Merge branch 'master' into ccnc-port

This commit is contained in:
royjr
2026-08-22 13:19:05 -04:00
9 changed files with 381 additions and 10 deletions
@@ -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 }}"
@@ -36,6 +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: ${{ steps.strategy.outputs.include_big_model }}
steps:
- uses: actions/checkout@v4
- name: Extract deploy strategy
@@ -78,6 +79,9 @@ jobs:
stable_version=$(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
@@ -203,6 +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:
@@ -211,14 +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
@@ -228,6 +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"
@@ -248,6 +371,22 @@ jobs:
"https://x-access-token:${{github.token}}@github.com/sunnypilot/sunnypilot.git" \
"${{ needs.prepare_strategy.outputs.extra_version_identifier }}"
- 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: |
@@ -260,6 +399,7 @@ jobs:
- prepare_strategy
- build
- publish
- prepare_chestnut
runs-on: ubuntu-24.04
if: ${{ (always() && !cancelled() && !failure())
&& needs.publish.result == 'success'
@@ -279,6 +419,7 @@ jobs:
export commit_short_sha="${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 }}
+9
View File
@@ -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",
@@ -18,7 +18,7 @@
"_comment": "Set extra field to the failed reason."
},
"Offroad_ChestnutBranch": {
"text": "Chestnut detected! Switch to the release-chestnut branch to use chestnut-class models.",
"text": "Chestnut detected! Switch to the %1 branch to use chestnut-class models.",
"severity": 0
},
"Offroad_UnregisteredHardware": {
@@ -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
@@ -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)
+6 -2
View File
@@ -27,7 +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
@@ -301,7 +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)
set_offroad_alert_if_changed("Offroad_ChestnutBranch", msg.deviceState.chestnutPresent and not big_model_available)
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 = [
+20 -2
View File
@@ -90,6 +90,18 @@ 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 = _hash_pkl(driving_pkl)
@@ -123,7 +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,
@@ -139,6 +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]
@@ -178,4 +194,6 @@ if __name__ == "__main__":
_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)
+104
View File
@@ -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()