_REPO_URL }}" + export chestnut_branch="${{ needs.prepare_chestnut.result == 'success' && format('{0}-chestnut', needs.prepare_strategy.outputs.new_branch) || '' }}" MESSAGE=$(cat << 'EOF' | envsubst ${{ vars.DISCOURSE_GENERAL_UPDATE_NOTICE }} @@ -373,7 +460,7 @@ jobs: owner: context.repo.owner, repo: context.repo.repo, issue_number: prNumber, - name: process.env.LABELf + name: process.env.LABEL }); console.log(`Removed '${process.env.LABEL}' label from PR #${prNumber}`); diff --git a/.github/workflows/ui_preview.yaml b/.github/workflows/ui_preview.yaml index 8b7b63f344..c6bc63c8ac 100644 --- a/.github/workflows/ui_preview.yaml +++ b/.github/workflows/ui_preview.yaml @@ -25,7 +25,8 @@ env: jobs: preview: - if: github.repository == 'sunnypilot/sunnypilot' + if: false # tmp disable due to GH API rate limiting flakiness + #if: github.repository == 'sunnypilot/sunnypilot' name: preview runs-on: ubuntu-latest timeout-minutes: 20 diff --git a/Jenkinsfile b/Jenkinsfile index db18d13ddd..af33edb821 100644 --- a/Jenkinsfile +++ b/Jenkinsfile @@ -22,6 +22,7 @@ shopt -s huponexit # kill all child processes when the shell exits export CI=1 export PYTHONWARNINGS=error +export COMMA_CACHE=/data/tmp/comma_download_cache #export LOGPRINT=debug # this has gotten too spammy... export TEST_DIR=${env.TEST_DIR} export SOURCE_DIR=${env.SOURCE_DIR} diff --git a/docs/CARS.md b/docs/CARS.md index 22c35b9a12..0866436c0d 100644 --- a/docs/CARS.md +++ b/docs/CARS.md @@ -4,7 +4,7 @@ A supported vehicle is one that just works when you install a comma device. All supported cars provide a better experience than any stock system. Supported vehicles reference the US market unless otherwise specified. -# 342 Supported Cars +# 345 Supported Cars |Make|Model|Supported Package|ACC|No ACC accel below|No ALC below|Steering Torque|Resume from stop|Hardware Needed
 |Video|Setup Video| |---|---|---|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:| @@ -34,6 +34,7 @@ A supported vehicle is one that just works when you install a comma device. All |Chrysler|Pacifica Hybrid 2019-25|Adaptive Cruise Control (ACC)|Stock|0 mph|39 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 FCA connector
- 1 OBD-C cable (2 ft)
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
||| |comma|body|All|openpilot|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|None||| |CUPRA[12](#footnotes)|Ateca 2018-23|Adaptive Cruise Control (ACC) & Lane Assist|openpilot available[1,16](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 VW J533 connector
- 1 comma four
- 1 harness box
- 1 long OBD-C cable (9.5 ft)
- 1 mount
Buy Here
||| +|CUPRA[12](#footnotes)|Born 2021-23|Adaptive Cruise Control (ACC) & Lane Assist|openpilot[16](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 VW J533 connector
- 1 comma four
- 1 harness box
- 1 long OBD-C cable (9.5 ft)
- 1 mount
Buy Here
||| |Dodge|Durango 2020-21|Adaptive Cruise Control (ACC)|Stock|0 mph|39 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 FCA connector
- 1 OBD-C cable (2 ft)
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
||| |Ford|Bronco Sport 2021-24|Co-Pilot360 Assist+|openpilot|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 Ford Q3 connector
- 1 OBD-C cable (2 ft)
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
||| |Ford|Escape 2020-22|Co-Pilot360 Assist+|openpilot|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 Ford Q3 connector
- 1 OBD-C cable (2 ft)
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
||| @@ -82,7 +83,7 @@ A supported vehicle is one that just works when you install a comma device. All |Honda|City (Brazil only) 2023-25|All|openpilot available[1,5](#footnotes)|0 mph|14 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 Honda Bosch B connector
- 1 OBD-C cable (2 ft)
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
||| |Honda|Civic 2016-18|Honda Sensing|openpilot|0 mph|12 mph|[![star](assets/icon-star-empty.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 Honda Nidec connector
- 1 OBD-C cable (2 ft)
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
||| |Honda|Civic 2019-21|All|openpilot available[1,5](#footnotes)|0 mph|2 mph[4](#footnotes)|[![star](assets/icon-star-empty.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 Honda Bosch A connector
- 1 OBD-C cable (2 ft)
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
||| -|Honda|Civic 2022-24|All|openpilot available[1,5](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 Honda Bosch B connector
- 1 OBD-C cable (2 ft)
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
||| +|Honda|Civic 2022-26|All|openpilot available[1,5](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 Honda Bosch B connector
- 1 OBD-C cable (2 ft)
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
||| |Honda|Civic Hatchback 2017-18|Honda Sensing|openpilot available[1,5](#footnotes)|0 mph|12 mph|[![star](assets/icon-star-empty.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 Honda Bosch A connector
- 1 OBD-C cable (2 ft)
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
||| |Honda|Civic Hatchback 2019-21|All|openpilot available[1,5](#footnotes)|0 mph|12 mph|[![star](assets/icon-star-empty.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 Honda Bosch A connector
- 1 OBD-C cable (2 ft)
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
||| |Honda|Civic Hatchback 2022-24|All|openpilot available[1,5](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 Honda Bosch B connector
- 1 OBD-C cable (2 ft)
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
||| @@ -158,7 +159,7 @@ A supported vehicle is one that just works when you install a comma device. All |Hyundai|Tucson Plug-in Hybrid 2024|All|openpilot available[1](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 Hyundai N connector
- 1 OBD-C cable (2 ft)
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
||| |Hyundai|Veloster 2019-20|Smart Cruise Control (SCC)|Stock|5 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|
Parts- 1 Hyundai E connector
- 1 OBD-C cable (2 ft)
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
||| |Jeep|Grand Cherokee 2016-18|Adaptive Cruise Control (ACC)|Stock|0 mph|9 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 FCA connector
- 1 OBD-C cable (2 ft)
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
||| -|Jeep|Grand Cherokee 2019-21|Adaptive Cruise Control (ACC)|Stock|0 mph|39 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 FCA connector
- 1 OBD-C cable (2 ft)
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
||| +|Jeep|Grand Cherokee 2019-21|Adaptive Cruise Control (ACC)|Stock|0 mph|39 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 FCA connector
- 1 OBD-C cable (2 ft)
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
||| |Kia|Carnival 2022-24|Smart Cruise Control (SCC)|openpilot available[1](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 Hyundai A connector
- 1 OBD-C cable (2 ft)
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
||| |Kia|Carnival (China only) 2023|Smart Cruise Control (SCC)|openpilot available[1](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 Hyundai K connector
- 1 OBD-C cable (2 ft)
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
||| |Kia|Ceed 2019-21|Smart Cruise Control (SCC)|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 Hyundai E connector
- 1 OBD-C cable (2 ft)
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
||| @@ -242,20 +243,20 @@ A supported vehicle is one that just works when you install a comma device. All |Rivian|R1T 2025|All|openpilot|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Rivian B connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 long OBD-C cable (9.5 ft)
- 1 mount
Buy Here
||| |SEAT[12](#footnotes)|Ateca 2016-23|Adaptive Cruise Control (ACC) & Lane Assist|openpilot available[1,16](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 VW J533 connector
- 1 comma four
- 1 harness box
- 1 long OBD-C cable (9.5 ft)
- 1 mount
Buy Here
||| |SEAT[12](#footnotes)|Leon 2014-20|Adaptive Cruise Control (ACC) & Lane Assist|openpilot available[1,16](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 VW J533 connector
- 1 comma four
- 1 harness box
- 1 long OBD-C cable (9.5 ft)
- 1 mount
Buy Here
||| -|Subaru|Ascent 2019-21|All[7](#footnotes)|openpilot available[1,8](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru A connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| -|Subaru|Crosstrek 2018-19|EyeSight Driver Assistance[7](#footnotes)|openpilot available[1,8](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-empty.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru A connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| -|Subaru|Crosstrek 2020-23|EyeSight Driver Assistance[7](#footnotes)|openpilot available[1,8](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru A connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| +|Subaru|Ascent 2019-21|All[7](#footnotes)|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru A connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| +|Subaru|Crosstrek 2018-19|EyeSight Driver Assistance[7](#footnotes)|Stock|0 mph|0 mph|[![star](assets/icon-star-empty.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru A connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| +|Subaru|Crosstrek 2020-23|EyeSight Driver Assistance[7](#footnotes)|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru A connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| |Subaru|Forester 2017-18|EyeSight Driver Assistance[7](#footnotes)|Stock|0 mph|0 mph|[![star](assets/icon-star-empty.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru A connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| -|Subaru|Forester 2019-21|All[7](#footnotes)|openpilot available[1,8](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru A connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| -|Subaru|Impreza 2017-19|EyeSight Driver Assistance[7](#footnotes)|openpilot available[1,8](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-empty.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru A connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| -|Subaru|Impreza 2020-22|EyeSight Driver Assistance[7](#footnotes)|openpilot available[1,8](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru A connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| +|Subaru|Forester 2019-21|All[7](#footnotes)|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru A connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| +|Subaru|Impreza 2017-19|EyeSight Driver Assistance[7](#footnotes)|Stock|0 mph|0 mph|[![star](assets/icon-star-empty.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru A connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| +|Subaru|Impreza 2020-22|EyeSight Driver Assistance[7](#footnotes)|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru A connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| |Subaru|Legacy 2015-18|EyeSight Driver Assistance[7](#footnotes)|Stock|0 mph|0 mph|[![star](assets/icon-star-empty.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru A connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| |Subaru|Legacy 2020-22|All[7](#footnotes)|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru B connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| |Subaru|Outback 2015-17|EyeSight Driver Assistance[7](#footnotes)|Stock|0 mph|0 mph|[![star](assets/icon-star-empty.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru A connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| |Subaru|Outback 2018-19|EyeSight Driver Assistance[7](#footnotes)|Stock|0 mph|0 mph|[![star](assets/icon-star-empty.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru A connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| |Subaru|Outback 2020-22|All[7](#footnotes)|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru B connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| -|Subaru|XV 2018-19|EyeSight Driver Assistance[7](#footnotes)|openpilot available[1,8](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-empty.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru A connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| -|Subaru|XV 2020-21|EyeSight Driver Assistance[7](#footnotes)|openpilot available[1,8](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru A connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| +|Subaru|XV 2018-19|EyeSight Driver Assistance[7](#footnotes)|Stock|0 mph|0 mph|[![star](assets/icon-star-empty.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru A connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| +|Subaru|XV 2020-21|EyeSight Driver Assistance[7](#footnotes)|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 Subaru A connector
- 1 comma four
- 1 comma power v3
- 1 harness box
- 1 mount
Buy Here
Tools- 1 Pry Tool
- 1 Socket Wrench 8mm or 5/16" (deep)
||| |Škoda|Fabia 2022-23[15](#footnotes)|Adaptive Cruise Control (ACC) & Lane Assist|openpilot available[1,16](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 VW J533 connector
- 1 comma four
- 1 harness box
- 1 long OBD-C cable (9.5 ft)
- 1 mount
Buy Here
[17](#footnotes)||| |Škoda|Kamiq 2021-23[13,15](#footnotes)|Adaptive Cruise Control (ACC) & Lane Assist|openpilot available[1,16](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 VW J533 connector
- 1 comma four
- 1 harness box
- 1 long OBD-C cable (9.5 ft)
- 1 mount
Buy Here
[17](#footnotes)||| |Škoda[12](#footnotes)|Karoq 2019-23[15](#footnotes)|Adaptive Cruise Control (ACC) & Lane Assist|openpilot available[1,16](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 VW J533 connector
- 1 comma four
- 1 harness box
- 1 long OBD-C cable (9.5 ft)
- 1 mount
Buy Here
||| @@ -334,6 +335,8 @@ A supported vehicle is one that just works when you install a comma device. All |Volkswagen[12](#footnotes)|Golf R 2015-19|Adaptive Cruise Control (ACC) & Lane Assist|openpilot available[1,16](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 VW J533 connector
- 1 comma four
- 1 harness box
- 1 long OBD-C cable (9.5 ft)
- 1 mount
Buy Here
||| |Volkswagen[12](#footnotes)|Golf SportsVan 2015-20|Adaptive Cruise Control (ACC) & Lane Assist|openpilot available[1,16](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 VW J533 connector
- 1 comma four
- 1 harness box
- 1 long OBD-C cable (9.5 ft)
- 1 mount
Buy Here
||| |Volkswagen[12](#footnotes)|Grand California 2019-24|Adaptive Cruise Control (ACC) & Lane Assist|openpilot available[1,16](#footnotes)|0 mph|31 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 VW J533 connector
- 1 comma four
- 1 harness box
- 1 long OBD-C cable (9.5 ft)
- 1 mount
Buy Here
||| +|Volkswagen[12](#footnotes)|ID.4 2021-23|Adaptive Cruise Control (ACC) & Lane Assist|openpilot[16](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 VW J533 connector
- 1 comma four
- 1 harness box
- 1 long OBD-C cable (9.5 ft)
- 1 mount
Buy Here
||| +|Volkswagen[12](#footnotes)|ID.4 2024-25|Adaptive Cruise Control (ACC) & Lane Assist|openpilot[16](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 VW J533 connector
- 1 comma four
- 1 harness box
- 1 long OBD-C cable (9.5 ft)
- 1 mount
Buy Here
||| |Volkswagen[12](#footnotes)|Jetta 2019-23|Adaptive Cruise Control (ACC) & Lane Assist|openpilot available[1,16](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 VW J533 connector
- 1 comma four
- 1 harness box
- 1 long OBD-C cable (9.5 ft)
- 1 mount
Buy Here
||| |Volkswagen[12](#footnotes)|Jetta GLI 2021-23|Adaptive Cruise Control (ACC) & Lane Assist|openpilot available[1,16](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 VW J533 connector
- 1 comma four
- 1 harness box
- 1 long OBD-C cable (9.5 ft)
- 1 mount
Buy Here
||| |Volkswagen|Passat 2015-22[14](#footnotes)|Adaptive Cruise Control (ACC) & Lane Assist|openpilot available[1,16](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|
Parts- 1 OBD-C cable (2 ft)
- 1 VW J533 connector
- 1 comma four
- 1 harness box
- 1 long OBD-C cable (9.5 ft)
- 1 mount
Buy Here
||| diff --git a/opendbc_repo b/opendbc_repo index 964521462a..a6351725bf 160000 --- a/opendbc_repo +++ b/opendbc_repo @@ -1 +1 @@ -Subproject commit 964521462a0431dd788167f3b7c36f13592486cb +Subproject commit a6351725bffcebc483765e977920314f57236ecc diff --git a/openpilot/common/hardware/base.h b/openpilot/common/hardware/base.h index f4546adfa8..53db48ff5b 100644 --- a/openpilot/common/hardware/base.h +++ b/openpilot/common/hardware/base.h @@ -15,7 +15,7 @@ public: static std::string get_serial() { return "cccccc"; } - static std::map get_init_logs() { + static std::map get_init_logs(bool route_log = false) { return {}; } diff --git a/openpilot/common/hardware/comma/hardware.h b/openpilot/common/hardware/comma/hardware.h index 6292183d9d..7bb9074f6b 100644 --- a/openpilot/common/hardware/comma/hardware.h +++ b/openpilot/common/hardware/comma/hardware.h @@ -59,7 +59,7 @@ public: std::ofstream("/sys/class/leds/led:switch_2/brightness") << value << "\n"; } - static std::map get_init_logs() { + static std::map get_init_logs(bool route_log = false) { std::map ret = { {"/BUILD", util::read_file("/BUILD")}, {"lsblk", util::check_output("lsblk -o NAME,SIZE,STATE,VENDOR,MODEL,REV,SERIAL")}, @@ -73,12 +73,14 @@ public: temp.erase(temp.find_last_not_of(std::string("\0\r\n", 3))+1); ret["boot temp"] = temp; - // TODO: log something from system and boot - for (std::string part : {"xbl", "abl", "aop", "devcfg", "xbl_config"}) { - for (std::string slot : {"a", "b"}) { - std::string partition = part + "_" + slot; - std::string hash = util::check_output("sha256sum /dev/disk/by-partlabel/" + partition); - ret[partition] = hash.substr(0, hash.find_first_of(" ")); + // TODO: these are too slow to do on route log inits. need to do it async? + if (!route_log) { + for (std::string part : {"xbl", "abl", "aop", "devcfg", "xbl_config"}) { + for (std::string slot : {"a", "b"}) { + std::string partition = part + "_" + slot; + std::string hash = util::check_output("sha256sum /dev/disk/by-partlabel/" + partition); + ret[partition] = hash.substr(0, hash.find_first_of(" ")); + } } } diff --git a/openpilot/common/params_keys.h b/openpilot/common/params_keys.h index bb7989381b..be4a4dc4a2 100644 --- a/openpilot/common/params_keys.h +++ b/openpilot/common/params_keys.h @@ -91,10 +91,10 @@ inline static std::unordered_map keys = { {"ObdMultiplexingChanged", {CLEAR_ON_MANAGER_START | CLEAR_ON_ONROAD_TRANSITION, BOOL}}, {"ObdMultiplexingEnabled", {CLEAR_ON_MANAGER_START | CLEAR_ON_ONROAD_TRANSITION, BOOL}}, {"Offroad_CarUnrecognized", {CLEAR_ON_MANAGER_START | CLEAR_ON_ONROAD_TRANSITION, JSON}}, + {"Offroad_ChestnutBranch", {CLEAR_ON_MANAGER_START, JSON}}, {"Offroad_ConnectivityNeeded", {CLEAR_ON_MANAGER_START, JSON}}, {"Offroad_ConnectivityNeededPrompt", {CLEAR_ON_MANAGER_START, JSON}}, {"Offroad_ExcessiveActuation", {PERSISTENT, JSON}}, - {"Offroad_NeosUpdate", {CLEAR_ON_MANAGER_START, JSON}}, {"Offroad_NoFirmware", {CLEAR_ON_MANAGER_START | CLEAR_ON_ONROAD_TRANSITION, JSON}}, {"Offroad_Recalibration", {CLEAR_ON_MANAGER_START | CLEAR_ON_ONROAD_TRANSITION, JSON}}, {"Offroad_TemperatureTooHigh", {CLEAR_ON_MANAGER_START, JSON}}, @@ -195,11 +195,14 @@ inline static std::unordered_map keys = { // Model Manager params {"ModelManager_ActiveBundle", {PERSISTENT, JSON}}, + {"ModelManager_ActiveJson", {CLEAR_ON_MANAGER_START, STRING}}, {"ModelManager_ClearCache", {CLEAR_ON_MANAGER_START, BOOL}}, {"ModelManager_DownloadIndex", {CLEAR_ON_MANAGER_START | CLEAR_ON_ONROAD_TRANSITION, INT}}, {"ModelManager_Favs", {PERSISTENT | BACKUP, STRING}}, {"ModelManager_LastSyncTime", {CLEAR_ON_MANAGER_START | CLEAR_ON_OFFROAD_TRANSITION, INT, "0"}}, + {"ModelManager_LastSyncTime_USBGPU", {CLEAR_ON_MANAGER_START | CLEAR_ON_OFFROAD_TRANSITION, INT, "0"}}, {"ModelManager_ModelsCache", {PERSISTENT | BACKUP, JSON}}, + {"ModelManager_ModelsCache_USBGPU", {PERSISTENT | BACKUP, JSON}}, // Neural Network Lateral Control {"NeuralNetworkLateralControl", {PERSISTENT | BACKUP, BOOL, "0"}}, diff --git a/openpilot/common/version.py b/openpilot/common/version.py index f1514aa3cd..0456782c05 100755 --- a/openpilot/common/version.py +++ b/openpilot/common/version.py @@ -16,6 +16,15 @@ MASTER_SP_BRANCHES = ['master'] RELEASE_BRANCHES = ['release-tizi-staging', 'release-mici-staging', 'release-tizi', 'release-mici', 'nightly'] TESTED_BRANCHES = RELEASE_BRANCHES + ['devel-staging', 'nightly-dev'] + RELEASE_SP_BRANCHES + TESTED_SP_BRANCHES +CHESTNUT_BRANCHES = { + "staging": "staging-chestnut", + "dev": "dev-chestnut", + "release-mici": "release-chestnut", + "release-tizi": "release-chestnut", + "release-mici-staging": "release-chestnut-staging", + "release-tizi-staging": "release-chestnut-staging", +} + SP_BRANCH_MIGRATIONS = { ("tici", "staging-c3-new"): "staging-tici", ("tici", "dev-c3-new"): "staging-tici", diff --git a/openpilot/selfdrive/assets/icons_mici/settings/software.png b/openpilot/selfdrive/assets/icons_mici/settings/software.png index 5cf528cbdd..15baccd725 100644 --- a/openpilot/selfdrive/assets/icons_mici/settings/software.png +++ b/openpilot/selfdrive/assets/icons_mici/settings/software.png @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:c4c38772e6080aa4b8bf5212d3619e949775468c64f3edb88a1a426d767c38d2 -size 1579 +oid sha256:190e196eba6feffec125ac66cf7e77620b759e346fa69b80e3a3884a5694cb15 +size 3225 diff --git a/openpilot/selfdrive/controls/lib/longcontrol.py b/openpilot/selfdrive/controls/lib/longcontrol.py index e3b612e79f..3a20601c48 100644 --- a/openpilot/selfdrive/controls/lib/longcontrol.py +++ b/openpilot/selfdrive/controls/lib/longcontrol.py @@ -44,8 +44,7 @@ class LongControl: self.CP = CP self.CP_SP = CP_SP self.long_control_state = LongCtrlState.off - self.pid = PIDController((CP.longitudinalTuning.kpBP, CP.longitudinalTuning.kpV), - (CP.longitudinalTuning.kiBP, CP.longitudinalTuning.kiV), + self.pid = PIDController(0.0, (CP.longitudinalTuning.kiBP, CP.longitudinalTuning.kiV), rate=1 / DT_CTRL) self.last_output_accel = 0.0 diff --git a/openpilot/selfdrive/controls/lib/longitudinal_mpc_lib/SConscript b/openpilot/selfdrive/controls/lib/longitudinal_mpc_lib/SConscript index 636ef0fb21..fa249765bc 100644 --- a/openpilot/selfdrive/controls/lib/longitudinal_mpc_lib/SConscript +++ b/openpilot/selfdrive/controls/lib/longitudinal_mpc_lib/SConscript @@ -35,6 +35,7 @@ build_files = [f'{gen}/acados_solver_long.c'] + casadi_model + casadi_cost_y + c # extra generated files used to trigger a rebuild generated_files = [ + 'acados_ocp_long.json', f'{gen}/Makefile', f'{gen}/main_long.c', diff --git a/openpilot/selfdrive/controls/lib/longitudinal_planner.py b/openpilot/selfdrive/controls/lib/longitudinal_planner.py index 12b4f9da61..bf91c5e1f9 100755 --- a/openpilot/selfdrive/controls/lib/longitudinal_planner.py +++ b/openpilot/selfdrive/controls/lib/longitudinal_planner.py @@ -49,9 +49,8 @@ def get_cruise_accel(e2e, v_cruise, v_ego, a_cruise_prev, angle_steers, CP, dt, max_accel = min(max_accel, coast_limit) target_accel = np.clip(v_cruise - v_ego, A_CRUISE_MIN, max_accel) - if not e2e: - j_cruise = np.interp(v_ego, A_CRUISE_MAX_BP, J_CRUISE_VALS) - target_accel = float(np.clip(target_accel, a_cruise_prev - j_cruise * dt, a_cruise_prev + j_cruise * dt)) + j_cruise = np.interp(v_ego, A_CRUISE_MAX_BP, J_CRUISE_VALS) + target_accel = float(np.clip(target_accel, a_cruise_prev - j_cruise * dt, a_cruise_prev + j_cruise * dt)) return target_accel @@ -65,10 +64,9 @@ class LongitudinalPlanner(LongitudinalPlannerSP): self.dt = dt self.allow_throttle = True - self.a_desired = init_a self.v_desired_filter = FirstOrderFilter(init_v, 2.0, self.dt) - self.a_cruise = 0.0 - self.output_a_target = 0.0 + self.a_cruise = init_a + self.output_a_target = init_a self.output_should_stop = False self.v_desired_trajectory = np.zeros(CONTROL_N) @@ -105,7 +103,8 @@ class LongitudinalPlanner(LongitudinalPlannerSP): if reset_state: self.v_desired_filter.x = v_ego - self.a_desired = np.clip(sm['carState'].aEgo, ACCEL_MIN, ACCEL_MAX) + self.output_a_target = np.clip(sm['carState'].aEgo, ACCEL_MIN, ACCEL_MAX) + self.a_cruise = self.output_a_target # Prevent divergence, smooth in current v_ego self.v_desired_filter.x = max(0.0, self.v_desired_filter.update(v_ego)) @@ -113,11 +112,11 @@ class LongitudinalPlanner(LongitudinalPlannerSP): # No change cost when user is controlling the speed, or when standstill prev_accel_constraint = not (reset_state or sm['carState'].standstill) - # Get new v_cruise and a_desired from Smart Cruise Control and Speed Limit Assist - v_cruise, self.a_desired = LongitudinalPlannerSP.update_targets(self, sm, self.v_desired_filter.x, self.a_desired, v_cruise) + # Get new v_cruise and a_target from Smart Cruise Control and Speed Limit Assist + v_cruise, self.output_a_target = LongitudinalPlannerSP.update_targets(self, sm, self.v_desired_filter.x, self.output_a_target, v_cruise) self.mpc.set_weights(prev_accel_constraint, personality=sm['selfdriveState'].personality) - self.mpc.set_cur_state(self.v_desired_filter.x, self.a_desired) + self.mpc.set_cur_state(self.v_desired_filter.x, self.output_a_target) self.mpc.update(sm['radarState'], personality=sm['selfdriveState'].personality) self.v_desired_trajectory = np.interp(CONTROL_N_T_IDX, T_IDXS_MPC, self.mpc.v_solution) @@ -130,7 +129,7 @@ class LongitudinalPlanner(LongitudinalPlannerSP): cloudlog.info("FCW triggered") # Save starting point for next iteration - a_prev = self.a_desired + a_prev = self.output_a_target action_t = self.CP.longitudinalActuatorDelay + DT_MDL output_a_target_mpc = get_accel_from_plan(self.v_desired_trajectory, self.a_desired_trajectory, CONTROL_N_T_IDX, @@ -139,30 +138,22 @@ class LongitudinalPlanner(LongitudinalPlannerSP): output_a_target_e2e = sm['modelV2'].action.desiredAcceleration output_should_stop_e2e = sm['modelV2'].action.shouldStop - if self.is_e2e(sm): - output_a_target = min(output_a_target_e2e, output_a_target_mpc) - self.output_should_stop = output_should_stop_e2e or output_should_stop_mpc - if output_a_target < output_a_target_mpc: - self.mpc.source = LongitudinalPlanSource.e2e - else: - output_a_target = output_a_target_mpc - self.output_should_stop = output_should_stop_mpc + is_e2e = self.is_e2e(sm) - self.a_cruise = get_cruise_accel(sm['selfdriveState'].experimentalMode, v_cruise, v_ego, + self.a_cruise = get_cruise_accel(is_e2e, v_cruise, v_ego, self.a_cruise, steer_angle_without_offset, self.CP, self.dt, accel_coast, self.allow_throttle) cruise_should_stop = should_stop(v_ego, self.a_cruise) candidates = [(output_a_target_mpc, self.mpc.source, output_should_stop_mpc), (self.a_cruise, LongitudinalPlanSource.cruise, cruise_should_stop)] - if sm['selfdriveState'].experimentalMode: + if is_e2e: candidates.append((output_a_target_e2e, LongitudinalPlanSource.e2e, output_should_stop_e2e)) output_a_target, self.mpc.source, _ = min(candidates, key=lambda c: c[0]) self.output_should_stop = any(should_stop for _, _, should_stop in candidates) self.output_a_target = np.clip(output_a_target, ACCEL_MIN, ACCEL_MAX) - self.a_desired = float(self.output_a_target) self.v_desired_filter.x = self.v_desired_filter.x + self.dt * (self.output_a_target + a_prev) / 2.0 def publish(self, sm, pm): diff --git a/openpilot/selfdrive/modeld/SConscript b/openpilot/selfdrive/modeld/SConscript index 30b008078e..30a31aae27 100644 --- a/openpilot/selfdrive/modeld/SConscript +++ b/openpilot/selfdrive/modeld/SConscript @@ -79,7 +79,9 @@ for usbgpu in [False, True] if USBGPU else [False]: file_prefix, cmd_flags = ('big_', usbgpu_tg_flags) if usbgpu else ('big_' if os.getenv('BIG_INTO_SMALL') else '', tg_flags) driving_onnx_deps = get_existing_chunks(File(f"models/{file_prefix}driving_supercombo.onnx").abspath) camera_res_args = ' '.join(f'{cw}x{ch}' for cw, ch in CAMERA_CONFIGS) - cmd = (f'{cmd_flags} {mac_brew_string} python3 {modeld_dir}/compile_modeld.py ' + # CPU 7 is isolated with isolcpus on AGNOS, so explicitly pin the compiler to it. + taskset = 'taskset -c 7 ' if arch == 'comma_arm64' else '' + cmd = (f'{cmd_flags} {mac_brew_string} {taskset}python3 {modeld_dir}/compile_modeld.py ' f'--model-size {model_w}x{model_h} ' f'--camera-resolutions {camera_res_args} ' f'--onnx {File(f"models/{file_prefix}driving_supercombo.onnx").abspath} ' diff --git a/openpilot/selfdrive/modeld/models/big_driving_supercombo.onnx b/openpilot/selfdrive/modeld/models/big_driving_supercombo.onnx index a74573ca29..4a04bd7833 100644 --- a/openpilot/selfdrive/modeld/models/big_driving_supercombo.onnx +++ b/openpilot/selfdrive/modeld/models/big_driving_supercombo.onnx @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:10926f2c0911821ca0e72439c1c3bf3ec11f0a08789aa14b7ee8f25379b2afa4 -size 1753235978 +oid sha256:a501760a9d1d5fef0eab2b8c5d122d06124fc26dc8e0782e0aa94b82a208f0ff +size 1757355221 diff --git a/openpilot/selfdrive/pandad/tests/test_pandad_spi.py b/openpilot/selfdrive/pandad/tests/test_pandad_spi.py index ba2e31ce82..8ca39445a2 100755 --- a/openpilot/selfdrive/pandad/tests/test_pandad_spi.py +++ b/openpilot/selfdrive/pandad/tests/test_pandad_spi.py @@ -102,7 +102,6 @@ class TestBoarddSpi(OpenpilotTestCase): edt = 1e3 / SERVICE_LIST[service].frequency assert edt*0.9 < np.mean(dts) < edt*1.1 assert np.max(dts) < edt*8 - assert np.min(dts) < edt assert len(dts) >= ((et-0.5)*SERVICE_LIST[service].frequency*0.8) with subtests.test(msg="CAN traffic"): diff --git a/openpilot/selfdrive/selfdrived/alerts_offroad.json b/openpilot/selfdrive/selfdrived/alerts_offroad.json index 8a77bd29a4..91a7ec8ab3 100644 --- a/openpilot/selfdrive/selfdrived/alerts_offroad.json +++ b/openpilot/selfdrive/selfdrived/alerts_offroad.json @@ -17,8 +17,8 @@ "severity": 1, "_comment": "Set extra field to the failed reason." }, - "Offroad_NeosUpdate": { - "text": "An update to your device's operating system is downloading in the background. You will be prompted to update when it's ready to install.", + "Offroad_ChestnutBranch": { + "text": "Chestnut detected! Switch to the %1 branch to use chestnut-class models.", "severity": 0 }, "Offroad_UnregisteredHardware": { diff --git a/openpilot/selfdrive/selfdrived/events.py b/openpilot/selfdrive/selfdrived/events.py index 139f416e72..8a8271b123 100755 --- a/openpilot/selfdrive/selfdrived/events.py +++ b/openpilot/selfdrive/selfdrived/events.py @@ -234,7 +234,8 @@ EVENTS: dict[int, dict[str, Alert | AlertCallbackType]] = { }, EventName.bigModelFailed: { - ET.PERMANENT: NormalPermanentAlert("Big Model Failed ", "Restart the car to retry,\nnow driving on small model", duration=20.), + ET.SOFT_DISABLE: soft_disable_alert("Big Model Failed"), + ET.PERMANENT: NormalPermanentAlert("Big Model Failed ", "Restart the car to retry,\nsmall model is still available", duration=20.), }, EventName.lateralManeuver: { diff --git a/openpilot/selfdrive/selfdrived/selfdrived.py b/openpilot/selfdrive/selfdrived/selfdrived.py index 672fee9b48..d1bc57c856 100755 --- a/openpilot/selfdrive/selfdrived/selfdrived.py +++ b/openpilot/selfdrive/selfdrived/selfdrived.py @@ -337,7 +337,7 @@ class SelfdriveD(CruiseHelper): device_motion = Pose.from_device_motion(self.sm['deviceMotion']) self.calibrated_pose = self.pose_calibrator.build_calibrated_pose(device_motion) - if self.calibrated_pose is not None: + if self.calibrated_pose is not None and not self.CP.notCar: excessive_actuation = self.excessive_actuation_check.update(self.sm, CS, self.calibrated_pose) if not self.excessive_actuation and excessive_actuation is not None: set_offroad_alert("Offroad_ExcessiveActuation", True, extra_text=str(excessive_actuation)) @@ -397,6 +397,9 @@ class SelfdriveD(CruiseHelper): # All events here should at least have NO_ENTRY and SOFT_DISABLE. num_events = len(self.events) + if self.big_model_active and big_failed: + self.events.add(EventName.bigModelFailed) + not_running = {p.name for p in self.sm['managerState'].processes if not p.running and p.shouldBeRunning} if self.sm.recv_frame['managerState'] and len(not_running): if not_running != self.not_running_prev: diff --git a/openpilot/selfdrive/test/process_replay/test_processes.py b/openpilot/selfdrive/test/process_replay/test_processes.py index 1627ab0658..5b72f7b712 100755 --- a/openpilot/selfdrive/test/process_replay/test_processes.py +++ b/openpilot/selfdrive/test/process_replay/test_processes.py @@ -7,7 +7,7 @@ import traceback from collections import defaultdict from tqdm import tqdm from typing import Any -from opendbc.car.car_helpers import interface_names +from opendbc.car.car_helpers import interface_names, interfaces from openpilot.common.git import get_commit from openpilot.tools.lib.openpilotci import get_url from openpilot.selfdrive.test.process_replay.compare_logs import compare_logs, format_diff @@ -64,7 +64,8 @@ segments = [ ] # dashcamOnly makes don't need to be tested until a full port is done -excluded_interfaces = ["mock", "body", "psa"] +excluded_interfaces = {brand for brand, platforms in interface_names.items() + if all(interfaces[platform].get_non_essential_params(platform).dashcamOnly for platform in platforms)} | {"body"} BASE_URL = "https://raw.githubusercontent.com/sunnypilot/ci-artifacts/refs/heads/process-replay/" REF_COMMIT_FN = os.path.join(PROC_REPLAY_DIR, "ref_commit") diff --git a/openpilot/selfdrive/test/test_onroad.py b/openpilot/selfdrive/test/test_onroad.py index 6768dc1d98..f524046abe 100755 --- a/openpilot/selfdrive/test/test_onroad.py +++ b/openpilot/selfdrive/test/test_onroad.py @@ -67,7 +67,7 @@ PROCS = { "openpilot.selfdrive.pandad.pandad": 0, "openpilot.system.loggerd.uploader": 15.0, "openpilot.system.loggerd.deleter": 1.0, - "./pandad": 19.0, + "./pandad": 40.0, "openpilot.system.qcomgpsd.qcomgpsd": 1.0, "openpilot.common.hardware.comma.modem": 10.0, } @@ -107,6 +107,10 @@ def cputime_total(ct): class TestOnroad(OpenpilotTestCase): COMMA_HARDWARE_TEST = True + def setUp(self): + # Hardware setup is handled once for the full onroad test in setup_class. + unittest.TestCase.setUp(self) + @classmethod def setup_class(cls): if "DEBUG" in os.environ: @@ -332,26 +336,34 @@ class TestOnroad(OpenpilotTestCase): assert np.all(eof_sof_diff < 50*1e6) first_fid = {min(self.ts[c]['frameId']) for c in cams} - assert len(first_fid) == 1, "Cameras don't start on same frame ID" - if cam.endswith('CameraState'): + if cams[0].endswith('CameraState'): # camerad guarantees that all cams start on frame ID 0 # (note loggerd also needs to start up fast enough to catch it) - assert next(iter(first_fid)) < 100, "Cameras start on frame ID too high" + assert min(first_fid) < 100, "Cameras start on frame ID too high" + else: + # encoderd synchronizes all camera encoders to the same starting frame + assert len(first_fid) == 1, "Camera encoders don't start on same frame ID" # we don't do a full segment rotation, so these might not match exactly last_fid = {max(self.ts[c]['frameId']) for c in cams} assert max(last_fid) - min(last_fid) < 10 - start, end = min(first_fid), min(last_fid) - for i in range(end-start): + timestamps = { + cam: dict(zip(self.ts[cam]['frameId'], self.ts[cam]['timestampSof'], strict=True)) + for cam in cams + } + common_frame_ids = set.intersection(*(set(ts) for ts in timestamps.values())) + assert common_frame_ids, "Cameras have no overlapping frame IDs" + + for frame_id in sorted(common_frame_ids): # road and wide cameras (first two) should be synced within 2ms - ts = {c: round(self.ts[c]['timestampSof'][i]/1e6, 1) for c in cams[:2]} - diff = (max(ts.values()) - min(ts.values())) - assert diff < 2, f"Cameras not synced properly: frame_id={start+i}, {diff=:.1f}ms, {ts=}" + ts = {cam: timestamps[cam][frame_id] / 1e6 for cam in cams[:2]} + diff = max(ts.values()) - min(ts.values()) + assert diff < 2, f"Cameras not synced properly: {frame_id=}, {diff=:.1f}ms, {ts=}" # cabin camera should be staggered ~25ms from road camera - offset_ms = abs(self.ts[cams[2]]['timestampSof'][i] - self.ts[cams[0]]['timestampSof'][i]) / 1e6 - assert 20 < offset_ms < 30, f"cabin camera stagger out of range at frame {start+i}: {offset_ms:.1f}ms" + offset_ms = abs(timestamps[cams[2]][frame_id] - timestamps[cams[0]][frame_id]) / 1e6 + assert 20 < offset_ms < 30, f"cabin camera stagger out of range at frame {frame_id}: {offset_ms:.1f}ms" def test_camera_encoder_matches(self, subtests): # sanity check that the frame metadata is consistent with the encoded frames diff --git a/openpilot/selfdrive/ui/mici/layouts/settings/software.py b/openpilot/selfdrive/ui/mici/layouts/settings/software.py index d71982ca26..35fc94142b 100644 --- a/openpilot/selfdrive/ui/mici/layouts/settings/software.py +++ b/openpilot/selfdrive/ui/mici/layouts/settings/software.py @@ -47,7 +47,7 @@ class SoftwareInfoLayoutMici(Widget): self._branch_label = UnifiedLabel("branch", 48, max_width=max_width, font_weight=FontWeight.DISPLAY, wrap_text=False) self._branch_text_label = UnifiedLabel("", 32, max_width=max_width, text_color=subheader_color, - font_weight=FontWeight.ROMAN, wrap_text=False) + font_weight=FontWeight.ROMAN, wrap_text=False, scroll=True) def _update_state(self): desc = _split_description(ui_state.params.get("UpdaterCurrentDescription") or "") diff --git a/openpilot/selfdrive/ui/mici/onroad/alert_renderer.py b/openpilot/selfdrive/ui/mici/onroad/alert_renderer.py index 4be32459d5..125524b95d 100644 --- a/openpilot/selfdrive/ui/mici/onroad/alert_renderer.py +++ b/openpilot/selfdrive/ui/mici/onroad/alert_renderer.py @@ -132,7 +132,7 @@ class AlertRenderer(Widget, SpeedLimitAlertRenderer): # 1. Never received selfdriveState since going onroad waiting_for_startup = recv_frame < ui_state.started_frame - if waiting_for_startup and time_since_onroad > 5: + if waiting_for_startup and time_since_onroad > 10: return ALERT_STARTUP_PENDING # 2. Lost communication with selfdriveState after receiving it diff --git a/openpilot/selfdrive/ui/mici/widgets/button.py b/openpilot/selfdrive/ui/mici/widgets/button.py index 0ecda6a0c5..cad40d7d01 100644 --- a/openpilot/selfdrive/ui/mici/widgets/button.py +++ b/openpilot/selfdrive/ui/mici/widgets/button.py @@ -150,8 +150,8 @@ class BigButton(Widget): super().set_touch_valid_callback(lambda: touch_callback() and self._grow_animation_until is None) def _width_hint(self) -> int: - # Single line if scrolling, so hide behind icon if exists - icon_size = self._txt_icon.width if self._txt_icon and self._scroll and self.value else 0 + # A value moves the title to the top, where it shares space with the icon. + icon_size = self._txt_icon.width if self._txt_icon and self.value else 0 return int(self._rect.width - self.LABEL_HORIZONTAL_PADDING * 2 - icon_size) def _get_label_font_size(self): diff --git a/openpilot/selfdrive/ui/onroad/alert_renderer.py b/openpilot/selfdrive/ui/onroad/alert_renderer.py index 64e9fefa9c..7a69679db3 100644 --- a/openpilot/selfdrive/ui/onroad/alert_renderer.py +++ b/openpilot/selfdrive/ui/onroad/alert_renderer.py @@ -92,7 +92,7 @@ class AlertRenderer(Widget): # 1. Never received selfdriveState since going onroad waiting_for_startup = recv_frame < ui_state.started_frame - if waiting_for_startup and time_since_onroad > 5: + if waiting_for_startup and time_since_onroad > 10: return ALERT_STARTUP_PENDING # 2. Lost communication with selfdriveState after receiving it diff --git a/openpilot/selfdrive/ui/onroad/model_renderer.py b/openpilot/selfdrive/ui/onroad/model_renderer.py index def1c644af..f5a39a2a5b 100644 --- a/openpilot/selfdrive/ui/onroad/model_renderer.py +++ b/openpilot/selfdrive/ui/onroad/model_renderer.py @@ -192,7 +192,7 @@ class ModelRenderer(Widget, ChevronMetrics, ModelRendererSP): max_idx = self._get_path_length_idx(path_x_array, max_distance) self._path.projected_points = self._map_line_to_polygon( - self._path.raw_points, 0.9, self._path_offset_z, max_idx, max_distance, allow_invert=False + self._path.raw_points, self._get_path_half_width(), self._path_offset_z, max_idx, max_distance, allow_invert=False ) self._update_experimental_gradient() @@ -292,7 +292,7 @@ class ModelRenderer(Widget, ChevronMetrics, ModelRendererSP): allow_throttle = sm['longitudinalPlan'].allowThrottle or not self._longitudinal_control self._blend_filter.update(int(allow_throttle)) - if ui_state.rainbow_path: + if ui_state.rainbow_path and self._lateral_active: self.rainbow_path.draw_rainbow_path(self._rect, self._path) return diff --git a/openpilot/selfdrive/ui/sunnypilot/layouts/settings/models.py b/openpilot/selfdrive/ui/sunnypilot/layouts/settings/models.py index ae4ff802f3..e083dfb079 100644 --- a/openpilot/selfdrive/ui/sunnypilot/layouts/settings/models.py +++ b/openpilot/selfdrive/ui/sunnypilot/layouts/settings/models.py @@ -10,7 +10,7 @@ import time import pyray as rl from openpilot.cereal import custom -from openpilot.sunnypilot.models.default_model import DEFAULT_MODEL +from openpilot.sunnypilot.models.default_model import get_default_model from openpilot.common.constants import CV from openpilot.selfdrive.ui.ui_state import device, ui_state from openpilot.system.ui.lib.multilang import tr @@ -22,9 +22,9 @@ from openpilot.system.ui.widgets.toggle import ON_COLOR from openpilot.sunnypilot.models.runners.constants import CUSTOM_MODEL_PATH from openpilot.system.ui.sunnypilot.lib.styles import style -from openpilot.system.ui.sunnypilot.lib.utils import NoElideButtonAction +from openpilot.system.ui.sunnypilot.lib.utils import NoElideButtonAction, ScrollingButtonAction from openpilot.system.ui.sunnypilot.widgets.list_view import ListItemSP, toggle_item_sp, option_item_sp -from openpilot.system.ui.sunnypilot.widgets.progress_bar import progress_item +from openpilot.system.ui.sunnypilot.widgets.download_status import download_status_item from openpilot.system.ui.sunnypilot.widgets.tree_dialog import TreeOptionDialog, TreeNode, TreeFolder if gui_app.sunnypilot_ui(): @@ -35,9 +35,8 @@ class ModelsLayout(Widget): def __init__(self): super().__init__() self.model_manager = None - self.download_status = None - self.prev_download_status = None self.model_dialog = None + self._downloading = False self.last_cache_calc_time = 0 self._initialize_items() @@ -52,15 +51,11 @@ class ModelsLayout(Widget): self.current_model_item = ListItemSP( title=tr("Current Model"), description="", - action_item=NoElideButtonAction(tr("SELECT")), + action_item=ScrollingButtonAction(tr("SELECT")), callback=self._handle_current_model_clicked ) - self.supercombo_label = progress_item(tr("Driving Model")) - self.vision_label = progress_item(tr("Vision Model")) - self.policy_label = progress_item(tr("Policy Model")) - self.off_policy_label = progress_item(tr("Off-Policy Model")) - self.on_policy_label = progress_item(tr("On-Policy Model")) + self.download_item = download_status_item(lambda: tr("Download") if self._downloading else tr("Model Status")) self.refresh_item = button_item(tr("Refresh Model List"), tr("REFRESH"), "", lambda: (ui_state.params.put("ModelManager_LastSyncTime", 0), @@ -98,8 +93,7 @@ class ModelsLayout(Widget): 1, None, True, "", style.BUTTON_ACTION_WIDTH, None, True, lambda v: f"{v / 100:.2f} m") - self.items = [self.current_model_item, self.cancel_download_item, self.supercombo_label, self.vision_label, - self.policy_label, self.off_policy_label, self.on_policy_label, self.refresh_item, self.clear_cache_item, + self.items = [self.current_model_item, self.cancel_download_item, self.download_item, self.refresh_item, self.clear_cache_item, self.lane_turn_desire_toggle, self.lane_turn_value_control, self.lagd_toggle, self.delay_control, self.camera_offset] def _update_lagd_description(self, lagd_toggle: bool): @@ -135,14 +129,9 @@ class ModelsLayout(Widget): gui_app.push_widget(dialog) def _handle_bundle_download_progress(self): - labels = {custom.ModelManagerSP.Model.Type.supercombo: self.supercombo_label, - custom.ModelManagerSP.Model.Type.vision: self.vision_label, - custom.ModelManagerSP.Model.Type.policy: self.policy_label, - custom.ModelManagerSP.Model.Type.offPolicy: self.off_policy_label, - custom.ModelManagerSP.Model.Type.onPolicy: self.on_policy_label} - for label in labels.values(): - label.set_visible(False) + self.download_item.set_visible(False) self.cancel_download_item.set_visible(False) + self._downloading = False if not self.model_manager or (not self.model_manager.selectedBundle and not self.model_manager.activeBundle): return @@ -153,32 +142,41 @@ class ModelsLayout(Widget): if not bundle: return - self.download_status = bundle.status - status_changed = self.prev_download_status != self.download_status - self.prev_download_status = self.download_status - self.cancel_download_item.set_visible(bool(self.model_manager.selectedBundle) and ui_state.params.get("ModelManager_DownloadIndex") is not None) if (current_time := time.monotonic()) - self.last_cache_calc_time > 0.5: self.last_cache_calc_time = current_time self.clear_cache_item.action_item.set_value(f"{self.calculate_cache_size():.2f} MB") - if self.download_status == custom.ModelManagerSP.DownloadStatus.downloading: + if bundle.status == custom.ModelManagerSP.DownloadStatus.downloading: device._reset_interactive_timeout() - for model in bundle.models: - if label := labels.get(getattr(model.type, 'raw', model.type)): - label.set_visible(True) - p = model.artifact.downloadProgress - text, show, color = f"pending - {bundle.displayName}", False, rl.GRAY - if p.status == custom.ModelManagerSP.DownloadStatus.downloading: - text, show = f"{int(p.progress)}% - {bundle.displayName}", True - elif p.status in (custom.ModelManagerSP.DownloadStatus.downloaded, custom.ModelManagerSP.DownloadStatus.cached): - status_text = tr("from cache" if p.status == custom.ModelManagerSP.DownloadStatus.cached else "downloaded") - text, color = f"{bundle.displayName} - {status_text if status_changed else tr('ready')}", ON_COLOR - elif p.status == custom.ModelManagerSP.DownloadStatus.failed: - text, color = f"download failed - {bundle.displayName}", rl.RED - label.action_item.update(p.progress, text, show, color) + # every bundle is a single chunked artifact now + progresses = [model.artifact.downloadProgress for model in bundle.models if model.artifact.fileName] + if not progresses: + return + + self.download_item.set_visible(True) + self.download_item.action_item.update(**self._download_row_state(progresses, bundle.internalName)) + self._downloading = self.download_item.action_item.downloading + + @staticmethod + def _download_row_state(progresses, name: str) -> dict: + """Maps a bundle's artifact progress to DownloadStatusAction.update kwargs.""" + # .raw: _DynamicEnum equals its int but does not hash like it + statuses = {getattr(p.status, 'raw', p.status) for p in progresses} + progress = sum(p.progress for p in progresses) / len(progresses) + ds = custom.ModelManagerSP.DownloadStatus + + if ds.failed in statuses: + # close.png is authored black and a tint cannot lift it, hence close2 + return {"name": name, "status_text": tr("download failed"), "text_color": rl.RED, "icon": "icons/close2.png"} + if ds.downloading in statuses: + return {"name": name, "downloading": True, "progress": progress} + if statuses <= {ds.downloaded, ds.cached}: + return {"name": name, "text_color": ON_COLOR, "icon": "icons/checkmark.png"} + # circled_slash is authored grey; tinting it again only darkens it + return {"name": name, "text_color": rl.GRAY, "icon": "icons/circled_slash.png", "icon_color": rl.WHITE} @staticmethod def _show_reset_params_dialog(): @@ -213,7 +211,8 @@ class ModelsLayout(Widget): for bundle in bundles: folders.setdefault(next((ov_ride.value for ov_ride in bundle.overrides if ov_ride.key == "folder"), ""), []).append(bundle) - folders_list = [TreeFolder("", [TreeNode("Default", {'display_name': f"{DEFAULT_MODEL} (Default)", 'short_name': "Default"})])] + folders_list = [TreeFolder("", [TreeNode("Default", {'display_name': f"{get_default_model()} (Default)", + 'short_name': "Default"})])] for folder, folder_bundles in sorted(folders.items(), key=lambda x: max((bundle.index for bundle in x[1]), default=-1), reverse=True): folder_bundles.sort(key=lambda bundle: bundle.index, reverse=True) name = folder + (f" - (Updated: {m.group(1)})" if folder_bundles and (m := re.search(r'\(([^)]*)\)[^(]*$', folder_bundles[0].displayName)) else "") @@ -251,7 +250,8 @@ class ModelsLayout(Widget): self._update_lagd_description(live_delay) self.model_manager = ui_state.sm["modelManagerSP"] self._handle_bundle_download_progress() - active_name = self.model_manager.activeBundle.internalName if self.model_manager and self.model_manager.activeBundle.ref else f"{DEFAULT_MODEL} (Default)" + default_label = f"{get_default_model()} (Default)" + active_name = self.model_manager.activeBundle.displayName if self.model_manager and self.model_manager.activeBundle.ref else default_label self.current_model_item.action_item.set_value(active_name) if not ui_state.is_offroad(): diff --git a/openpilot/selfdrive/ui/sunnypilot/mici/layouts/models.py b/openpilot/selfdrive/ui/sunnypilot/mici/layouts/models.py index af8f348f72..6eff456559 100644 --- a/openpilot/selfdrive/ui/sunnypilot/mici/layouts/models.py +++ b/openpilot/selfdrive/ui/sunnypilot/mici/layouts/models.py @@ -7,7 +7,7 @@ See the LICENSE.md file in the root directory for more details. import pyray as rl from openpilot.cereal import custom -from openpilot.sunnypilot.models.default_model import DEFAULT_MODEL +from openpilot.sunnypilot.models.default_model import get_default_model from openpilot.selfdrive.ui.mici.widgets.button import BigButton from openpilot.selfdrive.ui.sunnypilot.layouts.settings.models import ModelsLayout from openpilot.selfdrive.ui.ui_state import ui_state, device @@ -27,7 +27,7 @@ class CurrentModelInfo(Widget): subheader_color = rl.Color(255, 255, 255, int(255 * 0.9 * 0.65)) max_width = int(self._rect.width - 20) self.current_model_header = UnifiedLabel(tr("active model"), 48, max_width=max_width, text_color=header_color, font_weight=FontWeight.DISPLAY) - default_text = f"{DEFAULT_MODEL} (Default)".lower() + default_text = f"{get_default_model()} (Default)".lower() self.current_model_text = UnifiedLabel(default_text, 32, max_width=max_width, text_color=subheader_color, font_weight=FontWeight.ROMAN, scroll=True) self.info_header = UnifiedLabel("cache size", 48, max_width=max_width, text_color=header_color, font_weight=FontWeight.DISPLAY) @@ -95,7 +95,7 @@ class ModelsLayoutMici(NavScroller): folders = self._get_grouped_bundles(favorites) folder_buttons = [] - default_btn = BigButton(f"{DEFAULT_MODEL} (Default)".lower()) + default_btn = BigButton(f"{get_default_model()} (Default)".lower()) default_btn.set_click_callback(self._select_default) folder_buttons.append(default_btn) @@ -162,7 +162,8 @@ class ModelsLayoutMici(NavScroller): self._was_downloading = is_downloading self.current_model_info.current_model_header.set_text(tr("active model")) - model_text = manager.activeBundle.displayName.lower() if manager.activeBundle.ref else f"{DEFAULT_MODEL} (Default)".lower() + default_model_text = f"{get_default_model()} (Default)".lower() + model_text = manager.activeBundle.displayName.lower() if manager.activeBundle.ref else default_model_text self.current_model_info.current_model_text.set_text(model_text) self.current_model_info.info_header.set_text(tr("cache size")) self.current_model_info.info_text.set_text(f"{ModelsLayout.calculate_cache_size():.2f} MB") @@ -191,4 +192,3 @@ class ModelsLayoutMici(NavScroller): self.current_model_info.info_header.set_text(tr("progress") + self._download_progress) self.current_model_info.info_header._shimmer = True self.current_model_info.info_text.set_text(f"{progress/count:.2f}%") - diff --git a/openpilot/selfdrive/ui/sunnypilot/onroad/developer_ui/elements.py b/openpilot/selfdrive/ui/sunnypilot/onroad/developer_ui/elements.py index f89edef48b..a8ecb5f8ab 100644 --- a/openpilot/selfdrive/ui/sunnypilot/onroad/developer_ui/elements.py +++ b/openpilot/selfdrive/ui/sunnypilot/onroad/developer_ui/elements.py @@ -252,7 +252,7 @@ class FrictionCoefficientElement: ltp = sm['lateralTorqueParameters'] value = f"{ltp.frictionCoefficientFiltered:.3f}" - color = rl.Color(0, 255, 0, 255) if ltp.liveValid else rl.WHITE + color = rl.Color(0, 255, 0, 255) if ltp.valid else rl.WHITE return UiElement(value, "FRIC.", self.unit, color) @@ -266,7 +266,7 @@ class LatAccelFactorElement: ltp = sm['lateralTorqueParameters'] value = f"{ltp.latAccelFactorFiltered:.3f}" - color = rl.Color(0, 255, 0, 255) if ltp.liveValid else rl.WHITE + color = rl.Color(0, 255, 0, 255) if ltp.valid else rl.WHITE return UiElement(value, "L.A.F.", self.unit, color) diff --git a/openpilot/selfdrive/ui/sunnypilot/onroad/model_renderer.py b/openpilot/selfdrive/ui/sunnypilot/onroad/model_renderer.py index 5d78997662..3cf639d0a1 100644 --- a/openpilot/selfdrive/ui/sunnypilot/onroad/model_renderer.py +++ b/openpilot/selfdrive/ui/sunnypilot/onroad/model_renderer.py @@ -4,11 +4,23 @@ Copyright (c) 2021-, Haibin Wen, sunnypilot, and a number of other contributors. This file is part of sunnypilot and is licensed under the MIT License. See the LICENSE.md file in the root directory for more details. """ +from openpilot.common.filter_simple import FirstOrderFilter +from openpilot.selfdrive.ui.ui_state import ui_state, UIStatus from openpilot.selfdrive.ui.sunnypilot.onroad.chevron_metrics import ChevronMetrics from openpilot.selfdrive.ui.sunnypilot.onroad.rainbow_path import RainbowPath +from openpilot.system.ui.lib.application import gui_app class ModelRendererSP: def __init__(self): self.rainbow_path = RainbowPath() self.chevron_metrics = ChevronMetrics() + self._width_filter = FirstOrderFilter(0.9, 0.1, 1 / gui_app.target_fps) + + @property + def _lateral_active(self) -> bool: + return ui_state.status in (UIStatus.ENGAGED, UIStatus.LAT_ONLY) + + def _get_path_half_width(self) -> float: + target = 0.9 if self._lateral_active else 0.40 + return self._width_filter.update(target) diff --git a/openpilot/selfdrive/ui/tests/test_soundd.py b/openpilot/selfdrive/ui/tests/test_soundd.py index e2cd90f988..3416a22c98 100644 --- a/openpilot/selfdrive/ui/tests/test_soundd.py +++ b/openpilot/selfdrive/ui/tests/test_soundd.py @@ -20,14 +20,14 @@ class TestSoundd(OpenpilotTestCase): sm.update(100) assert sm.updated['selfdriveState'] - received_at = sm.recv_time['selfdriveState'] - clock = mocker.patch("openpilot.selfdrive.ui.soundd.time.monotonic", return_value=received_at + SELFDRIVE_STATE_TIMEOUT) + sm.recv_time['selfdriveState'] = 0 + clock = mocker.patch("openpilot.selfdrive.ui.soundd.time.monotonic", return_value=SELFDRIVE_STATE_TIMEOUT) assert not check_selfdrive_timeout_alert(sm) - clock.return_value = received_at + SELFDRIVE_STATE_TIMEOUT + 0.1 + clock.return_value = SELFDRIVE_STATE_TIMEOUT + 0.1 assert check_selfdrive_timeout_alert(sm) - clock.return_value = received_at + SELFDRIVE_STATE_TIMEOUT + 10 + clock.return_value = SELFDRIVE_STATE_TIMEOUT + 10 assert not check_selfdrive_timeout_alert(sm) def test_check_selfdrive_timeout_alert_mads_lateral_only(self): diff --git a/openpilot/sunnypilot/SConscript b/openpilot/sunnypilot/SConscript index 09ad39ab43..587deea5ff 100644 --- a/openpilot/sunnypilot/SConscript +++ b/openpilot/sunnypilot/SConscript @@ -1,3 +1,2 @@ SConscript(['common/transformations/SConscript']) -SConscript(['modeld_v2/SConscript']) SConscript(['selfdrive/locationd/SConscript']) diff --git a/openpilot/sunnypilot/livedelay/helpers.py b/openpilot/sunnypilot/livedelay/helpers.py index 0f7437ceea..7b36b57af1 100644 --- a/openpilot/sunnypilot/livedelay/helpers.py +++ b/openpilot/sunnypilot/livedelay/helpers.py @@ -8,7 +8,10 @@ from openpilot.common.params import Params def get_lat_delay(params: Params, stock_lat_delay: float) -> float: - if params.get_bool("LagdToggle"): - return float(params.get("LagdValueCache", return_default=True)) +# live learning on: use what lagd publishes. +# off: use the fixed steerActuatorDelay + software delay sum that LagdToggle caches. - return stock_lat_delay + if params.get_bool("LagdToggle"): + return stock_lat_delay + + return float(params.get("LagdValueCache", return_default=True)) diff --git a/openpilot/sunnypilot/modeld_v2/SConscript b/openpilot/sunnypilot/modeld_v2/SConscript deleted file mode 100644 index daaa199ea9..0000000000 --- a/openpilot/sunnypilot/modeld_v2/SConscript +++ /dev/null @@ -1,84 +0,0 @@ -import os -import glob - -from openpilot.common.transformations.camera import _ar_ox_fisheye, _os_fisheye -from openpilot.common.transformations.model import MEDMODEL_INPUT_SIZE -from openpilot.common.hardware import HARDWARE, PC - -Import('env', 'arch', 'release') -lenv = env.Clone() -tinygrad_files = ["#"+x for x in glob.glob(env.Dir("#tinygrad_repo").relpath + "/**", recursive=True, root_dir=env.Dir("#").abspath) if 'pycache' not in x] - - -def get_camera_configs(): - DEVICE_RESOLUTIONS = { - "tici": (_ar_ox_fisheye.width, _ar_ox_fisheye.height), - "tizi": (_ar_ox_fisheye.width, _ar_ox_fisheye.height), - "mici": (_os_fisheye.width, _os_fisheye.height), - } - if release or PC or 'CI' in os.environ: - return set(DEVICE_RESOLUTIONS.values()) - return [DEVICE_RESOLUTIONS[HARDWARE.get_device_type()]] - -CAMERA_CONFIGS = get_camera_configs() - -tg_flags = { - 'larch64': 'DEV=QCOM FLOAT16=1 NOLOCALS=1 JIT_BATCH_SIZE=0', - 'Darwin': f'DEV=CPU HOME={os.path.expanduser("~")}', -}.get(arch, 'DEV=CPU:LLVM') - -image_flag = { - 'larch64': 'IMAGE=2', -}.get(arch, 'IMAGE=0') - -model_w, model_h = MEDMODEL_INPUT_SIZE -from openpilot.selfdrive.modeld.constants import ModelConstants -frame_skip = ModelConstants.MODEL_RUN_FREQ // ModelConstants.MODEL_CONTEXT_FREQ -camera_res_args = ' '.join(f'{cw}x{ch}' for cw, ch in CAMERA_CONFIGS) - -pythonpath_string = 'PYTHONPATH="${PYTHONPATH}:' + env.Dir("#tinygrad_repo").abspath + ':' + env.Dir("#").abspath + '"' -compile_modeld_script = File("compile_modeld.py").abspath -upstream_compile_script = File(Dir("#openpilot/selfdrive/modeld").File("compile_modeld.py").abspath) -script_deps = [File("compile_modeld.py"), upstream_compile_script] - -def compile_combined(model_type, onnx_args, output_name): - output_pkl = File(f"models/{output_name}").abspath - cmd = (f'{pythonpath_string} {tg_flags} {image_flag} python3 {compile_modeld_script} ' - f'--model-type {model_type} ' - f'--model-size {model_w}x{model_h} ' - f'--camera-resolutions {camera_res_args} ' - f'{onnx_args} ' - f'--frame-skip {frame_skip} ' - f'--output {output_pkl}') - onnx_files = [f for f in onnx_args.split() if f.endswith('.onnx')] - return lenv.Command(output_pkl, tinygrad_files + script_deps + [File(f) for f in onnx_files if os.path.isfile(f)], cmd) - -# Vision + Policy (stock default model) -vision_onnx = File("models/driving_vision.onnx").abspath -policy_onnx = File("models/driving_policy.onnx").abspath -if os.path.isfile(vision_onnx) and os.path.isfile(policy_onnx): - compile_combined('vision_policy', - f'--vision-onnx {vision_onnx} --policy-onnx {policy_onnx}', - 'driving_combined_tinygrad.pkl') - -# Vision + Off-Policy -off_policy_onnx = File("models/driving_off_policy.onnx").abspath -if os.path.isfile(vision_onnx) and os.path.isfile(off_policy_onnx): - policy_arg = f'--policy-onnx {policy_onnx}' if os.path.isfile(policy_onnx) else '' - compile_combined('vision_multi_policy', - f'--vision-onnx {vision_onnx} {policy_arg} --off-policy-onnx {off_policy_onnx}', - 'driving_combined_multi_tinygrad.pkl') - -# Vision + On-Policy + Off-Policy -on_policy_onnx = File("models/driving_on_policy.onnx").abspath -if os.path.isfile(vision_onnx) and os.path.isfile(on_policy_onnx) and os.path.isfile(off_policy_onnx): - compile_combined('vision_multi_policy', - f'--vision-onnx {vision_onnx} --off-policy-onnx {off_policy_onnx} --on-policy-onnx {on_policy_onnx}', - 'driving_combined_tri_tinygrad.pkl') - -# Supercombo -supercombo_onnx = File("models/supercombo.onnx").abspath -if os.path.isfile(supercombo_onnx): - compile_combined('supercombo', - f'--supercombo-onnx {supercombo_onnx}', - 'driving_combined_supercombo_tinygrad.pkl') diff --git a/openpilot/sunnypilot/modeld_v2/compile_modeld.py b/openpilot/sunnypilot/modeld_v2/compile_modeld.py index def54a4599..85ae57c078 100755 --- a/openpilot/sunnypilot/modeld_v2/compile_modeld.py +++ b/openpilot/sunnypilot/modeld_v2/compile_modeld.py @@ -8,10 +8,10 @@ See the LICENSE.md file in the root directory for more details. import argparse import os -import pickle +import tempfile import time -from collections import defaultdict from functools import partial +from openpilot.selfdrive.modeld.helpers import dump_oob, load_oob import numpy as np os.environ['GMMU'] = '0' @@ -38,6 +38,9 @@ from tinygrad.engine.jit import TinyJit from tinygrad.tensor import Tensor MODEL_TYPES = ('vision_policy', 'supercombo', 'vision_multi_policy') +WARP_INPUTS = ['tfm', 'big_tfm'] +POLICY_INPUTS = ['img_q', 'big_img_q', 'feat_q', 'desire_q', 'packed_npy_inputs'] +WARP_DEV = os.getenv('WARP_DEV') def _detect_desire_key(shapes: dict) -> str | None: @@ -76,7 +79,7 @@ def get_policy_npy_shapes(input_shapes: dict, is_supercombo: bool = False) -> tu def generate_queues_and_npy(input_shapes: dict, frame_skip: int, device: str = Device.DEFAULT, - is_supercombo: bool = False, use_packed: bool = True) -> tuple[dict, dict]: + is_supercombo: bool = False) -> tuple[dict, dict]: road_key, _ = _detect_vision_keys(input_shapes) if not road_key: raise ValueError("Vision road key missing from input shapes.") @@ -92,74 +95,76 @@ def generate_queues_and_npy(input_shapes: dict, frame_skip: int, device: str = D desire_shape = input_shapes[desire_key] features_buffer = input_shapes.get('features_buffer') - if use_packed: # remove packed detection block after all models are recompiled - npy_arrays = { - 'tfm': np.zeros((3, 3), dtype=np.float32), - 'big_tfm': np.zeros((3, 3), dtype=np.float32) - } + npy_arrays = { + 'tfm': np.zeros((3, 3), dtype=np.float32), + 'big_tfm': np.zeros((3, 3), dtype=np.float32) + } - shapes, sizes = get_policy_npy_shapes(input_shapes, is_supercombo=is_supercombo) - packed_npy_inputs = np.zeros(sum(sizes), dtype=np.float32) + shapes, sizes = get_policy_npy_shapes(input_shapes, is_supercombo=is_supercombo) + packed_npy_inputs = np.zeros(sum(sizes), dtype=np.float32) - split_indices = np.cumsum(sizes[:-1]) if len(sizes) > 1 else [] - split_views = np.split(packed_npy_inputs, split_indices) if len(sizes) > 0 else [] - for (k, s), v in zip(shapes.items(), split_views, strict=True): - npy_arrays[k] = v.reshape(s) + split_indices = np.cumsum(sizes[:-1]) if len(sizes) > 1 else [] + split_views = np.split(packed_npy_inputs, split_indices) if len(sizes) > 0 else [] + for (k, s), v in zip(shapes.items(), split_views, strict=True): + npy_arrays[k] = v.reshape(s) - queues = { - 'img_q': Tensor(np.zeros(img_buf_shape, dtype=np.uint8), device=device).contiguous().realize(), - 'big_img_q': Tensor(np.zeros(img_buf_shape, dtype=np.uint8), device=device).contiguous().realize(), - 'desire_q': Tensor(np.zeros((frame_skip * desire_shape[1], desire_shape[0], desire_shape[2]), - dtype=np.float32), device=device).contiguous().realize(), - 'packed_npy_inputs': Tensor(packed_npy_inputs, device='NPY').realize(), - } + queues = { + 'img_q': Tensor(np.zeros(img_buf_shape, dtype=np.uint8), device=device).contiguous().realize(), + 'big_img_q': Tensor(np.zeros(img_buf_shape, dtype=np.uint8), device=device).contiguous().realize(), + 'desire_q': Tensor(np.zeros((frame_skip * desire_shape[1], desire_shape[0], desire_shape[2]), + dtype=np.float32), device=device).contiguous().realize(), + 'packed_npy_inputs': Tensor(packed_npy_inputs, device='NPY').realize(), + } - if features_buffer: - queues['feat_q'] = Tensor(np.zeros((frame_skip * (features_buffer[1] - 1) + 1, features_buffer[0], features_buffer[2]), - dtype=np.float32), device=device).contiguous().realize() + if features_buffer: + feat_q_len = frame_skip * features_buffer[1] if is_supercombo else frame_skip * (features_buffer[1] - 1) + 1 + queues['feat_q'] = Tensor(np.zeros((feat_q_len, features_buffer[0], features_buffer[2]), + dtype=np.float32), device=device).contiguous().realize() - queues.update({key: Tensor(value, device='NPY').realize() for key, value in npy_arrays.items() if key in ('tfm', 'big_tfm')}) - else: - # TODO-SP: Remove legacy queuing fallback else block after all models are recompiled - npy_arrays = { - 'desire': np.zeros(desire_shape[2], dtype=np.float32), - 'tfm': np.zeros((3, 3), dtype=np.float32), - 'big_tfm': np.zeros((3, 3), dtype=np.float32) - } - - for key, shape in input_shapes.items(): - if key not in npy_arrays and 'img' not in key and key not in ('features_buffer', desire_key): - npy_arrays[key] = np.zeros(shape, dtype=np.float32) - - queues = { - 'img_q': Tensor(np.zeros(img_buf_shape, dtype=np.uint8), device=device).contiguous().realize(), - 'big_img_q': Tensor(np.zeros(img_buf_shape, dtype=np.uint8), device=device).contiguous().realize(), - 'desire_q': Tensor(np.zeros((frame_skip * desire_shape[1], desire_shape[0], desire_shape[2]), - dtype=np.float32), device=device).contiguous().realize() - } - - if features_buffer: - queues['feat_q'] = Tensor(np.zeros((frame_skip * (features_buffer[1] - 1) + 1, features_buffer[0], features_buffer[2]), - dtype=np.float32), device=device).contiguous().realize() - - queues.update({key: Tensor(value, device='NPY').realize() for key, value in npy_arrays.items()}) + queues.update({key: Tensor(value, device='NPY').realize() for key, value in npy_arrays.items() if key in ('tfm', 'big_tfm')}) return queues, npy_arrays def make_split_input_queues(vision_input_shapes: dict, policy_input_shapes: dict, - frame_skip: int, device: str = Device.DEFAULT, use_packed: bool = True) -> tuple[dict, dict]: - return generate_queues_and_npy({**vision_input_shapes, **policy_input_shapes}, frame_skip, device, is_supercombo=False, use_packed=use_packed) + frame_skip: int, device: str = Device.DEFAULT) -> tuple[dict, dict]: + return generate_queues_and_npy({**vision_input_shapes, **policy_input_shapes}, frame_skip, device, is_supercombo=False) def make_supercombo_input_queues(input_shapes: dict, frame_skip: int, - device: str = Device.DEFAULT, use_packed: bool = True) -> tuple[dict, dict]: - return generate_queues_and_npy(input_shapes, frame_skip, device, is_supercombo=True, use_packed=use_packed) + device: str = Device.DEFAULT) -> tuple[dict, dict]: + return generate_queues_and_npy(input_shapes, frame_skip, device, is_supercombo=True) -def create_jit_runner(vision_runner, policy_runners: list, nv12: NV12Frame, model_size: tuple[int, int], - features_slice: slice, frame_skip: int, input_shapes: dict, prepare_only: bool): - frame_prepare = make_frame_prepare(nv12, *model_size) +def make_random_images(keys, shape, device): + return {k: Tensor.randint(shape, low=0, high=256, dtype=dtypes.uint8, device=device).realize() for k in keys} + + +def make_warp_queues(device=Device.DEFAULT): + npy = { + 'tfm': np.zeros((3, 3), dtype=np.float32), + 'big_tfm': np.zeros((3, 3), dtype=np.float32), + } + queues = {k: Tensor(v, device='NPY').realize() for k, v in npy.items()} + return queues, npy + + +def make_warp(nv12: NV12Frame, model_w: int, model_h: int): + frame_prepare = make_frame_prepare(nv12, model_w, model_h) + WARP_DEV = os.getenv('WARP_DEV', Device.DEFAULT) + + def warp(tfm, big_tfm, frame, big_frame): + tfm = tfm.to(WARP_DEV) + big_tfm = big_tfm.to(WARP_DEV) + Tensor.realize(tfm, big_tfm) + + warped_frame = frame_prepare(frame, tfm).unsqueeze(0) + warped_big_frame = frame_prepare(big_frame, big_tfm).unsqueeze(0) + return Tensor.cat(warped_frame, warped_big_frame) + return warp + + +def make_run_policy(vision_runner, policy_runners: list, features_slice: slice, frame_skip: int, input_shapes: dict): sample_skip_fn = partial(sample_skip, frame_skip=frame_skip) sample_desire_fn = partial(sample_desire, frame_skip=frame_skip) @@ -172,20 +177,14 @@ def create_jit_runner(vision_runner, policy_runners: list, nv12: NV12Frame, mode is_supercombo = vision_runner is None npy_shapes, npy_sizes = get_policy_npy_shapes(input_shapes, is_supercombo=is_supercombo) - def runner(img_q, big_img_q, feat_q, packed_npy_inputs, frame, big_frame, tfm, big_tfm, **kwargs): + def run_policy(warped, img_q, big_img_q, feat_q, packed_npy_inputs, **kwargs): desire_q = kwargs['desire_q'] - packed_npy_inputs_dev = packed_npy_inputs.to(Device.DEFAULT) - tfm_dev = tfm.to(Device.DEFAULT) - big_tfm_dev = big_tfm.to(Device.DEFAULT) + warped_dev = warped.to(Device.DEFAULT) + Tensor.realize(packed_npy_inputs_dev, warped_dev) - Tensor.realize(packed_npy_inputs_dev, tfm_dev, big_tfm_dev) - - img = shift_and_sample(img_q, frame_prepare(frame, tfm_dev).unsqueeze(0), sample_skip_fn).realize() - big_img = shift_and_sample(big_img_q, frame_prepare(big_frame, big_tfm_dev).unsqueeze(0), sample_skip_fn).realize() - - if prepare_only: - return img, big_img + img = shift_and_sample(img_q, warped_dev[0:1], sample_skip_fn).realize() + big_img = shift_and_sample(big_img_q, warped_dev[1:2], sample_skip_fn).realize() unpacked_tensors = [tensor.reshape(shape) for tensor, shape in zip(packed_npy_inputs_dev.split(npy_sizes), npy_shapes.values(), strict=True)] unpacked_dict = dict(zip(npy_shapes.keys(), unpacked_tensors, strict=True)) @@ -220,42 +219,52 @@ def create_jit_runner(vision_runner, policy_runners: list, nv12: NV12Frame, mode shift_and_sample(feat_q, new_feat, sample_skip_fn).realize() return policy_out - return runner + return run_policy -def compile_and_warmup(nv12: NV12Frame, model_size: tuple[int, int], prepare_only: bool, frame_skip: int, vision_runner, policy_runners: list, metadata: dict): - print(f"Compiling combined JIT for {nv12.width}x{nv12.height} (prepare_only={prepare_only})...") +def compile_jit(jit, make_random_inputs, input_keys, make_queues): + SEED = 42 + def random_inputs_run(fn, seed, test_val=None, test_buffers=None, expect_match=True): + input_queues, npy = make_queues(Device.DEFAULT) + rng = np.random.default_rng(seed) + Tensor.manual_seed(seed) - all_shapes = {key: value for meta in metadata.values() for key, value in meta['input_shapes'].items()} + testing = test_val is not None or test_buffers is not None + n_runs = 1 if testing else 3 - feat_meta = metadata.get('vision') or metadata.get('model') or metadata.get('policy') - if not feat_meta: - raise ValueError("Could not find vision, model, or policy metadata.") + for i in range(n_runs): + for v in npy.values(): + v[:] = rng.standard_normal(v.shape).astype(v.dtype) + Device.default.synchronize() + random_inputs = make_random_inputs() + st = time.perf_counter() + outs = fn(**{k: input_queues[k] for k in input_keys if k in input_queues}, **random_inputs) + mt = time.perf_counter() + Device.default.synchronize() + et = time.perf_counter() + print(f" [{i+1}/{n_runs}] enqueue {(mt-st)*1e3:6.2f} ms -- total {(et-st)*1e3:6.2f} ms") - features_slice = feat_meta['output_slices']['hidden_state'] - WARP_DEV = 'CPU' if "USBGPU" in os.environ else Device.DEFAULT + if i == 0: + val = [np.copy(v.numpy()) for v in (outs if isinstance(outs, tuple) else [outs])] if outs is not None else [] + buffers = [np.copy(v.numpy().copy()) for v in input_queues.values()] - is_supercombo = vision_runner is None - run_func = create_jit_runner(vision_runner, policy_runners, nv12, model_size, features_slice, frame_skip, all_shapes, prepare_only) - run_jit = TinyJit(run_func, prune=True) - queues, npy_arrays = generate_queues_and_npy(all_shapes, frame_skip, Device.DEFAULT, is_supercombo=is_supercombo) + if test_val is not None: + match = all(np.array_equal(a, b) for a, b in zip(val, test_val, strict=True)) + assert match == expect_match, f"outputs {'differ from' if expect_match else 'match'} baseline (seed={seed})" + if test_buffers is not None: + match = all(np.array_equal(a, b) for a, b in zip(buffers, test_buffers, strict=True)) + assert match == expect_match, f"buffers {'differ from' if expect_match else 'match'} baseline (seed={seed})" + return val, buffers - for i in range(3): - rng = np.random.default_rng(42 + i) - frame = Tensor.randint(nv12.size, low=0, high=256, dtype=dtypes.uint8, device=WARP_DEV).realize() - big_frame = Tensor.randint(nv12.size, low=0, high=256, dtype=dtypes.uint8, device=WARP_DEV).realize() - for arr in npy_arrays.values(): - arr[:] = rng.standard_normal(arr.shape).astype(arr.dtype) - - Device.default.synchronize() - start_time = time.perf_counter() - run_jit(**queues, frame=frame, big_frame=big_frame) - mid_time = time.perf_counter() - Device.default.synchronize() - print(f" [{i + 1}/3] enqueue {(mid_time - start_time) * 1e3:6.2f} ms -- total {(time.perf_counter() - start_time) * 1e3:6.2f} ms") - - # TODO-SP: switch to dump_oob/load_oob on next full recompile of all models - return pickle.loads(pickle.dumps(run_jit)) if not prepare_only else run_jit + print('capture + replay') + test_val, test_buffers = random_inputs_run(jit, SEED) + print('pickle round trip') + with tempfile.TemporaryFile(dir=".") as f: + dump_oob(jit, f) + f.seek(0) + deserialized_jit = load_oob(f) + random_inputs_run(deserialized_jit, SEED, test_val=test_val, test_buffers=test_buffers) + return deserialized_jit def _parse_size(size_str: str) -> tuple[int, int]: @@ -263,31 +272,17 @@ def _parse_size(size_str: str) -> tuple[int, int]: return int(width), int(height) -def read_file_chunked_to_shm(path): +def read_file_chunked_to_disk(path): if not path: return None import atexit import shutil from openpilot.common.file_chunker import open_file_chunked - from openpilot.common.hardware.hw import Paths - shm_path = os.path.join(Paths.shm_path(), os.path.basename(path)) - atexit.register(lambda: os.path.exists(shm_path) and os.remove(shm_path)) - with open(shm_path, 'wb') as dst, open_file_chunked(path) as src: - shutil.copyfileobj(src, dst) - return shm_path - - -def _compile_for_resolutions(camera_resolutions: list, model_size: tuple[int, int], frame_skip: int, - vision_runner, policy_runners: list, metadata: dict) -> dict: - from openpilot.system.camerad.cameras.nv12_info import get_nv12_info - return { - (cam_w, cam_h): { - name: compile_and_warmup(NV12Frame(cam_w, cam_h, *get_nv12_info(cam_w, cam_h)), model_size, prepare_only, - frame_skip, vision_runner, policy_runners, metadata) - for name, prepare_only in [('warp_enqueue', True), ('run_policy', False)] - } - for cam_w, cam_h in camera_resolutions - } + tmp_path = f'{path}.unchunked' + with open(tmp_path, 'wb') as f, open_file_chunked(path) as src: + shutil.copyfileobj(src, f) + atexit.register(lambda: os.path.exists(tmp_path) and os.remove(tmp_path)) + return tmp_path def _load_policy_runners(args: argparse.Namespace) -> tuple[list, list]: @@ -300,7 +295,18 @@ def _load_policy_runners(args: argparse.Namespace) -> tuple[list, list]: if __name__ == "__main__": + if 'USB' in os.getenv('DEV', '') or os.getenv('USBGPU'): + from openpilot.system.hardware.chestnut.flash import link_up + for _ in range(10): + if link_up(): + break + time.sleep(1) + else: + raise RuntimeError("Chestnut not ready, skipping big model build") + + from openpilot.common.file_chunker import chunk_file, get_chunk_targets from openpilot.selfdrive.modeld.get_model_metadata import make_metadata_dict + from openpilot.system.camerad.cameras.nv12_info import get_nv12_info from tinygrad.nn.onnx import OnnxRunner parser = argparse.ArgumentParser(description="Compile combined JIT pkl for sunnypilot modeld_v2") @@ -317,13 +323,14 @@ if __name__ == "__main__": parser.add_argument('--supercombo-onnx', help='supercombo ONNX (for supercombo)') args = parser.parse_args() - output_data = defaultdict(dict) + model_w, model_h = args.model_size + output_data = {} - args.vision_onnx = read_file_chunked_to_shm(args.vision_onnx) - args.policy_onnx = read_file_chunked_to_shm(args.policy_onnx) - args.off_policy_onnx = read_file_chunked_to_shm(args.off_policy_onnx) - args.on_policy_onnx = read_file_chunked_to_shm(args.on_policy_onnx) - args.supercombo_onnx = read_file_chunked_to_shm(args.supercombo_onnx) + args.vision_onnx = read_file_chunked_to_disk(args.vision_onnx) + args.policy_onnx = read_file_chunked_to_disk(args.policy_onnx) + args.off_policy_onnx = read_file_chunked_to_disk(args.off_policy_onnx) + args.on_policy_onnx = read_file_chunked_to_disk(args.on_policy_onnx) + args.supercombo_onnx = read_file_chunked_to_disk(args.supercombo_onnx) vision_runner = OnnxRunner(args.vision_onnx) if args.vision_onnx else None @@ -348,17 +355,31 @@ if __name__ == "__main__": vision_meta = output_data['metadata'].get('vision', {}) derived_frame_skip = args.frame_skip or derive_frame_skip(vision_meta.get('input_shapes', {}), first_policy_meta.get('input_shapes', {})) - output_data.update(_compile_for_resolutions(args.camera_resolutions, args.model_size, derived_frame_skip, - vision_runner, policy_runners, output_data['metadata'])) + all_shapes = {key: value for meta in output_data['metadata'].values() for key, value in meta['input_shapes'].items()} + feat_meta = output_data['metadata'].get('vision') or output_data['metadata'].get('model') or output_data['metadata'].get('policy') + assert feat_meta is not None + features_slice = feat_meta['output_slices']['hidden_state'] + is_supercombo = vision_runner is None + + print(f"Compiling run_policy JIT (model_size={model_w}x{model_h}, frame_skip={derived_frame_skip})...") + run_policy_func = make_run_policy(vision_runner, policy_runners, features_slice, derived_frame_skip, all_shapes) + run_policy_jit = TinyJit(run_policy_func, prune=True) + make_policy_queues = partial(generate_queues_and_npy, all_shapes, derived_frame_skip, is_supercombo=is_supercombo) + make_random_model_inputs = partial(make_random_images, keys=['warped'], shape=(2, 6, model_h // 2, model_w // 2), device=WARP_DEV) + output_data['run_policy'] = compile_jit(run_policy_jit, make_random_model_inputs, POLICY_INPUTS, make_policy_queues) + + for cam_w, cam_h in args.camera_resolutions: + print(f"Compiling warp JIT for {cam_w}x{cam_h}...") + nv12 = NV12Frame(cam_w, cam_h, *get_nv12_info(cam_w, cam_h)) + make_random_warp_inputs = partial(make_random_images, keys=['frame', 'big_frame'], shape=nv12.size, device=WARP_DEV) + warp = TinyJit(make_warp(nv12, model_w, model_h), prune=True) + output_data[(cam_w, cam_h)] = compile_jit(warp, make_random_warp_inputs, WARP_INPUTS, make_warp_queues) with open(args.output, "wb") as file: - # TODO-SP: switch to dump_oob from openpilot/selfdrive/helpers on next full recompile of all models - pickle.dump(output_data, file) + dump_oob(output_data, file) pkl_size = os.path.getsize(args.output) print(f"Saved combined JIT to {args.output} ({pkl_size / 1e6:.2f} MB)") - - from openpilot.common.file_chunker import chunk_file, get_chunk_targets chunk_targets = get_chunk_targets(args.output, pkl_size) chunk_file(args.output, chunk_targets) print(f"Chunked into {len(chunk_targets) - 1} file(s)") diff --git a/openpilot/sunnypilot/modeld_v2/modeld.py b/openpilot/sunnypilot/modeld_v2/modeld.py index 66b560802b..9f3d709537 100755 --- a/openpilot/sunnypilot/modeld_v2/modeld.py +++ b/openpilot/sunnypilot/modeld_v2/modeld.py @@ -9,17 +9,13 @@ See the LICENSE.md file in the root directory for more details. import os os.environ['GMMU'] = '0' from openpilot.common.hardware import COMMA_HARDWARE -os.environ['DEV'] = 'QCOM' if COMMA_HARDWARE else 'CPU' -USBGPU = "USBGPU" in os.environ -if USBGPU: - os.environ['DEV'] = 'AMD' - os.environ['AMD_IFACE'] = 'USB' -import pickle +from openpilot.selfdrive.modeld.helpers import usbgpu_present, load_oob import time import numpy as np import openpilot.cereal.messaging as messaging from openpilot.cereal import log from opendbc.car.structs import car +from openpilot.cereal.services import SERVICE_LIST from setproctitle import setproctitle from openpilot.cereal.messaging import PubMaster, SubMaster from openpilot.cereal.visionipc import VisionStreamType @@ -27,7 +23,6 @@ from msgq.visionipc import VisionIpcClient, VisionBuf from opendbc.car.car_helpers import get_demo_car_params from tinygrad.tensor import Tensor -from tinygrad.device import Device from openpilot.common.file_chunker import open_file_chunked from openpilot.common.swaglog import cloudlog @@ -40,12 +35,13 @@ from openpilot.system import sentry from openpilot.system.camerad.cameras.nv12_info import get_nv12_info from openpilot.selfdrive.controls.lib.desire_helper import DesireHelper from openpilot.selfdrive.controls.lib.drive_helpers import get_accel_from_plan, smooth_value +from openpilot.selfdrive.modeld.modeld import ChestnutState from openpilot.sunnypilot.modeld_v2.fill_model_msg import fill_model_msg, fill_pose_msg, PublishState, get_curvature_from_output from openpilot.sunnypilot.modeld_v2.constants import Plan from openpilot.sunnypilot.modeld_v2.meta_helper import load_meta_constants from openpilot.sunnypilot.modeld_v2.camera_offset_helper import CameraOffsetHelper -from openpilot.sunnypilot.modeld_v2.compile_modeld import derive_frame_skip, make_split_input_queues +from openpilot.sunnypilot.modeld_v2.compile_modeld import derive_frame_skip, make_split_input_queues, make_supercombo_input_queues, WARP_INPUTS, POLICY_INPUTS from openpilot.sunnypilot.livedelay.helpers import get_lat_delay from openpilot.sunnypilot.modeld_v2.modeld_base import ModelStateBase @@ -88,7 +84,7 @@ class ModelState(ModelStateBase): inputs: dict[str, np.ndarray] prev_desire: np.ndarray - def __init__(self, cam_w: int, cam_h: int): + def __init__(self, cam_w: int, cam_h: int, usbgpu: bool = False): ModelStateBase.__init__(self) env_pkl = os.environ.get('COMBINED_MODEL_PKL') @@ -103,6 +99,7 @@ class ModelState(ModelStateBase): self.LONG_SMOOTH_SECONDS = float(overrides.get('long', ".0")) self.MIN_LAT_CONTROL_SPEED = 0.3 self.PLANPLUS_CONTROL: float = 1.0 + self.usbgpu = usbgpu pkl_path = _find_driving_pkl(model_bundle) assert pkl_path is not None, "No driving pkl found — all models must be compiled with compile_modeld.py" @@ -110,24 +107,20 @@ class ModelState(ModelStateBase): def _init_combined(self, pkl_path, cam_w, cam_h, bundle): cloudlog.warning(f"loading combined pkl: {pkl_path}") - # TODO-SP: switch to load_oob from openpilot/selfdrive/helpers on next full recompile of all models - jits = pickle.load(open_file_chunked(pkl_path)) + jits = load_oob(open_file_chunked(pkl_path)) - self.DEV = Device.DEFAULT - self.WARP_DEV = 'CPU' if USBGPU else self.DEV + self.WARP_DEV = 'QCOM' if COMMA_HARDWARE else 'CPU' + self.DEV = 'AMD' if self.usbgpu else self.WARP_DEV self.QUEUE_DEV = self.DEV - metadata = jits['metadata'] - self._run_policy = jits[(cam_w, cam_h)]['run_policy'] - self._warp_enqueue = jits[(cam_w, cam_h)]['warp_enqueue'] - - # TODO-SP: Remove legacy use_packed detection block after all models are recompiled - captured = getattr(self._run_policy, 'captured', None) - if captured is not None: - use_packed = 'packed_npy_inputs' in getattr(captured, 'expected_names', []) + self.is_legacy_model = 'run_policy' not in jits # remove after next recompile + if self.is_legacy_model: + self.warp = jits[(cam_w, cam_h)]['warp_enqueue'] + self.run_policy = jits[(cam_w, cam_h)]['run_policy'] else: - use_packed = True + self.run_policy = jits['run_policy'] + self.warp = jits[(cam_w, cam_h)] if 'model' in metadata: model_metadata = metadata['model'] @@ -136,10 +129,9 @@ class ModelState(ModelStateBase): self._policy_slices_list = [] self._combined_model_type = 'supercombo' self._vision_input_names = [key for key in model_metadata['input_shapes'] if 'img' in key] - from openpilot.sunnypilot.modeld_v2.compile_modeld import make_supercombo_input_queues frame_skip = derive_frame_skip({}, model_metadata['input_shapes']) self.input_queues, self.numpy_inputs = make_supercombo_input_queues(model_metadata['input_shapes'], - frame_skip, device=self.QUEUE_DEV, use_packed=use_packed) + frame_skip, device=self.QUEUE_DEV) else: vision_metadata = metadata['vision'] policy_keys = [k for k in metadata if k != 'vision'] @@ -152,13 +144,12 @@ class ModelState(ModelStateBase): self._policy_slices_list = [metadata[k]['output_slices'] for k in policy_keys] self.policy_output_slices = self._policy_slices_list[0] self._has_on_policy = any('on' in k.lower() for k in policy_keys) - first_policy_metadata = metadata[policy_keys[0]] - vision_input_shapes = vision_metadata['input_shapes'] - policy_input_shapes = first_policy_metadata['input_shapes'] - self._vision_input_names = [k for k in vision_input_shapes if 'img' in k] - frame_skip = derive_frame_skip(vision_input_shapes, policy_input_shapes) - self.input_queues, self.numpy_inputs = make_split_input_queues(vision_input_shapes, policy_input_shapes, - frame_skip, device=self.QUEUE_DEV, use_packed=use_packed) + self._vision_input_names = [key for key in vision_metadata['input_shapes'] if 'img' in key] + first_policy_meta = metadata[policy_keys[0]] + frame_skip = derive_frame_skip(vision_metadata['input_shapes'], first_policy_meta['input_shapes']) + self.input_queues, self.numpy_inputs = make_split_input_queues(vision_metadata['input_shapes'], + first_policy_meta['input_shapes'], + frame_skip, device=self.QUEUE_DEV) self._desire_key = next(key for key in self.numpy_inputs if key.startswith('desire')) self._road_key = next(key for key in self._vision_input_names if 'big' not in key) @@ -186,10 +177,33 @@ class ModelState(ModelStateBase): self.frame_buf_params = dict.fromkeys(self._vision_input_names, nv12_info) yuv_size = self.frame_buf_params[self._road_key][3] - self._warp_enqueue( - **self.input_queues, - frame=Tensor(np.zeros(yuv_size, dtype=np.uint8), device=self.WARP_DEV).contiguous().realize(), - big_frame=Tensor(np.zeros(yuv_size, dtype=np.uint8), device=self.WARP_DEV).contiguous().realize()) + frame_tensor = Tensor(np.zeros(yuv_size, dtype=np.uint8), device=self.WARP_DEV).contiguous().realize() + big_frame_tensor = Tensor(np.zeros(yuv_size, dtype=np.uint8), device=self.WARP_DEV).contiguous().realize() + + if self.is_legacy_model: # Remove this conditional hack after recompile + self.warp(**self.input_queues, frame=frame_tensor, big_frame=big_frame_tensor) + else: + self.warp(**{k: self.input_queues[k] for k in WARP_INPUTS}, frame=frame_tensor, big_frame=big_frame_tensor) + + if self.usbgpu: + self.warmup() + + def warmup(self) -> None: + dummy_frames = {k: np.zeros(self.frame_buf_params[k][3], dtype=np.uint8) for k in self._vision_input_names} + transforms = {k: np.eye(3, dtype=np.float32) for k in [self._road_key, self._wide_key] if k} + + dummy_inputs = {} + for k, v in self.numpy_inputs.items(): + if k not in ['tfm', 'big_tfm', 'prev_feat']: + dummy_inputs[k] = np.zeros(v.shape, dtype=v.dtype) + + self.run(dummy_frames, transforms, dummy_inputs, prepare_only=False) + + for v in self.numpy_inputs.values(): + v[:] = 0 + self.prev_desire[:] = 0 + self.full_frames.clear() + self._blob_cache.clear() @property @@ -227,11 +241,17 @@ class ModelState(ModelStateBase): self.numpy_inputs['tfm'][:, :] = transforms[road_key].reshape(3, 3) self.numpy_inputs['big_tfm'][:, :] = transforms[wide_key].reshape(3, 3) - if prepare_only: - self._warp_enqueue(**self.input_queues, frame=self.full_frames[road_key], big_frame=self.full_frames[wide_key]) - return None - - raw_outputs = self._run_policy(**self.input_queues, frame=self.full_frames[road_key], big_frame=self.full_frames[wide_key]) + if self.is_legacy_model: # remove after next recompile + if prepare_only: + self.warp(**self.input_queues, frame=self.full_frames[road_key], big_frame=self.full_frames[wide_key]) + return None + raw_outputs = self.run_policy(**self.input_queues, frame=self.full_frames[road_key], big_frame=self.full_frames[wide_key]) + else: + if prepare_only: + self.warp(**{k: self.input_queues[k] for k in WARP_INPUTS}, frame=self.full_frames[road_key], big_frame=self.full_frames[wide_key]) + return None + warped = self.warp(**{k: self.input_queues[k] for k in WARP_INPUTS}, frame=self.full_frames[road_key], big_frame=self.full_frames[wide_key]) + raw_outputs = self.run_policy(**{k: self.input_queues[k] for k in POLICY_INPUTS if k in self.input_queues}, warped=warped) if self._combined_model_type == 'supercombo': model_output = raw_outputs.numpy().flatten() @@ -267,10 +287,9 @@ class ModelState(ModelStateBase): buf[0, :-1] = buf[0, 1:] buf[0, -1, :] = outputs['desired_curvature'][0, :] if not self.mlsim else 0 - # TODO-SP: This is a hack to prevent GPU corruption by calculating in CPU space, it can be removed on next recompile - if 'prev_feat' not in self.numpy_inputs and 'feat_q' in self.input_queues: - feat_val = self.input_queues['feat_q'].numpy() - self.input_queues['feat_q'].assign(feat_val).realize() + if self.usbgpu and not np.all(np.isfinite(outputs.get('plan', np.array([0.])))): + cloudlog.error("model output not finite, dropping frame") + return None return outputs @@ -278,8 +297,8 @@ class ModelState(ModelStateBase): lat_action_t: float, long_action_t: float, v_ego: float) -> log.ModelDataV2.Action: if 'action' not in model_output: plan = model_output['plan'][0] - desired_accel, should_stop = get_accel_from_plan(plan[:, Plan.VELOCITY][:, 0], plan[:, Plan.ACCELERATION][:, 0], self.constants.T_IDXS, - action_t=long_action_t) + desired_accel = get_accel_from_plan(plan[:, Plan.VELOCITY][:, 0], plan[:, Plan.ACCELERATION][:, 0], self.constants.T_IDXS, + action_t=long_action_t) curvature_plan = (plan + (self.PLANPLUS_CONTROL - 1.0) * model_output['planplus'][0] if 'planplus' in model_output and self.PLANPLUS_CONTROL != 1.0 else plan) @@ -287,8 +306,8 @@ class ModelState(ModelStateBase): else: desired_accel = model_output['action'][0, 1] desired_curvature = model_output['action'][0, 0] / (max(1.0, v_ego))**2 - should_stop = (v_ego < 0.3 and desired_accel < 0.1) + stop = v_ego < 0.3 and desired_accel < 0.1 desired_accel = smooth_value(desired_accel, prev_action.desiredAcceleration, self.LONG_SMOOTH_SECONDS) if self.generation is not None and self.generation >= 10: # smooth curvature for post FOF models @@ -297,7 +316,7 @@ class ModelState(ModelStateBase): else: desired_curvature = prev_action.desiredCurvature - return log.ModelDataV2.Action(desiredCurvature=float(desired_curvature),desiredAcceleration=float(desired_accel), shouldStop=bool(should_stop)) + return log.ModelDataV2.Action(desiredCurvature=float(desired_curvature), desiredAcceleration=float(desired_accel), shouldStop=bool(stop)) def main(demo=False): @@ -308,6 +327,14 @@ def main(demo=False): setproctitle(PROCESS_NAME) config_realtime_process(7, 54) + USBGPU = usbgpu_present() + if USBGPU: + os.environ['HCQDEV_WAIT_TIMEOUT_MS'] = '3000' + + params = Params() + params.put_bool("UsbGpuLoading", USBGPU) + params.remove("UsbGpuActive") + # visionipc clients while True: available_streams = VisionIpcClient.available_streams("camerad", block=False) @@ -332,15 +359,34 @@ def main(demo=False): cloudlog.warning(f"connected extra cam with buffer size: {vipc_client_extra.buffer_len} ({vipc_client_extra.width} x {vipc_client_extra.height})") cloudlog.warning("loading model") - model = ModelState(cam_w=vipc_client_main.width, cam_h=vipc_client_main.height) - cloudlog.warning("models loaded, modeld starting") + st = time.monotonic() + + model = None + if USBGPU: + import threading + def load(): + nonlocal model + model = ModelState(cam_w=vipc_client_main.width, cam_h=vipc_client_main.height, usbgpu=True) + t = threading.Thread(target=load, daemon=True) + t.start() + t.join(60) + if model is None: + params.put_bool("UsbGpuActive", False) + raise RuntimeError("eGPU model load failed or timed out (60s)") + params.put_bool("UsbGpuActive", True) + else: + model = ModelState(cam_w=vipc_client_main.width, cam_h=vipc_client_main.height, usbgpu=False) + + params.put_bool("UsbGpuLoading", False) + cloudlog.warning(f"models loaded in {time.monotonic() - st:.1f}s, modeld starting") # messaging - pm = PubMaster(["modelV2", "drivingModelData", "cameraOdometry", "modelDataV2SP"]) + pub_socks = ["modelV2", "drivingModelData", "cameraOdometry", "modelDataV2SP"] + (["chestnutState"] if USBGPU else []) + pm = PubMaster(pub_socks) sm = SubMaster(["deviceState", "carState", "narrowRoadCameraState", "extrinsicsCalibration", "driverMonitoringState", "carControl", "lateralDelay"]) publish_state = PublishState() - params = Params() + chestnut_state = ChestnutState(pm, USBGPU) if USBGPU else None # setup filter to track dropped frames frame_dropped_filter = FirstOrderFilter(0., 10., 1. / model.constants.MODEL_FREQ) @@ -478,6 +524,7 @@ def main(demo=False): fill_model_msg(drivingdata_send, modelv2_send, model_output, action, publish_state, meta_main.frame_id, meta_extra.frame_id, frame_id, frame_drop_ratio, meta_main.timestamp_eof, model_execution_time, live_calib_seen, meta_constants) + modelv2_send.modelV2.big = model.usbgpu desire_state = modelv2_send.modelV2.meta.desireState l_lane_change_prob = desire_state[log.Desire.laneChangeLeft] @@ -498,6 +545,8 @@ def main(demo=False): pm.send('modelDataV2SP', mdv2sp_send) last_vipc_frame_id = meta_main.frame_id + if chestnut_state is not None and run_count % round(model.constants.MODEL_FREQ / SERVICE_LIST['chestnutState'].frequency) == 0: + chestnut_state.send() if __name__ == "__main__": try: diff --git a/openpilot/sunnypilot/modeld_v2/tests/helpers.py b/openpilot/sunnypilot/modeld_v2/tests/helpers.py index 6925a61f08..ee59e82785 100644 --- a/openpilot/sunnypilot/modeld_v2/tests/helpers.py +++ b/openpilot/sunnypilot/modeld_v2/tests/helpers.py @@ -6,7 +6,6 @@ See the LICENSE.md file in the root directory for more details. """ import pathlib -import pickle import tempfile import openpilot.sunnypilot.models.helpers as helpers @@ -164,14 +163,16 @@ ARCHETYPES = { def make_pkl_data(archetype): return { 'metadata': archetype.metadata_structure, - (CAM_W, CAM_H): {'run_policy': _noop_jit, 'warp_enqueue': _noop_jit}, + 'run_policy': _noop_jit, + (CAM_W, CAM_H): _noop_jit, } def write_pkl(tmp_path, archetype): + from openpilot.selfdrive.modeld.helpers import dump_oob pkl_path = tmp_path / 'driving_test_tinygrad.pkl' with open(pkl_path, 'wb') as f: - pickle.dump(make_pkl_data(archetype), f) + dump_oob(make_pkl_data(archetype), f) return pkl_path diff --git a/openpilot/sunnypilot/modeld_v2/tests/test_compile_modeld.py b/openpilot/sunnypilot/modeld_v2/tests/test_compile_modeld.py index 885696b853..96bfb42638 100644 --- a/openpilot/sunnypilot/modeld_v2/tests/test_compile_modeld.py +++ b/openpilot/sunnypilot/modeld_v2/tests/test_compile_modeld.py @@ -5,10 +5,15 @@ This file is part of sunnypilot and is licensed under the MIT License. See the LICENSE.md file in the root directory for more details. """ +import os +import tempfile +from pathlib import Path + import numpy as np from openpilot.common.parameterized import parameterized -from openpilot.sunnypilot.modeld_v2.compile_modeld import derive_frame_skip, _detect_desire_key +from openpilot.common.file_chunker import chunk_file, get_chunk_targets +from openpilot.sunnypilot.modeld_v2.compile_modeld import derive_frame_skip, _detect_desire_key, read_file_chunked_to_disk from openpilot.common.test import OpenpilotTestCase @@ -160,3 +165,33 @@ class TestOutputSlicePreservation(OpenpilotTestCase): policy_slices = {'plan': slice(0, 495), 'meta': slice(495, 550)} assert set(vision_slices.keys()) & set(policy_slices.keys()) == set(), \ "vision and policy slices should not overlap in keys" + + +class TestReadFileChunkedToDisk(OpenpilotTestCase): + def test_none_passthrough(self): + assert read_file_chunked_to_disk(None) is None + + def test_unchunked_source_staged_on_disk(self): + with tempfile.TemporaryDirectory() as d: + src = Path(d) / "driving_supercombo.onnx" + payload = os.urandom(1024) + src.write_bytes(payload) + + out = Path(read_file_chunked_to_disk(str(src))) + + assert out.parent == Path(d) + assert out.name == "driving_supercombo.onnx.unchunked" + assert out.read_bytes() == payload + + def test_chunked_source_reassembled_on_disk(self): + with tempfile.TemporaryDirectory() as d: + src = Path(d) / "driving_supercombo.onnx" + payload = os.urandom(4096) + src.write_bytes(payload) + chunk_file(str(src), get_chunk_targets(str(src), len(payload))) + assert not src.exists() + + out = Path(read_file_chunked_to_disk(str(src))) + + assert out.parent == Path(d) + assert out.read_bytes() == payload diff --git a/openpilot/sunnypilot/modeld_v2/tests/test_recovery_power.py b/openpilot/sunnypilot/modeld_v2/tests/test_recovery_power.py index 85305395ea..fb72022fa5 100644 --- a/openpilot/sunnypilot/modeld_v2/tests/test_recovery_power.py +++ b/openpilot/sunnypilot/modeld_v2/tests/test_recovery_power.py @@ -33,7 +33,7 @@ class TestRecoveryPower(OpenpilotTestCase): def mock_accel(plan_vel, plan_accel, t_idxs, action_t=0.0): recorded_vel.append(plan_vel.copy()) - return 0.0, False + return 0.0 def mock_curvature(output, plan, vego, lat_action_t, mlsim): recorded_curv_plans.append(plan.copy()) diff --git a/openpilot/sunnypilot/models/default_model.py b/openpilot/sunnypilot/models/default_model.py index 62b6831402..128426979b 100755 --- a/openpilot/sunnypilot/models/default_model.py +++ b/openpilot/sunnypilot/models/default_model.py @@ -3,8 +3,17 @@ import os import hashlib from openpilot.common.basedir import BASEDIR +from openpilot.selfdrive.ui.ui_state import ui_state from openpilot.sunnypilot import get_file_hash -from openpilot.sunnypilot.models.model_name import DEFAULT_MODEL +from openpilot.sunnypilot.models.model_name import DEFAULT_MODEL, DEFAULT_BIG_MODEL + + +def get_default_model() -> str: + show_big_model = (ui_state.usbgpu and ui_state.usbgpu_compiled + and (ui_state.usbgpu_active or ui_state.usbgpu_loading or ui_state.is_offroad())) + + return DEFAULT_BIG_MODEL if show_big_model else DEFAULT_MODEL + DEFAULT_MODEL_NAME_PATH = os.path.join(BASEDIR, "openpilot", "sunnypilot", "models", "model_name.py") MODEL_HASH_PATH = os.path.join(BASEDIR, "openpilot", "sunnypilot", "models", "tests", "model_hash") @@ -13,7 +22,6 @@ SUPERCOMBO_ONNX_PATH = os.path.join(BASEDIR, "openpilot", "selfdrive", "modeld", def update_model_hash(): supercombo_hash = get_file_hash(SUPERCOMBO_ONNX_PATH) - combined_hash = hashlib.sha256(supercombo_hash.encode()).hexdigest() with open(MODEL_HASH_PATH, "w") as f: @@ -22,40 +30,28 @@ def update_model_hash(): print(f"Generated and updated new combined model hash to {MODEL_HASH_PATH}") -def get_current_default_model_name(): - print("[GET DEFAULT MODEL NAME]") - name = DEFAULT_MODEL - print(f'Current default model name: "{name}"') - - return name - - -def update_default_model_name(name: str): - print("[CHANGE DEFAULT MODEL NAME]") +def update_default_model_names(default_model_name: str, default_big_model_name: str): + print("[CHANGE DEFAULT MODEL NAMES]") with open(DEFAULT_MODEL_NAME_PATH, "w") as f: - f.write(f'DEFAULT_MODEL = "{name}"\n') - print(f'New default model name: "{name}"') + f.write(f'DEFAULT_MODEL = "{default_model_name}"\n') + f.write(f'DEFAULT_BIG_MODEL = "{default_big_model_name}"\n') + + print(f'New default small model name: "{default_model_name}"') + print(f'New default big model name: "{default_big_model_name}"') print("[DONE]") if __name__ == "__main__": - parser = argparse.ArgumentParser(description="Update default model name and hash") - parser.add_argument("--new_name", type=str, help="New default model name") + parser = argparse.ArgumentParser(description="Update default model names and hash") + parser.add_argument("--new_small_model_name", type=str, help="New default small model name") + parser.add_argument("--new_big_model_name", type=str, help="New default big model name") args = parser.parse_args() - if not args.new_name: - print("Warning: No new default model name provided. Use --new_name to specify") - print("Default model name and hash will not be updated! (aborted)") - exit(0) + if args.new_small_model_name is None and args.new_big_model_name is None: + new_name = input(f'Enter new default small model name (current: "{DEFAULT_MODEL}", leave empty to keep): ').strip() + new_big_model_name = input(f'Enter new default big model name (current: "{DEFAULT_BIG_MODEL}", leave empty to keep): ').strip() + else: + new_name, new_big_model_name = args.new_small_model_name, args.new_big_model_name - current_name = get_current_default_model_name() - new_name = args.new_name - if current_name == new_name: - print(f'Proposed default model name: "{new_name}"') - confirm = input("Proposed default model name is the same as the current default model name. Confirm? (y/n): ").upper().strip() - if confirm != "Y": - print("Default model name and hash will not be updated! (aborted)") - exit(0) - - update_default_model_name(new_name) + update_default_model_names(new_name or DEFAULT_MODEL, new_big_model_name or DEFAULT_BIG_MODEL) update_model_hash() diff --git a/openpilot/sunnypilot/models/fetcher.py b/openpilot/sunnypilot/models/fetcher.py index eda1117a2a..b64e27b1ad 100644 --- a/openpilot/sunnypilot/models/fetcher.py +++ b/openpilot/sunnypilot/models/fetcher.py @@ -13,6 +13,7 @@ from openpilot.common.params import Params from openpilot.common.swaglog import cloudlog from openpilot.common.hardware.hw import Paths from openpilot.sunnypilot.models.helpers import is_bundle_version_compatible +from openpilot.selfdrive.modeld.helpers import usbgpu_present from openpilot.cereal import custom @@ -103,11 +104,11 @@ class ModelParser: class ModelCache: """Handles caching of model data to avoid frequent remote fetches""" - def __init__(self, params: Params, cache_timeout: int = int(3600 * 1e9)): + def __init__(self, params: Params, cache_timeout: int = int(3600 * 1e9), suffix: str = ""): self.params = params self.cache_timeout = cache_timeout - self._LAST_SYNC_KEY = "ModelManager_LastSyncTime" - self._CACHE_KEY = "ModelManager_ModelsCache" + self._LAST_SYNC_KEY = f"ModelManager_LastSyncTime{suffix}" + self._CACHE_KEY = f"ModelManager_ModelsCache{suffix}" def _is_expired(self) -> bool: """Checks if the cache has expired""" @@ -139,24 +140,37 @@ class ModelCache: class ModelFetcher: """Handles fetching and caching of model data from remote source""" - MODEL_URL = "https://raw.githubusercontent.com/sunnypilot/sunnypilot-models/refs/heads/gh-pages/docs/driving_models_v18.json" + MODEL_URL = "https://raw.githubusercontent.com/sunnypilot/sunnypilot-models/refs/heads/gh-pages/docs/driving_models_v20.json" + MODEL_URL_USBGPU = "https://raw.githubusercontent.com/sunnypilot/sunnypilot-models/refs/heads/gh-pages/docs/driving_models_usbgpu_v21.json" def __init__(self, params: Params): self.params = params - self.model_cache = ModelCache(params) self.model_parser = ModelParser() + self._is_usbgpu: bool | None = None + self.model_cache = ModelCache(params) + self.model_url = self.MODEL_URL + self._update_model_source() + + def _update_model_source(self) -> None: + """Updates what json to use based on usbgpu availability""" + is_usbgpu = usbgpu_present() + if is_usbgpu != self._is_usbgpu: + self._is_usbgpu = is_usbgpu + self.model_cache = ModelCache(self.params, suffix="_USBGPU" if is_usbgpu else "") + self.model_url = self.MODEL_URL_USBGPU if is_usbgpu else self.MODEL_URL + self.params.put("ModelManager_ActiveJson", self.model_url, block=True) def _fetch_and_cache_models(self) -> list[custom.ModelManagerSP.ModelBundle] | None: """Fetches fresh model data from remote and updates cache. Returns None on transport errors. Raises on 404 and other fatal HTTP errors. """ try: - response = requests.get(self.MODEL_URL, timeout=10) + response = requests.get(self.model_url, timeout=10) # Explicitly handle 404 differently if response.status_code == 404: - cloudlog.error(f"Models URL returned 404 Not Found: {self.MODEL_URL}") - raise HTTPError(f"404 Not Found: {self.MODEL_URL}", response=response) + cloudlog.error(f"Models URL returned 404 Not Found: {self.model_url}") + raise HTTPError(f"404 Not Found: {self.model_url}", response=response) # Raise for any other 4xx/5xx response.raise_for_status() @@ -179,6 +193,7 @@ class ModelFetcher: def get_available_bundles(self) -> list[custom.ModelManagerSP.ModelBundle]: """Gets the list of available models, with smart cache handling""" + self._update_model_source() cached_data, is_expired = self.model_cache.get() if cached_data and not is_expired: @@ -202,10 +217,7 @@ if __name__ == "__main__": for bundle in bundles: for model in bundle.models: model_overrides = {override.key: override.value for override in bundle.overrides} - # Print model details print(f"Bundle: {bundle.internalName}, Type: {model.type}, Status: {bundle.status}, Overrides: {model_overrides}") - # Print artifact details print(f"Artifact: {model.artifact.fileName}, Download URI: {model.artifact.downloadUri.uri}") - # Print metadata details if model.artifact.chunks: print(f"Contains {len(model.artifact.chunks)} chunks.") diff --git a/openpilot/sunnypilot/models/helpers.py b/openpilot/sunnypilot/models/helpers.py index 101d8d196e..b5c97467d3 100644 --- a/openpilot/sunnypilot/models/helpers.py +++ b/openpilot/sunnypilot/models/helpers.py @@ -18,7 +18,7 @@ from openpilot.sunnypilot.models.constants import Meta, MetaSimPose, MetaTombRai from openpilot.common.hardware.hw import Paths # SET ME TO THE EXACT JSON VERSION WE SET IN SUNNYPILOT_MODELS REPO -REQUIRED_JSON_VERSION = 16 +REQUIRED_JSON_VERSION = 17 CUSTOM_MODEL_PATH = Paths.model_root() METADATA_PATH = Path(__file__).parent / '../models/supercombo_metadata.pkl' diff --git a/openpilot/sunnypilot/models/model_name.py b/openpilot/sunnypilot/models/model_name.py index 02a6c2bac2..374e8473df 100644 --- a/openpilot/sunnypilot/models/model_name.py +++ b/openpilot/sunnypilot/models/model_name.py @@ -1 +1,2 @@ DEFAULT_MODEL = "CD210" +DEFAULT_BIG_MODEL = "Lebowski" diff --git a/openpilot/sunnypilot/models/tests/test_default_model.py b/openpilot/sunnypilot/models/tests/test_default_model.py index 450237e0e9..b72c2b4c89 100644 --- a/openpilot/sunnypilot/models/tests/test_default_model.py +++ b/openpilot/sunnypilot/models/tests/test_default_model.py @@ -20,4 +20,4 @@ class TestDefaultModel(OpenpilotTestCase): with open(MODEL_HASH_PATH) as f: current_hash = f.read().strip() - assert combined_hash == current_hash, "Run sunnypilot/models/default_model.py to update the default model name and hash" + assert combined_hash == current_hash, "Run openpilot/sunnypilot/models/default_model.py to update the default model name and hash" diff --git a/openpilot/sunnypilot/models/tests/test_tinygrad_ref.py b/openpilot/sunnypilot/models/tests/test_tinygrad_ref.py index 1712c60410..fd389f93c0 100644 --- a/openpilot/sunnypilot/models/tests/test_tinygrad_ref.py +++ b/openpilot/sunnypilot/models/tests/test_tinygrad_ref.py @@ -1,12 +1,13 @@ import requests +from openpilot.common.params import Params from openpilot.sunnypilot.models.tinygrad_ref import get_tinygrad_ref from openpilot.sunnypilot.models.fetcher import ModelFetcher from openpilot.common.test import OpenpilotTestCase - def fetch_tinygrad_ref(): - response = requests.get(ModelFetcher.MODEL_URL, timeout=10) + fetcher = ModelFetcher(Params()) + response = requests.get(fetcher.model_url, timeout=10) response.raise_for_status() json_data = response.json() return json_data.get("tinygrad_ref") diff --git a/openpilot/sunnypilot/selfdrive/controls/lib/dec/tests/test_dec_planner_gate.py b/openpilot/sunnypilot/selfdrive/controls/lib/dec/tests/test_dec_planner_gate.py new file mode 100644 index 0000000000..1f5c577028 --- /dev/null +++ b/openpilot/sunnypilot/selfdrive/controls/lib/dec/tests/test_dec_planner_gate.py @@ -0,0 +1,112 @@ +""" +Copyright (c) 2021-, Haibin Wen, sunnypilot, and a number of other contributors. + +This file is part of sunnypilot and is licensed under the MIT License. +See the LICENSE.md file in the root directory for more details. +""" +from typing import cast + +from openpilot.cereal import custom, messaging +from opendbc.car import structs +from openpilot.common.test import OpenpilotTestCase +from openpilot.selfdrive.controls.lib.longitudinal_planner import LongitudinalPlanner, LongitudinalPlanSource +from openpilot.sunnypilot.selfdrive.controls.lib.dec.dec import DynamicExperimentalController + +V_EGO = 20.0 +E2E_ACCEL = -3.0 # low enough that e2e wins the min() whenever it is a candidate + + +class MockDec: + def __init__(self, active: bool, mode: str): + self._active = active + self._mode = mode + + def update(self, sm): + pass + + def active(self) -> bool: + return self._active + + def mode(self) -> str: + return self._mode + + def enabled(self) -> bool: + return True + + +class MockSubMaster(dict): + def __init__(self, services: dict): + super().__init__(services) + self.valid = dict.fromkeys(services, True) + self.logMonoTime = dict.fromkeys(services, 0) + self.updated = dict.fromkeys(services, True) + self.recv_frame = dict.fromkeys(services, 1) + + def all_checks(self, service_list=None) -> bool: + return True + + +def build_sm(experimental_mode: bool) -> MockSubMaster: + services = {} + for service in ("radarState", "controlsState", "vehicleParameters", "carStateSP", + "liveMapDataSP", "gpsLocationExternal", "gpsLocation"): + services[service] = getattr(messaging.new_message(service), service) + + car_state = messaging.new_message('carState') + car_state.carState.vEgo = V_EGO + car_state.carState.vCruise = 100.0 + car_state.carState.vCruiseCluster = 100.0 + services['carState'] = car_state.carState.as_reader() + + selfdrive_state = messaging.new_message('selfdriveState') + selfdrive_state.selfdriveState.experimentalMode = experimental_mode + selfdrive_state.selfdriveState.enabled = True + services['selfdriveState'] = selfdrive_state.selfdriveState.as_reader() + + car_control = messaging.new_message('carControl') + car_control.carControl.enabled = True + services['carControl'] = car_control.carControl.as_reader() + + model = messaging.new_message('modelV2') + model.modelV2.orientationRate.z = [0.01] * 33 # nonzero: a straight path divides by zero in SCC vision + model.modelV2.velocity.x = [V_EGO] * 33 + model.modelV2.position.x = [float(i) for i in range(33)] + model.modelV2.action.desiredAcceleration = E2E_ACCEL + services['modelV2'] = model.modelV2.as_reader() + + return MockSubMaster(services) + + +def build_planner(dec_active: bool, dec_mode: str) -> LongitudinalPlanner: + CP = structs.CarParams() + CP.steerRatio = 15.0 + CP.wheelbase = 2.7 + CP.longitudinalActuatorDelay = 0.2 + CP_SP = custom.CarParamsSP.new_message().as_reader() + + planner = LongitudinalPlanner(CP, CP_SP, init_v=V_EGO) + planner.dec = cast(DynamicExperimentalController, MockDec(dec_active, dec_mode)) + return planner + + +class TestDecPlannerGate(OpenpilotTestCase): + """The e2e candidate must be gated on is_e2e(), not raw experimentalMode.""" + + def _source(self, experimental_mode: bool, dec_active: bool, dec_mode: str) -> LongitudinalPlanSource: + planner = build_planner(dec_active, dec_mode) + planner.update(build_sm(experimental_mode)) + return planner.mpc.source + + def test_no_e2e_when_experimental_mode_off(self): + assert self._source(False, False, 'acc') != LongitudinalPlanSource.e2e + + def test_e2e_when_dec_inactive(self): + # DEC off: behavior must match upstream + assert self._source(True, False, 'acc') == LongitudinalPlanSource.e2e + + def test_e2e_when_dec_blended(self): + assert self._source(True, True, 'blended') == LongitudinalPlanSource.e2e + + def test_no_e2e_when_dec_holds_acc(self): + # the regression + assert self._source(True, True, 'acc') != LongitudinalPlanSource.e2e diff --git a/openpilot/sunnypilot/sunnylink/athena/sunnylinkd.py b/openpilot/sunnypilot/sunnylink/athena/sunnylinkd.py index ac168db7d8..c0534a76bf 100755 --- a/openpilot/sunnypilot/sunnylink/athena/sunnylinkd.py +++ b/openpilot/sunnypilot/sunnylink/athena/sunnylinkd.py @@ -28,7 +28,7 @@ from websocket import (ABNF, WebSocket, WebSocketException, WebSocketTimeoutExce create_connection, WebSocketConnectionClosedException) import openpilot.cereal.messaging as messaging -from openpilot.sunnypilot.models.default_model import DEFAULT_MODEL +from openpilot.sunnypilot.models.default_model import get_default_model from openpilot.sunnypilot.selfdrive.car.sync_sunnylink_params import update_car_list_param from openpilot.sunnypilot.sunnylink.api import SunnylinkApi from openpilot.sunnypilot.sunnylink.utils import sunnylink_need_register, sunnylink_ready, get_param_as_byte, save_param_from_base64_encoded_string @@ -181,7 +181,7 @@ def getParamsMetadata() -> str: schema = generate_schema() schema["capabilities"] = generate_capabilities() schema["capability_labels"] = CAPABILITY_LABELS - schema["default_model"] = DEFAULT_MODEL + schema["default_model"] = get_default_model() raw = json.dumps(schema, separators=(",", ":")).encode("utf-8") return base64.b64encode(gzip.compress(raw)).decode("utf-8") except Exception: diff --git a/openpilot/system/hardware/chestnut/flash.py b/openpilot/system/hardware/chestnut/flash.py index 32aa5a443a..f0d828031d 100755 --- a/openpilot/system/hardware/chestnut/flash.py +++ b/openpilot/system/hardware/chestnut/flash.py @@ -33,6 +33,7 @@ USBDEVFS_SETCONFIGURATION = 0x80045505 USBDEVFS_CLAIMINTERFACE = 0x8004550F USBDEVFS_RESET = 0x5514 USBDEVFS_CLEAR_HALT = 0x80045515 +MAX_REGISTER_READ_SIZE = 255 _deadline = float("inf") @@ -146,6 +147,7 @@ def claim_interface(path, setup=False): class Flash: def __init__(self): self.fd = -1 + self.max_register_read_size = MAX_REGISTER_READ_SIZE def close(self): if self.fd >= 0: @@ -160,6 +162,9 @@ class Flash: if in_rom_bootloader(vid_pid, product): raise RomFallback("chestnut fell back to the ROM bootloader") if path is not None: + speed = int(open(path + "/speed").read()) + # USB2 firmware truncates larger reads to one full packet without a terminating ZLP. + self.max_register_read_size = 64 if speed < 5000 else MAX_REGISTER_READ_SIZE self.fd = claim_interface(path) return time.sleep(0.1) @@ -231,8 +236,8 @@ class Flash: while len(out) < length: n = min(4096, length - len(out)) self.transaction(0x03, addr + len(out), max(4096, n)) - for off in range(0, n, 255): - out += self.reg_read(0x7000 + off, min(255, n - off)) + for off in range(0, n, self.max_register_read_size): + out += self.reg_read(0x7000 + off, min(self.max_register_read_size, n - off)) return bytes(out) def erase_sector(self, addr): diff --git a/openpilot/system/hardware/hardwared.py b/openpilot/system/hardware/hardwared.py index eef5db2b78..8aed8be5b9 100755 --- a/openpilot/system/hardware/hardwared.py +++ b/openpilot/system/hardware/hardwared.py @@ -16,6 +16,7 @@ from openpilot.common.utils import strip_deprecated_keys from openpilot.common.filter_simple import FirstOrderFilter from openpilot.common.params import Params from openpilot.common.realtime import DT_HW +from openpilot.selfdrive.modeld.helpers import MODELS_DIR, usbgpu_compiled from openpilot.selfdrive.selfdrived.alertmanager import set_offroad_alert from openpilot.common.hardware import HARDWARE, COMMA_HARDWARE from openpilot.common.basedir import BASEDIR @@ -26,7 +27,7 @@ from openpilot.common.swaglog import cloudlog from openpilot.sunnypilot.system.statsd import statlog from openpilot.system.hardware.power_monitoring import PowerMonitoring from openpilot.system.hardware.fan_controller import FanController -from openpilot.common.version import terms_version, training_version, get_build_metadata, terms_version_sp +from openpilot.common.version import terms_version, training_version, get_build_metadata, terms_version_sp, CHESTNUT_BRANCHES ThermalStatus = log.DeviceState.ThermalStatus @@ -238,6 +239,7 @@ def hardware_thread(end_event, hw_queue) -> None: fan_controller = FanController(int(1./DT_HW)) chestnut = Chestnut() + big_model_available = (MODELS_DIR / 'big_driving_supercombo.onnx').is_file() or usbgpu_compiled() while not end_event.is_set(): sm.update(PANDA_STATES_TIMEOUT) @@ -299,6 +301,11 @@ def hardware_thread(end_event, hw_queue) -> None: set_usb_state(msg.deviceState, last_hw_state.usb_state) chestnut.update(started_ts is None, last_hw_state.usb_state) + current_channel = get_build_metadata().channel + chestnut_target = CHESTNUT_BRANCHES.get(current_channel) + chestnut_needs_switch = msg.deviceState.chestnutPresent and not big_model_available and chestnut_target is not None + set_offroad_alert_if_changed("Offroad_ChestnutBranch", chestnut_needs_switch, + extra_text=chestnut_target if chestnut_needs_switch else None) # this subset is only used for offroad temp_sources = [ diff --git a/openpilot/system/loggerd/logger.cc b/openpilot/system/loggerd/logger.cc index e8aeb96d02..f8f94c4b71 100644 --- a/openpilot/system/loggerd/logger.cc +++ b/openpilot/system/loggerd/logger.cc @@ -14,7 +14,7 @@ #include "sunnypilot/common/version.h" // ***** log metadata ***** -kj::Array logger_build_init_data() { +kj::Array logger_build_init_data(bool route_log) { uint64_t wall_time = nanos_since_epoch(); MessageBuilder msg; @@ -72,7 +72,7 @@ kj::Array logger_build_init_data() { "df -h", // usage for all filesystems }; - auto hw_logs = Hardware::get_init_logs(); + auto hw_logs = Hardware::get_init_logs(route_log); auto commands = init.initCommands().initEntries(log_commands.size() + hw_logs.size()); for (int i = 0; i < log_commands.size(); i++) { @@ -166,7 +166,7 @@ static void log_sentinel(LoggerState *log, SentinelType type, int exit_signal = LoggerState::LoggerState(const std::string &log_root) { route_name = logger_get_identifier("RouteCount"); route_path = log_root + "/" + route_name; - init_data = logger_build_init_data(); + init_data = logger_build_init_data(true); } LoggerState::~LoggerState() { diff --git a/openpilot/system/loggerd/logger.h b/openpilot/system/loggerd/logger.h index 419becfe5d..17c29d1a02 100644 --- a/openpilot/system/loggerd/logger.h +++ b/openpilot/system/loggerd/logger.h @@ -32,6 +32,6 @@ protected: std::unique_ptr rlog, qlog; }; -kj::Array logger_build_init_data(); +kj::Array logger_build_init_data(bool route_log = false); std::string logger_get_identifier(std::string key); std::string zstd_decompress(const std::string &in); diff --git a/openpilot/system/manager/github_runner.sh b/openpilot/system/manager/github_runner.sh deleted file mode 100755 index f2170cfc70..0000000000 --- a/openpilot/system/manager/github_runner.sh +++ /dev/null @@ -1,40 +0,0 @@ -#!/usr/bin/env bash - -# Define the service name -SERVICE_NAME="actions.runner.sunnypilot.$(uname -n)" - -# Function to control the service -control_service() { - local action=$1 # Store the function argument in a local variable - sudo systemctl $action ${SERVICE_NAME} -} - -service_exists_and_is_loaded() { - sudo systemctl status ${SERVICE_NAME} &>/dev/null - if [[ $? -ne 4 ]]; then - return 0 # Service is known to systemd (i.e., loaded) - else - return 1 # Service is unknown to systemd (i.e., not loaded) - fi -} - -# Check for required argument -if [[ -z $1 ]] || { [[ $1 != "start" ]] && [[ $1 != "stop" ]]; }; then - echo "Usage: $0 {start|stop}" - exit 1 -fi - -# Store the script argument in a descriptive variable -ACTION=$1 - -# Trap EXIT signal (Ctrl+C) and stop the service -trap 'control_service stop ; exit' SIGINT SIGKILL EXIT - -# Enter the main loop -while true; do - # Check if the service is actually present on the system - if service_exists_and_is_loaded; then - control_service $ACTION # Call the function with the specified action - fi - sleep 1 # Pause before the next iteration -done \ No newline at end of file diff --git a/openpilot/system/manager/process_config.py b/openpilot/system/manager/process_config.py index c9e939c432..ceea3f8847 100644 --- a/openpilot/system/manager/process_config.py +++ b/openpilot/system/manager/process_config.py @@ -68,10 +68,6 @@ def only_offroad(started: bool, params: Params, CP: car.CarParams) -> bool: def livestream(started: bool, params: Params, CP: car.CarParams) -> bool: return params.get_bool("IsLiveStreaming") -def use_github_runner(started, params, CP: car.CarParams) -> bool: - return not PC and params.get_bool("EnableGithubRunner") and ( - not params.get_bool("NetworkMetered") and not params.get_bool("GithubRunnerSufficientVoltage")) - def use_copyparty(started, params, CP: car.CarParams) -> bool: return bool(params.get_bool("EnableCopyparty")) @@ -189,10 +185,6 @@ procs += [ NativeProcess("locationd_llk", "openpilot/sunnypilot/selfdrive/locationd", ["./locationd"], only_onroad), ] -if os.path.exists("./github_runner.sh"): - procs += [NativeProcess("github_runner_start", "openpilot/system/manager", - ["./github_runner.sh", "start"], and_(only_offroad, use_github_runner), sigkill=False)] - if os.path.exists("../../sunnypilot/sunnylink/uploader.py"): procs += [PythonProcess("sunnylink_uploader", "openpilot.sunnypilot.sunnylink.uploader", use_sunnylink_uploader_shim)] diff --git a/openpilot/system/ubloxd/pigeond.py b/openpilot/system/ubloxd/pigeond.py index 3da9350241..08ed568d43 100755 --- a/openpilot/system/ubloxd/pigeond.py +++ b/openpilot/system/ubloxd/pigeond.py @@ -3,11 +3,12 @@ import sys import time import signal import struct +import threading import requests import urllib.parse from datetime import datetime, UTC -from openpilot.cereal import messaging +from openpilot.cereal import log, messaging from openpilot.common.api import Api from openpilot.common.time_helpers import system_time_valid from openpilot.common.params import Params @@ -46,7 +47,6 @@ def get_assistnow_messages() -> list[bytes]: params = Params() if token := params.get('AssistNowToken'): cloudlog.warning("Downloading AssistNow data directly from u-blox") - # TODO: implement adding the last known location r = requests.get("https://online-live2.services.u-blox.com/GetOnlineData.ashx", params=urllib.parse.urlencode({ 'token': token, 'gnss': 'gps,glo', @@ -240,14 +240,6 @@ def init_pigeon(pigeon: TTYPigeon) -> bool: )) pigeon.send_with_ack(msg, ack=UBLOX_ASSIST_ACK) - # A configured u-blox token takes precedence over comma's AGPS proxy. - try: - for msg in get_assistnow_messages(): - pigeon.send_with_ack(msg, ack=UBLOX_ASSIST_ACK) - cloudlog.warning("AssistNow messages sent") - except Exception: - cloudlog.warning("failed to get AssistNow messages") - cloudlog.warning("Pigeon GPS on!") break except TimeoutError: @@ -287,12 +279,38 @@ def run_receiving(duration: int = 0): start_time = time.monotonic() last_almanac_save = time.monotonic() + assist_attempted = False + assist_messages = None + + def download_assistnow() -> None: + nonlocal assist_messages + sm = messaging.SubMaster(['deviceState']) + while assist_messages is None: + sm.update(1000) + if system_time_valid() and sm['deviceState'].networkType != log.DeviceState.NetworkType.none: + try: + assist_messages = get_assistnow_messages() + except Exception: + cloudlog.warning("failed to get AssistNow messages") + time.sleep(10.) + threading.Thread(target=download_assistnow, daemon=True).start() + while (duration == 0) or (time.monotonic() - start_time < duration): + if assist_messages is not None and not assist_attempted: + assist_attempted = True + try: + for msg in assist_messages: + pigeon.send_with_ack(msg, ack=UBLOX_ASSIST_ACK) + cloudlog.warning("AssistNow messages sent") + except Exception: + cloudlog.warning("failed to send AssistNow messages") + dat = pigeon.receive() if len(dat) > 0: if dat[0] == 0x00: cloudlog.warning("received invalid data from ublox, re-initing!") init(pigeon) + assist_attempted = False continue # send out to socket diff --git a/openpilot/system/ui/sunnypilot/lib/utils.py b/openpilot/system/ui/sunnypilot/lib/utils.py index ecaba86f4b..b9ed152aff 100644 --- a/openpilot/system/ui/sunnypilot/lib/utils.py +++ b/openpilot/system/ui/sunnypilot/lib/utils.py @@ -4,7 +4,15 @@ Copyright (c) 2021-, Haibin Wen, sunnypilot, and a number of other contributors. This file is part of sunnypilot and is licensed under the MIT License. See the LICENSE.md file in the root directory for more details. """ +from collections.abc import Callable + +import pyray as rl + +from openpilot.system.ui.lib.application import FontWeight +from openpilot.system.ui.sunnypilot.lib.styles import style from openpilot.system.ui.sunnypilot.widgets.list_view import ButtonActionSP +from openpilot.system.ui.widgets.label import UnifiedLabel +from openpilot.system.ui.widgets.list_view import BUTTON_WIDTH, BUTTON_HEIGHT, TEXT_PADDING, _resolve_value class NoElideButtonAction(ButtonActionSP): @@ -12,6 +20,38 @@ class NoElideButtonAction(ButtonActionSP): return super().get_width_hint() + 1 +class ScrollingButtonAction(ButtonActionSP): + """ButtonActionSP whose value scrolls instead of eliding when it doesn't fit.""" + + def __init__(self, text: str | Callable[[], str], width: int = style.BUTTON_ACTION_WIDTH, + enabled: bool | Callable[[], bool] = True): + super().__init__(text=text, width=width, enabled=enabled) + self._value_label = UnifiedLabel("", font_size=style.ITEM_TEXT_FONT_SIZE, font_weight=FontWeight.NORMAL, + text_color=self._value_color, scroll=True, + alignment_vertical=rl.GuiTextAlignmentVertical.TEXT_ALIGN_MIDDLE) + + def set_value(self, value: str | Callable[[], str], color: rl.Color = style.ITEM_TEXT_VALUE_COLOR): + if self.value != _resolve_value(value, ""): + self._value_label.reset_scroll() + super().set_value(value, color) + self._value_label.set_text(value) + self._value_label.set_text_color(color) + + def _render(self, rect: rl.Rectangle) -> bool: + """Duplicate of ButtonActionSP._render, with the value drawn by a scrolling label""" + self._button.set_text(self.text) + self._button.set_enabled(_resolve_value(self.enabled)) + button_rect = rl.Rectangle(rect.x + rect.width - BUTTON_WIDTH, rect.y + (rect.height - BUTTON_HEIGHT) / 2, BUTTON_WIDTH, BUTTON_HEIGHT) + self._button.render(button_rect) + + if self.value: + self._value_label.render(rl.Rectangle(rect.x, rect.y, rect.width - BUTTON_WIDTH - TEXT_PADDING, rect.height)) + + pressed = self._pressed + self._pressed = False + return pressed + + class AlertFadeAnimator: def __init__(self, target_fps: int, duration_on: float = 0.75, rc: float = 0.05): from openpilot.common.filter_simple import FirstOrderFilter diff --git a/openpilot/system/ui/sunnypilot/widgets/download_status.py b/openpilot/system/ui/sunnypilot/widgets/download_status.py new file mode 100644 index 0000000000..b299c464f1 --- /dev/null +++ b/openpilot/system/ui/sunnypilot/widgets/download_status.py @@ -0,0 +1,166 @@ +""" +Copyright (c) 2021-, Haibin Wen, sunnypilot, and a number of other contributors. + +This file is part of sunnypilot and is licensed under the MIT License. +See the LICENSE.md file in the root directory for more details. +""" +import math + +import numpy as np +import pyray as rl + +from openpilot.common.filter_simple import FirstOrderFilter +from openpilot.system.ui.lib.application import gui_app, FontWeight +from openpilot.system.ui.lib.shader_polygon import draw_polygon, Gradient +from openpilot.system.ui.lib.text_measure import measure_text_cached +from openpilot.system.ui.sunnypilot.lib.styles import style +from openpilot.system.ui.sunnypilot.widgets.list_view import ListItemSP +from openpilot.system.ui.widgets.label import UnifiedLabel +from openpilot.system.ui.widgets.list_view import ItemAction + +FONT_SIZE = style.ITEM_TEXT_FONT_SIZE +ICON_SIZE = 56 +ICON_PADDING = 12 + +BAR_WIDTH = 1100 +BAR_HEIGHT = 20 +BAR_GAP = 16 +BAR_RADIUS = BAR_HEIGHT / 2 +CAPSULE_POINTS = 24 + +RAIL_COLOR = rl.Color(60, 60, 60, 255) +FILL_COLOR = rl.Color(30, 121, 232, 255) +# rl.WHITE is a tuple; the shimmer path reads .a off the color +TEXT_COLOR = rl.Color(255, 255, 255, 255) + +SWEEP_SPEED = 550.0 # px/s +SWEEP_BAND = 240.0 # highlight half-width, px +SWEEP_DIM = 0.65 + + +class DownloadStatusAction(ItemAction): + """Model download row: a name + percent over a progress rail while downloading, a name + icon otherwise.""" + + def __init__(self): + super().__init__(width=BAR_WIDTH) + self.name = "" + self.status_text = "" + self.downloading = False + self.text_color = rl.GRAY + self.icon: str | None = None + self.icon_color: rl.Color | None = None + self._font = gui_app.font(FontWeight.NORMAL) + # raw progress arrives in steps, one per 128KB chunk the manager publishes + self._progress = FirstOrderFilter(0.0, 0.5, 1 / gui_app.target_fps) + # integrated per frame; (t * speed) % span jumps whenever the fill width changes + self._sweep = 0.0 + + self._name_label = UnifiedLabel("", font_size=FONT_SIZE, font_weight=FontWeight.NORMAL, text_color=TEXT_COLOR, + alignment=rl.GuiTextAlignment.TEXT_ALIGN_LEFT, + alignment_vertical=rl.GuiTextAlignmentVertical.TEXT_ALIGN_MIDDLE) + self._percent_label = UnifiedLabel("", font_size=FONT_SIZE, font_weight=FontWeight.NORMAL, text_color=TEXT_COLOR, + alignment=rl.GuiTextAlignment.TEXT_ALIGN_RIGHT, + alignment_vertical=rl.GuiTextAlignmentVertical.TEXT_ALIGN_MIDDLE) + + def update(self, name, downloading=False, progress=0.0, status_text="", text_color=rl.GRAY, icon=None, icon_color=None): + if downloading and not self.downloading: + self._name_label.reset_shimmer() + self._progress.x = progress + self._sweep = 0.0 + self.name = name + self.downloading = downloading + self.status_text = status_text + self.text_color = text_color + self.icon = icon + self.icon_color = icon_color + self._name_label._shimmer = downloading + if downloading: + self._progress.update(progress) + self._sweep += SWEEP_SPEED / gui_app.target_fps + + @property + def _idle_text(self) -> str: + return f"{self.name} - {self.status_text}" if self.status_text else self.name + + def get_width_hint(self) -> float: + if self.downloading: + return BAR_WIDTH + width = measure_text_cached(self._font, self._idle_text, FONT_SIZE).x + if self.icon: + width += ICON_SIZE + ICON_PADDING + return width + + def _render(self, rect: rl.Rectangle): + if self.downloading: + self._render_downloading(rect) + else: + self._render_idle(rect) + + def _sweep_gradient(self, width: float) -> Gradient: + # clearance at both ends keeps the wrap offscreen + center = (self._sweep % (width + 2 * SWEEP_BAND)) - SWEEP_BAND + + def band(x: float) -> float: + return max(0.0, 1.0 - abs(x - center) / SWEEP_BAND) + + # sampling the corners is exact for a piecewise linear band + xs = sorted({0.0, width} | {min(max(center + o, 0.0), width) for o in (-SWEEP_BAND, 0.0, SWEEP_BAND)}, reverse=True) + # the gradient axis runs right-to-left in screen space + stops = [1.0 - x / width for x in xs] + # alpha here is the lift over the SWEEP_DIM base, not the final opacity + colors = [rl.Color(FILL_COLOR.r, FILL_COLOR.g, FILL_COLOR.b, int(255 * band(x))) for x in xs] + return Gradient(start=(0.0, 0.0), end=(1.0, 0.0), colors=colors, stops=stops) + + @staticmethod + def _capsule(rect: rl.Rectangle) -> np.ndarray: + """Rounded-end ribbon so the gradient covers the caps.""" + r = rect.height / 2 + cy = rect.y + r + top, bottom = [], [] + for i in range(CAPSULE_POINTS): + x = rect.x + rect.width * i / (CAPSULE_POINTS - 1) + d = min(x - rect.x, rect.x + rect.width - x, r) + h = math.sqrt(max(r * r - (r - d) ** 2, 0.0)) + top.append((x, cy - h)) + bottom.append((x, cy + h)) + return np.array(top + bottom[::-1], dtype=np.float32) + + def _draw_fill(self, rail: rl.Rectangle, fill_width: float): + if fill_width <= 0: + return + fill = rl.Rectangle(rail.x, rail.y, fill_width, rail.height) + rl.draw_rectangle_rounded(fill, 1.0, 10, rl.Color(FILL_COLOR.r, FILL_COLOR.g, FILL_COLOR.b, int(255 * SWEEP_DIM))) + draw_polygon(fill, self._capsule(fill), gradient=self._sweep_gradient(fill_width)) + + def _render_downloading(self, rect: rl.Rectangle): + percent = f"{int(self._progress.x)}%" + text_height = measure_text_cached(self._font, percent, FONT_SIZE).y + top = rect.y + (rect.height - (text_height + BAR_GAP + BAR_HEIGHT)) / 2 + + text_rect = rl.Rectangle(rect.x, top, rect.width, text_height) + self._name_label.set_text(self.name) + self._name_label.render(text_rect) + self._percent_label.set_text(percent) + self._percent_label.render(text_rect) + + rail = rl.Rectangle(rect.x, top + text_height + BAR_GAP, rect.width, BAR_HEIGHT) + rl.draw_rectangle_rounded(rail, 1.0, 10, RAIL_COLOR) + self._draw_fill(rail, max(0.0, min(rect.width, rect.width * (self._progress.x / 100.0)))) + + def _render_idle(self, rect: rl.Rectangle): + text = self._idle_text + text_size = measure_text_cached(self._font, text, FONT_SIZE) + right = rect.x + rect.width + + if self.icon: + texture = gui_app.texture(self.icon, ICON_SIZE, ICON_SIZE, keep_aspect_ratio=True) + rl.draw_texture_v(texture, rl.Vector2(right - texture.width, rect.y + (rect.height - texture.height) / 2), + self.icon_color or self.text_color) + right -= texture.width + ICON_PADDING + + rl.draw_text_ex(self._font, text, rl.Vector2(right - text_size.x, rect.y + (rect.height - text_size.y) / 2), + FONT_SIZE, 0, self.text_color) + + +def download_status_item(title): + return ListItemSP(title=title, action_item=DownloadStatusAction(), title_color=style.ITEM_TEXT_COLOR) diff --git a/openpilot/system/updated/updated.py b/openpilot/system/updated/updated.py index dd2f71f30d..62fa10ec9e 100755 --- a/openpilot/system/updated/updated.py +++ b/openpilot/system/updated/updated.py @@ -207,13 +207,10 @@ def handle_agnos_update() -> None: set_consistent_flag(False) cloudlog.info(f"Beginning background installation for AGNOS {updated_version}") - set_offroad_alert("Offroad_NeosUpdate", True) manifest_path = os.path.join(OVERLAY_MERGED, "openpilot/system/hardware/comma/agnos.json") target_slot_number = get_target_slot_number() flash_agnos_update(manifest_path, target_slot_number, cloudlog) - set_offroad_alert("Offroad_NeosUpdate", False) - class Updater: diff --git a/openpilot/system/webrtc/tests/test_stream_session.py b/openpilot/system/webrtc/tests/test_stream_session.py index d64cf6aed6..03d540c3c2 100644 --- a/openpilot/system/webrtc/tests/test_stream_session.py +++ b/openpilot/system/webrtc/tests/test_stream_session.py @@ -7,7 +7,7 @@ from openpilot.common.test import OpenpilotTestCase from openpilot.cereal import messaging, log from teleoprtc.tracks import VIDEO_CLOCK_RATE -from openpilot.system.webrtc.webrtcd import CerealOutgoingMessageProxy, CerealIncomingMessageProxy +from openpilot.system.webrtc.webrtcd import CerealOutgoingMessageProxy, CerealIncomingMessageProxy, ServerState, handle_get_stream from openpilot.system.webrtc.device.video import LiveStreamVideoStreamTrack @@ -80,3 +80,8 @@ class TestStreamSession(OpenpilotTestCase): start_pts = packet.pts assert abs(i + packet.pts - (start_pts + (((time.monotonic_ns() - start_ns) * VIDEO_CLOCK_RATE) // 1_000_000_000))) < 450 #5ms assert bytes(packet) == b"" + + def test_stream_rejects_non_json_content_type(self): + response = self.loop.run_until_complete(handle_get_stream(ServerState(), b"{}", "text/plain")) + + assert response == (415, b'{"error": "unsupported media type"}', "application/json; charset=utf-8") diff --git a/openpilot/system/webrtc/webrtcd.py b/openpilot/system/webrtc/webrtcd.py index 8e022eda1c..3c0c3037f3 100755 --- a/openpilot/system/webrtc/webrtcd.py +++ b/openpilot/system/webrtc/webrtcd.py @@ -395,7 +395,10 @@ def _text_response(text: str, status: int = 200) -> tuple[int, bytes, str]: return (status, text.encode(), "text/plain; charset=utf-8") -async def handle_get_stream(state: ServerState, raw_body: bytes) -> tuple[int, bytes, str]: +async def handle_get_stream(state: ServerState, raw_body: bytes, content_type: str) -> tuple[int, bytes, str]: + if content_type != "application/json": + return _json_response({"error": "unsupported media type"}, status=415) + stream_dict = state.streams body = StreamRequestBody(**json.loads(raw_body)) @@ -508,7 +511,7 @@ class WebrtcdHandler(BaseHTTPRequestHandler): services = parse_qs(parsed.query).get("services", [""])[0] result = self._run(handle_get_schema(self.server.state, services)) elif parsed.path == "/stream": - result = self._run(handle_get_stream(self.server.state, self._read_body())) + result = self._run(handle_get_stream(self.server.state, self._read_body(), self.headers.get_content_type())) else: # /notify try: payload = json.loads(self._read_body()) @@ -611,7 +614,7 @@ def webrtcd_thread(host: str, port: int): def main(): parser = argparse.ArgumentParser(description="WebRTC daemon") - parser.add_argument("--host", type=str, default="0.0.0.0", help="Host to listen on") + parser.add_argument("--host", type=str, default="127.0.0.1", help="Host to listen on") parser.add_argument("--port", type=int, default=5001, help="Port to listen on") args = parser.parse_args() diff --git a/pyproject.toml b/pyproject.toml index dcc1024479..6a13796d70 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -21,7 +21,7 @@ dependencies = [ "tqdm", # cars (fw_versions.py) on start + many one-off uses # core - "scons", + "scons==4.10.1", # 4.11 removed the qt3 tool still used to build Cabana "pycapnp==2.1.0", # 2.2 introduces a memory leak due to cyclic references "numpy >=2.0", diff --git a/release/ci/install_github_runner.sh b/release/ci/install_github_runner.sh deleted file mode 100755 index 9f11e4841c..0000000000 --- a/release/ci/install_github_runner.sh +++ /dev/null @@ -1,260 +0,0 @@ -#!/usr/bin/env bash -set -e - -# Default values -DEFAULT_REPO_URL="https://github.com/sunnypilot" -START_AT_BOOT=false -RESTORE_MODE=false -RUNNER_VERSION="2.325.0" - -# Parse command line arguments -while [[ $# -gt 0 ]]; do - case $1 in - --start-at-boot) - START_AT_BOOT=true - shift - ;; - --token) - GITHUB_TOKEN="$2" - shift 2 - ;; - --repo) - REPO_URL="$2" - shift 2 - ;; - --restore) - RESTORE_MODE=true - shift - ;; - *) - if [ -z "$GITHUB_TOKEN" ]; then - GITHUB_TOKEN="$1" - elif [ -z "$REPO_URL" ]; then - REPO_URL="$1" - fi - shift - ;; - esac -done - -# Determine BASE_DIR based on mount point -if mountpoint -q /data/media; then - BASE_DIR="/data/media/0/github" -else - BASE_DIR="/data/github" -fi - -# Constants -RUNNER_USER="github-runner" -USER_GROUPS="comma,gpu,gpio,sudo" -RUNNER_DIR="${BASE_DIR}/runner" -BUILDS_DIR="${BASE_DIR}/builds" -LOGS_DIR="${BASE_DIR}/logs" -CACHE_DIR="${BASE_DIR}/cache" -OPENPILOT_DIR="${BASE_DIR}/openpilot" - -# Basic utility functions (no dependencies) -remount_rw() { - sudo mount -o remount,rw / -} - -remount_ro() { - sync || true # Try to sync but continue even if it fails - sudo mount -o remount,ro / # Always try to remount as read-only -} - -# Always ensure we try to remount as read-only on exit -trap remount_ro EXIT - -setup_runner_user() { - sudo useradd --comment 'GitHub Runner' --create-home --home-dir ${BASE_DIR} ${RUNNER_USER} --shell /bin/bash -G ${USER_GROUPS} || sudo usermod -aG ${USER_GROUPS} ${RUNNER_USER} -} - -create_sudoers_entry() { - sudo grep -qxF "${RUNNER_USER} ALL=(ALL) NOPASSWD: ALL" /etc/sudoers || echo "${RUNNER_USER} ALL=(ALL) NOPASSWD: ALL" | sudo tee -a /etc/sudoers -} - -set_directory_permissions() { - sudo chown -R ${RUNNER_USER}:comma "$BASE_DIR" - sudo chmod -R g+rwx "$BASE_DIR" - sudo find "$BASE_DIR" -type d -exec chmod g+s {} + -} - -setup_directories() { - echo "Creating necessary directories..." - sudo mkdir -p "$RUNNER_DIR" "$BUILDS_DIR" "$LOGS_DIR" "$CACHE_DIR" "$OPENPILOT_DIR" - mkdir -p "/data/openpilot" - sudo chown -R comma:comma "/data/openpilot" - sync -} - -wipe_bash_logout() { - export BASE_DIR - sudo -u ${RUNNER_USER} bash -c "touch ${BASE_DIR}/.bash_logout" - sudo -u ${RUNNER_USER} bash -c "truncate -s 0 '${BASE_DIR}/.bash_logout'" -} - -# System configuration functions (depends on basic utility functions) -setup_system_configs() { - echo "Setting up system configurations..." - remount_rw - setup_runner_user - create_sudoers_entry - remount_ro - set_directory_permissions - wipe_bash_logout -} - -# Runner setup functions -install_runner() { - echo "Downloading and setting up runner..." - cd "$RUNNER_DIR" - curl -o actions-runner-linux-arm64-${RUNNER_VERSION}.tar.gz -L https://github.com/actions/runner/releases/download/v${RUNNER_VERSION}/actions-runner-linux-arm64-${RUNNER_VERSION}.tar.gz - sudo -u ${RUNNER_USER} tar -xzf ./actions-runner-linux-arm64-${RUNNER_VERSION}.tar.gz - sudo rm ./actions-runner-linux-arm64-${RUNNER_VERSION}.tar.gz - sudo chmod +x ./config.sh -} - -configure_runner() { - remount_rw - echo "Configuring runner..." - cd "$RUNNER_DIR" - sudo -u ${RUNNER_USER} ./config.sh --url "$REPO_URL" --token "$GITHUB_TOKEN" --name $(hostname) --runnergroup "tici-tizi" --labels "tici" --work "$BUILDS_DIR" --unattended - remount_ro -} - -create_service_template() { - echo "Creating service template..." - cat < "$RUNNER_DIR/bin/actions.runner.service.template" -[Unit] -Description={{Description}} -After=network-online.target nss-lookup.target time-sync.target -Wants=network-online.target nss-lookup.target time-sync.target -StartLimitInterval=5 -StartLimitBurst=10 - -[Service] -Type=simple -User=root -ExecStart=/usr/bin/unshare -m -- /bin/bash -c 'mount --bind ${OPENPILOT_DIR} /data/openpilot && setpriv --reuid={{User}} --regid={{User}} --init-groups env HOME=${BASE_DIR} USER={{User}} LOGNAME={{User}} MAIL=/var/mail/{{User}} {{RunnerRoot}}/runsvc.sh' -WorkingDirectory={{RunnerRoot}} -KillMode=process -KillSignal=SIGTERM -TimeoutStopSec=5min -Restart=always -RestartSec=120 - -[Install] -WantedBy=multi-user.target -EOL -} - -install_service() { - local service_name - if [ -f "${RUNNER_DIR}/.service" ]; then - service_name=$(cat "${RUNNER_DIR}/.service") - else - service_name="actions.runner.sunnypilot.$(uname -n)" - fi - - create_service_template - remount_rw - local service_path="/etc/systemd/system/${service_name}" - echo "Installing systemd service..." - if [ -f "${service_path}" ]; then - echo "Service ${service_path} found in systemd, we will delete it" - sudo rm -f "${service_path}" - fi - - cd "$RUNNER_DIR" - sudo ./svc.sh install $RUNNER_USER - - if [ "$START_AT_BOOT" = false ]; then - sudo systemctl disable "${service_name}" - fi - remount_ro -} - -check_restore_prerequisites() { - local can_restore=false - local service_name="" - - # Check if base runner directory exists - if [ ! -d "${RUNNER_DIR}" ]; then - echo "ERROR: Runner directory ${RUNNER_DIR} does not exist" - echo "This directory is required for restore operations" - exit 1 - fi - - # First check if we have the required files for restoration - if [ -f "${RUNNER_DIR}/.credentials" ] && [ -f "${RUNNER_DIR}/.service" ]; then - can_restore=true - service_name=$(cat "${RUNNER_DIR}/.service") - echo "Found required runner configuration files" - else - echo "Missing required runner configuration files" - echo "Required: .credentials and .service files in ${RUNNER_DIR}" - exit 1 - fi - - if ! id "${RUNNER_USER}" &>/dev/null; then - echo "User ${RUNNER_USER} does not exist" - fi - - # Only proceed if we can restore AND need to restore - if [ "$can_restore" = true ]; then - echo "Restoration is possible" - return 0 - else - echo "No restoration possible" - exit 0 - fi -} - -perform_restore() { - echo "Starting runner restoration..." - setup_directories - setup_system_configs - install_service - echo "Runner restoration completed successfully" -} - -perform_install() { - echo "Starting fresh installation..." - setup_directories - setup_system_configs - install_runner - set_directory_permissions - configure_runner - install_service - echo "Installation completed successfully" -} - -main() { - if [ "$RESTORE_MODE" = true ]; then - echo "Running in restore mode - will only restore system configurations..." - check_restore_prerequisites - perform_restore - else - # Check required arguments for normal installation - if [ -z "$GITHUB_TOKEN" ]; then - echo "Usage: $0 [--start-at-boot] [--token ] [--repo ] [--restore]" - echo "Required argument (except for --restore): github_token" - echo "Optional arguments:" - echo " --start-at-boot Enable auto-start at boot (default: false)" - echo " --repo Repository URL (default: ${DEFAULT_REPO_URL})" - echo " --restore Restore existing runner configuration" - exit 1 - fi - - # Set repository URL if not provided - REPO_URL="${REPO_URL:-$DEFAULT_REPO_URL}" - perform_install - fi - - echo "Starting runner service..." - cd "$RUNNER_DIR" - sudo ./svc.sh start -} - -main diff --git a/release/ci/model_generator.py b/release/ci/model_generator.py index 76935f3627..ff9be64783 100755 --- a/release/ci/model_generator.py +++ b/release/ci/model_generator.py @@ -48,24 +48,33 @@ def create_short_name(full_name: str) -> str: return result[:8] -def _read_pkl_bytes(pkl_path: Path) -> bytes: +def create_pkl_name(full_name: str) -> str: + pkl = re.sub(r'[^a-zA-Z0-9]+', '_', full_name).strip('_').lower() + return pkl + + +def _hash_pkl(pkl_path: Path) -> str: manifest = Path(f"{pkl_path}.chunkmanifest") if manifest.exists(): num_chunks = int(manifest.read_text().strip()) - parts = [] - for i in range(num_chunks): - chunk = Path(f"{pkl_path}.chunk{i + 1:02d}of{num_chunks:02d}") - parts.append(chunk.read_bytes()) - return b''.join(parts) - return pkl_path.read_bytes() + paths = [Path(f"{pkl_path}.chunk{i + 1:02d}of{num_chunks:02d}") for i in range(num_chunks)] + else: + paths = [pkl_path] + + digest = hashlib.sha256() + for path in paths: + with path.open('rb') as f: + while block := f.read(1024 * 1024): + digest.update(block) + return digest.hexdigest() def _find_driving_pkl(output_path: Path) -> Path | None: - for pattern in ('driving_tinygrad.pkl', 'driving_*_tinygrad.pkl'): + for pattern in ('*driving_tinygrad.pkl', '*driving_*_tinygrad.pkl'): matches = sorted(output_path.glob(pattern)) if matches: return matches[0] - for pattern in ('driving_tinygrad.pkl.chunkmanifest', 'driving_*_tinygrad.pkl.chunkmanifest'): + for pattern in ('*driving_tinygrad.pkl.chunkmanifest', '*driving_*_tinygrad.pkl.chunkmanifest'): matches = sorted(output_path.glob(pattern)) if matches: return Path(str(matches[0]).removesuffix('.chunkmanifest')) @@ -81,8 +90,20 @@ def _rename_pkl_with_chunks(old_pkl: Path, new_pkl: Path) -> Path: return old_pkl.rename(new_pkl) +def _hash_onnx_files(model_dir: Path) -> str | None: + onnx_files = sorted(model_dir.glob("*.onnx")) + if not onnx_files: + return None + digest = hashlib.sha256() + for f in onnx_files: + with f.open('rb') as fh: + while block := fh.read(1024 * 1024): + digest.update(block) + return digest.hexdigest() + + def generate_chunked_model(driving_pkl: Path) -> dict: - tinygrad_hash = hashlib.sha256(_read_pkl_bytes(driving_pkl)).hexdigest() + tinygrad_hash = _hash_pkl(driving_pkl) chunks_config = [] manifest_file = Path(f"{driving_pkl}.chunkmanifest") @@ -114,7 +135,8 @@ def generate_chunked_model(driving_pkl: Path) -> dict: } -def create_metadata_json(models: list, output_dir: Path, custom_name=None, short_name=None, is_20hz=False, upstream_branch="unknown") -> None: +def create_metadata_json(models: list, output_dir: Path, custom_name=None, short_name=None, is_20hz=False, upstream_branch="unknown", + onnx_sha256=None) -> None: bundle_json = { "short_name": short_name, "display_name": custom_name or upstream_branch, @@ -130,6 +152,9 @@ def create_metadata_json(models: list, output_dir: Path, custom_name=None, short "models": models, } + if onnx_sha256: + bundle_json["onnx_sha256"] = onnx_sha256 + # Write metadata to output_dir metadata_json = { "bundles": [bundle_json] @@ -154,18 +179,21 @@ if __name__ == "__main__": _output_dir = Path(args.output_dir) _output_dir.mkdir(exist_ok=True, parents=True) _short_name = create_short_name(args.custom_name) if args.custom_name else None + _pkl = create_pkl_name(args.custom_name) if args.custom_name else None _driving_pkl = _find_driving_pkl(_output_dir) if not _driving_pkl: print(f"No driving_tinygrad.pkl found in {_output_dir}", file=sys.stderr) sys.exit(1) - if _short_name: - new_pkl = _output_dir / f"driving_{_short_name.lower()}_tinygrad.pkl" + if _pkl: + new_pkl = _output_dir / f"driving_{_pkl}_tinygrad.pkl" if not new_pkl.exists(): _driving_pkl = _rename_pkl_with_chunks(_driving_pkl, new_pkl) else: _driving_pkl = new_pkl _model_metadata = generate_chunked_model(_driving_pkl) - create_metadata_json([_model_metadata], _output_dir, args.custom_name, _short_name, args.is_20hz, args.upstream_branch) + _onnx_sha256 = _hash_onnx_files(Path(args.model_dir)) + create_metadata_json([_model_metadata], _output_dir, args.custom_name, _short_name, args.is_20hz, args.upstream_branch, + onnx_sha256=_onnx_sha256) diff --git a/release/ci/publish.sh b/release/ci/publish.sh index 27904caf5d..fd1a61a87c 100755 --- a/release/ci/publish.sh +++ b/release/ci/publish.sh @@ -52,6 +52,12 @@ git fetch origin $DEV_BRANCH || (git checkout -b $DEV_BRANCH && git commit --all echo "[-] committing version $VERSION T=$SECONDS" git add -f . +# gitlinks break the release tree on device +if git ls-files -s | awk '$1 == "160000" { found = 1; print } END { exit !found }'; then + echo "Error: submodules found in release tree." + exit 1 +fi + # include source commit hash and build date in commit GIT_HASH=$(git --git-dir=$SOURCE_DIR/.git rev-parse HEAD) DATETIME=$(date '+%Y-%m-%dT%H:%M:%S') diff --git a/release/ci/uninstall_github_runner.sh b/release/ci/uninstall_github_runner.sh deleted file mode 100755 index 5f3acfbafd..0000000000 --- a/release/ci/uninstall_github_runner.sh +++ /dev/null @@ -1,66 +0,0 @@ -#!/usr/bin/env bash -# Determine BASE_DIR based on mount point -if mountpoint -q /data/media; then - GITHUB_BASE_DIR="/data/media/0/github" -else - GITHUB_BASE_DIR="/data/github" -fi - -# Define directories and user -BIN_DIR="$GITHUB_BASE_DIR/bin" -BUILDS_DIR="$GITHUB_BASE_DIR/builds" -OPENPILOT_DIR="$GITHUB_BASE_DIR/openpilot" -LOGS_DIR="$GITHUB_BASE_DIR/logs" -CACHE_DIR="$GITHUB_BASE_DIR/cache" -RUNNER_USERNAME="github-runner" -# Define the systemd service name -SERVICE_NAME="github-runner" -USER_GROUPS="comma,gpu,gpio,sudo" - -# Function to stop and disable the systemd service -stop_and_uninstall_service() { - cd $GITHUB_BASE_DIR/runner - sudo ./svc.sh stop - sudo ./svc.sh uninstall -} - -# Function to remove the systemd service file -remove_runner() { - cd $GITHUB_BASE_DIR/runner - sudo rm .runner - sudo su -c './config.sh remove' github-runner -} - -# Function to delete the Github Runner directories -delete_directories() { - sudo rm -rf "$BIN_DIR/github-runner" - sudo rm -rf "$GITHUB_BASE_DIR" "$BIN_DIR" "$BUILDS_DIR" "$LOGS_DIR" "$CACHE_DIR" "$OPENPILOT_DIR" -} - -# Function to remove the Github Runner user -delete_user() { - for group in ${USER_GROUPS//,/ } - do - sudo gpasswd -d ${RUNNER_USERNAME} ${group} - done - sudo userdel -r ${RUNNER_USERNAME} -} - -# Function to remove sudoers entry -remove_sudoers_entry() { - sudo sed -i.bak "/${RUNNER_USERNAME} ALL=(ALL) NOPASSWD: ALL/d" /etc/sudoers -} - -# Make filesystem writable -sudo mount -o remount rw / - -# Ensure filesystem is remounted as read-only on script exit -trap "sudo mount -o remount ro /" EXIT - -# Call functions -stop_and_uninstall_service -remove_runner -delete_directories -delete_user -remove_sudoers_entry -# End of uninstall script diff --git a/release/ci/upload_default_model.py b/release/ci/upload_default_model.py new file mode 100644 index 0000000000..eac48e3be4 --- /dev/null +++ b/release/ci/upload_default_model.py @@ -0,0 +1,104 @@ +#!/usr/bin/env python3 +""" +Copyright (c) 2021-, Haibin Wen, sunnypilot, and a number of other contributors. + +This file is part of sunnypilot and is licensed under the MIT License. +See the LICENSE.md file in the root directory for more details. +""" + +import argparse +import hashlib +import json +import tempfile + +from huggingface_hub import HfApi, hf_hub_download + + +def hash_file(path: str) -> str: + digest = hashlib.sha256() + with open(path, 'rb') as f: + while block := f.read(1024 * 1024): + digest.update(block) + return digest.hexdigest() + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument("--hf-repo", required=True) + parser.add_argument("--hf-defaults-path", required=True) + parser.add_argument("--artifact-name", required=True) + parser.add_argument("--model-dir", required=True) + parser.add_argument("--onnx-path", required=True) + parser.add_argument("--onnx-ref", required=True) + parser.add_argument("--model-name", required=True) + parser.add_argument("--tinygrad-ref", required=True) + parser.add_argument("--run-number", required=True) + args = parser.parse_args() + + api = HfApi() + onnx_sha256 = hash_file(args.onnx_path) + short_ref = args.onnx_ref[:8] + folder_name = f"model-{args.model_name}-{short_ref}-{args.run_number}" + + print(f"ONNX hash: {onnx_sha256}") + print(f"ONNX ref: {args.onnx_ref} (short: {short_ref})") + print(f"Folder: {folder_name}") + + metadata_path = f"{args.model_dir}/metadata.json" + with open(metadata_path) as f: + metadata = json.load(f) + + bundle = metadata['bundles'][0] + bundle['display_name'] = args.model_name + bundle['onnx_sha256'] = onnx_sha256 + bundle['onnx_ref'] = args.onnx_ref + + artifact = bundle['models'][0]['artifact'] + hf_base = f"https://huggingface.co/datasets/{args.hf_repo}/resolve/main/{args.hf_defaults_path}/{folder_name}" + artifact['download_uri']['url'] = f"{hf_base}/{artifact['file_name']}" + for chunk in artifact.get('chunks', []): + chunk['url'] = f"{hf_base}/{chunk['file_name']}" + + print(f"Uploading model to {args.hf_defaults_path}/{folder_name}/") + api.upload_folder( + folder_path=args.model_dir, + path_in_repo=f"{args.hf_defaults_path}/{folder_name}", + repo_id=args.hf_repo, + repo_type="dataset", + ) + + json_filename = f"{args.hf_defaults_path}/default_models.json" + try: + local_path = hf_hub_download(repo_id=args.hf_repo, repo_type='dataset', filename=json_filename) + with open(local_path) as f: + defaults_json = json.load(f) + except Exception: + defaults_json = {"tinygrad_ref": args.tinygrad_ref, "bundles": []} + + defaults_json['tinygrad_ref'] = args.tinygrad_ref + + existing_idx = next((i for i, b in enumerate(defaults_json['bundles']) + if b.get('onnx_sha256') == onnx_sha256), None) + if existing_idx is not None: + defaults_json['bundles'][existing_idx] = bundle + else: + defaults_json['bundles'].append(bundle) + + print(json.dumps(defaults_json, indent=2)) + + with tempfile.NamedTemporaryFile(mode='w', suffix='.json', delete=False) as f: + json.dump(defaults_json, f, indent=2) + tmp_path = f.name + + api.upload_file( + path_or_fileobj=tmp_path, + path_in_repo=json_filename, + repo_id=args.hf_repo, + repo_type="dataset", + ) + + print(f"Updated {json_filename}") + + +if __name__ == "__main__": + main() diff --git a/teleoprtc_repo b/teleoprtc_repo index 31db236a9e..1aa8fc433b 160000 --- a/teleoprtc_repo +++ b/teleoprtc_repo @@ -1 +1 @@ -Subproject commit 31db236a9ef820d7051ccd53488153cfbc84d3b9 +Subproject commit 1aa8fc433bef1519a95c0700c96258c3be6dfb34 diff --git a/tinygrad_repo b/tinygrad_repo index 2fecac4e4a..66ee3cfb4f 160000 --- a/tinygrad_repo +++ b/tinygrad_repo @@ -1 +1 @@ -Subproject commit 2fecac4e4ac32fe369c41f8400b6e7b9adb18683 +Subproject commit 66ee3cfb4f3a3908a6a20ddfbec7774ba7c09b4e diff --git a/tools/release/build_release.sh b/tools/release/build_release.sh index 3711cd582c..21d0bba449 100755 --- a/tools/release/build_release.sh +++ b/tools/release/build_release.sh @@ -2,15 +2,14 @@ set -e set -x -# git diff --name-status origin/release3-staging | grep "^A" | less - DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" >/dev/null && pwd)" - cd $DIR BUILD_DIR=/data/openpilot SOURCE_DIR="$(git rev-parse --show-toplevel)" +export PYTHONPATH="$BUILD_DIR:$BUILD_DIR/msgq_repo:$BUILD_DIR/opendbc_repo:$BUILD_DIR/rednose_repo:$BUILD_DIR/teleoprtc_repo:$BUILD_DIR/tinygrad_repo" + if [ -z "$RELEASE_BRANCH" ]; then echo "RELEASE_BRANCH is not set" exit 1 @@ -23,33 +22,36 @@ BUILD_BRANCH=release-mici-staging source $DIR/identity.sh echo "[-] Setting up repo T=$SECONDS" -rm -rf $BUILD_DIR -mkdir -p $BUILD_DIR +if ! git -C "$SOURCE_DIR" worktree remove --force "$BUILD_DIR" 2>/dev/null; then + rm -rf $BUILD_DIR +fi +git -C "$SOURCE_DIR" worktree prune +git -C "$SOURCE_DIR" worktree add --detach --no-checkout "$BUILD_DIR" cd $BUILD_DIR -git init -git remote add origin git@github.com:commaai/openpilot.git -git checkout --orphan $BUILD_BRANCH +git update-ref -d "refs/heads/$BUILD_BRANCH" +git symbolic-ref HEAD "refs/heads/$BUILD_BRANCH" +git read-tree --empty # do the files copy echo "[-] copying files T=$SECONDS" cd $SOURCE_DIR -cp -pR --parents $(./tools/release/release_files.py) $BUILD_DIR/ +./tools/release/release_files.py | xargs -0 cp -pR --parents -t "$BUILD_DIR" -- # in the directory cd $BUILD_DIR -rm -f panda/board/obj/panda.bin.signed -rm -f panda/board/obj/panda_h7.bin.signed +# use the full CPU available for speeding up the build. +# openpilot resets the CPU frequencies when test_onroad.py runs below. +for policy in /sys/devices/system/cpu/cpufreq/policy*; do + [ -d "$policy" ] || continue + hardware_max="$(cat "$policy/cpuinfo_max_freq")" + echo "$hardware_max" | sudo tee "$policy/scaling_max_freq" >/dev/null +done -VERSION=$(cat openpilot/sunnypilot/common/version.h | awk -F[\"-] '{print $2}') -echo "[-] committing version $VERSION T=$SECONDS" -git add -f . -git commit -a -m "openpilot v$VERSION release" - -# Build and test before launch_chffrplus.sh creates the on-device package -# symlinks. SConstruct uses the same package roots for build subprocesses. -export PYTHONPATH="$BUILD_DIR:$BUILD_DIR/msgq_repo:$BUILD_DIR/opendbc_repo:$BUILD_DIR/rednose_repo:$BUILD_DIR/teleoprtc_repo:$BUILD_DIR/tinygrad_repo" scons +if [ -n "$INCLUDE_BIG_MODEL" ]; then + test -f openpilot/selfdrive/modeld/models/big_driving_tinygrad.pkl.chunkmanifest +fi if [ -z "$PANDA_DEBUG_BUILD" ]; then # release panda fw @@ -72,7 +74,6 @@ find . -name '*.a' -delete find . -name '*.o' -delete find . -name '*.os' -delete find . -name '*.pyc' -delete -find . -name 'moc_*' -delete find . -name '__pycache__' -delete rm -rf .sconsign.dblite Jenkinsfile tools/release/ rm -f openpilot/selfdrive/modeld/models/*.onnx* @@ -88,9 +89,11 @@ git checkout openpilot/third_party/ # Mark as prebuilt release touch prebuilt +VERSION=$(cat openpilot/sunnypilot/common/version.h | awk -F[\"-] '{print $2}') # Add built files to git -git add -f . -git commit --amend -m "openpilot v$VERSION" +# writing larger objects is faster than compressing them on-device +git -c core.compression=0 add -f . +git -c core.compression=0 -c gc.auto=0 commit -m "openpilot v$VERSION" # Run tests cd $BUILD_DIR @@ -102,6 +105,7 @@ REFS=() for branch in ${RELEASE_BRANCH//,/ }; do REFS+=("$BUILD_BRANCH:$branch") done -git push -f origin "${REFS[@]}" +# uploading the larger pack is faster than spending CPU to optimize it +git -c pack.window=0 -c pack.depth=0 -c pack.compression=0 push -f origin "${REFS[@]}" echo "[-] done T=$SECONDS" diff --git a/tools/release/build_stripped.sh b/tools/release/build_stripped.sh index b5092b15a7..6015fdc5dd 100755 --- a/tools/release/build_stripped.sh +++ b/tools/release/build_stripped.sh @@ -30,20 +30,14 @@ git submodule deinit -f --all git rm -rf --cached . find . -maxdepth 1 -not -path './.git' -not -name '.' -not -name '..' -exec rm -rf '{}' \; -# cleanup before the copy -cd $SOURCE_DIR -git clean -xdff -git submodule foreach --recursive git clean -xdff - # do the files copy echo "[-] copying files T=$SECONDS" cd $SOURCE_DIR -./tools/release/release_files.py | xargs -d '\n' cp -pR --parents -t "$TARGET_DIR" +./tools/release/release_files.py | xargs -0 cp -pR --parents -t "$TARGET_DIR" -- # in the directory cd $TARGET_DIR rm -rf .git/modules/ -rm -f panda/board/obj/panda.bin.signed find openpilot/selfdrive/modeld/models -name '*.onnx' -size +95M -exec ./openpilot/common/file_chunker.py {} \; @@ -57,9 +51,10 @@ echo -n "$GIT_HASH" > git_src_commit echo -n "$GIT_COMMIT_DATE" > git_src_commit_date echo "[-] committing version $VERSION T=$SECONDS" -git add -f . +# writing larger objects is faster than compressing them on-device +git -c core.compression=0 add -f . git status -git commit -a -m "sunnypilot v$VERSION release +git -c core.compression=0 commit -a -m "sunnypilot v$VERSION release date: $DATETIME master commit: $GIT_HASH @@ -83,7 +78,8 @@ fi if [ ! -z "$BRANCH" ]; then echo "[-] Pushing to $BRANCH T=$SECONDS" - git push -f origin tmp:$BRANCH + # uploading the larger pack is faster than spending CPU to optimize it + git -c pack.window=0 -c pack.depth=0 -c pack.compression=0 push -f origin tmp:$BRANCH fi echo "[-] done T=$SECONDS, ready at $TARGET_DIR" diff --git a/tools/release/release_files.py b/tools/release/release_files.py index 54e92f5ff3..641dd7ff89 100755 --- a/tools/release/release_files.py +++ b/tools/release/release_files.py @@ -1,20 +1,19 @@ #!/usr/bin/env python3 import os import re -from pathlib import Path +import subprocess +import sys HERE = os.path.abspath(os.path.dirname(__file__)) ROOT = os.path.abspath(os.path.join(HERE, "../..")) blacklist = [ ".git/", + ".venv/", ".github/workflows/", "matlab.*.md", - # skip big model for now - "openpilot/selfdrive/modeld/models/big_driving_supercombo.onnx", - # no LFS or submodules in release ".lfsconfig", ".gitattributes", @@ -30,14 +29,17 @@ whitelist: list[str] = [ if __name__ == "__main__": - for f in Path(ROOT).rglob("**/*"): - if not (f.is_file() or f.is_symlink()): + tracked_files = 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