Reapply "LagdToggle: refactor and only instantiate once" (#1137) (#1138)

* Reapply "`LagdToggle`: refactor and only instantiate once" (#1137)

This reverts commit b4f19d4860.

* infinite woo gone

* use them hz
This commit is contained in:
Jason Wen
2025-08-09 22:50:29 -04:00
committed by GitHub
parent b4f19d4860
commit 1bc12f1e21
12 changed files with 92 additions and 72 deletions

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@@ -192,8 +192,8 @@ inline static std::unordered_map<std::string, ParamKeyAttributes> keys = {
// model panel params
{"LagdToggle", {PERSISTENT | BACKUP, BOOL, "1"}},
{"LagdToggleDesc", {PERSISTENT, STRING}},
{"LagdToggleDelay", {PERSISTENT | BACKUP, FLOAT, "0.2"}},
{"LagdValueCache", {PERSISTENT, FLOAT, "0.2"}},
// mapd
{"MapAdvisorySpeedLimit", {CLEAR_ON_ONROAD_TRANSITION, FLOAT}},

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@@ -21,6 +21,8 @@ from openpilot.selfdrive.controls.lib.latcontrol_torque import LatControlTorque
from openpilot.selfdrive.controls.lib.longcontrol import LongControl
from openpilot.selfdrive.locationd.helpers import PoseCalibrator, Pose
from openpilot.sunnypilot.livedelay.helpers import get_lat_delay
from openpilot.sunnypilot.modeld.modeld_base import ModelStateBase
from openpilot.sunnypilot.selfdrive.controls.controlsd_ext import ControlsExt
State = log.SelfdriveState.OpenpilotState
@@ -30,15 +32,16 @@ LaneChangeDirection = log.LaneChangeDirection
ACTUATOR_FIELDS = tuple(car.CarControl.Actuators.schema.fields.keys())
class Controls(ControlsExt):
class Controls(ControlsExt, ModelStateBase):
def __init__(self) -> None:
self.params = Params()
cloudlog.info("controlsd is waiting for CarParams")
self.CP = messaging.log_from_bytes(self.params.get("CarParams", block=True), car.CarParams)
cloudlog.info("controlsd got CarParams")
# Initialize sunnypilot controlsd extension
# Initialize sunnypilot controlsd extension and base model state
ControlsExt.__init__(self, self.CP, self.params)
ModelStateBase.__init__(self)
self.CI = interfaces[self.CP.carFingerprint](self.CP, self.CP_SP)
@@ -93,8 +96,9 @@ class Controls(ControlsExt):
torque_params.frictionCoefficientFiltered)
self.LaC.extension.update_model_v2(self.sm['modelV2'])
calculated_lag = self.LaC.extension.lagd_torqued_main(self.CP, self.sm['liveDelay'])
self.LaC.extension.update_lateral_lag(calculated_lag)
self.lat_delay = get_lat_delay(self.params, self.sm["liveDelay"].lateralDelay)
self.LaC.extension.update_lateral_lag(self.lat_delay)
long_plan = self.sm['longitudinalPlan']
model_v2 = self.sm['modelV2']

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@@ -12,6 +12,7 @@ from openpilot.common.params import Params
from openpilot.common.realtime import config_realtime_process
from openpilot.common.swaglog import cloudlog
from openpilot.selfdrive.locationd.helpers import PoseCalibrator, Pose, fft_next_good_size, parabolic_peak_interp
from openpilot.sunnypilot.livedelay.lagd_toggle import LagdToggle
BLOCK_SIZE = 100
BLOCK_NUM = 50
@@ -374,6 +375,8 @@ def main():
lag, valid_blocks = initial_lag_params
lag_learner.reset(lag, valid_blocks)
lagd_toggle = LagdToggle(CP)
while True:
sm.update()
if sm.all_checks():
@@ -392,3 +395,6 @@ def main():
if sm.frame % 1200 == 0: # cache every 60 seconds
params.put_nonblocking("LiveDelay", lag_msg_dat)
if sm.frame % 60 == 0: # read from and write to params every 3 seconds
lagd_toggle.update(lag_msg)

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@@ -10,8 +10,7 @@ from openpilot.common.realtime import config_realtime_process, DT_MDL
from openpilot.common.filter_simple import FirstOrderFilter
from openpilot.common.swaglog import cloudlog
from openpilot.selfdrive.locationd.helpers import PointBuckets, ParameterEstimator, PoseCalibrator, Pose
from openpilot.sunnypilot.livedelay.lagd_toggle import LagdToggle
from openpilot.sunnypilot.livedelay.helpers import get_lat_delay
HISTORY = 5 # secs
POINTS_PER_BUCKET = 1500
@@ -51,7 +50,7 @@ class TorqueBuckets(PointBuckets):
break
class TorqueEstimator(ParameterEstimator, LagdToggle):
class TorqueEstimator(ParameterEstimator):
def __init__(self, CP, decimated=False, track_all_points=False):
super().__init__()
self.CP = CP
@@ -99,6 +98,7 @@ class TorqueEstimator(ParameterEstimator, LagdToggle):
# try to restore cached params
params = Params()
self.params = params
params_cache = params.get("CarParamsPrevRoute")
torque_cache = params.get("LiveTorqueParameters")
if params_cache is not None and torque_cache is not None:
@@ -180,7 +180,7 @@ class TorqueEstimator(ParameterEstimator, LagdToggle):
elif which == "liveCalibration":
self.calibrator.feed_live_calib(msg)
elif which == "liveDelay":
self.lag = self.lagd_torqued_main(self.CP, msg)
self.lag = get_lat_delay(self.params, msg.lateralDelay)
# calculate lateral accel from past steering torque
elif which == "livePose":
if len(self.raw_points['steer_torque']) == self.hist_len:

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@@ -31,7 +31,8 @@ from openpilot.selfdrive.modeld.constants import ModelConstants, Plan
from openpilot.selfdrive.modeld.models.commonmodel_pyx import DrivingModelFrame, CLContext
from openpilot.selfdrive.modeld.runners.tinygrad_helpers import qcom_tensor_from_opencl_address
from openpilot.sunnypilot.livedelay.lagd_toggle import LagdToggle
from openpilot.sunnypilot.livedelay.helpers import get_lat_delay
from openpilot.sunnypilot.modeld.modeld_base import ModelStateBase
PROCESS_NAME = "selfdrive.modeld.modeld"
@@ -79,13 +80,14 @@ class FrameMeta:
if vipc is not None:
self.frame_id, self.timestamp_sof, self.timestamp_eof = vipc.frame_id, vipc.timestamp_sof, vipc.timestamp_eof
class ModelState:
class ModelState(ModelStateBase):
frames: dict[str, DrivingModelFrame]
inputs: dict[str, np.ndarray]
output: np.ndarray
prev_desire: np.ndarray # for tracking the rising edge of the pulse
def __init__(self, context: CLContext):
ModelStateBase.__init__(self)
self.LAT_SMOOTH_SECONDS = LAT_SMOOTH_SECONDS
with open(VISION_METADATA_PATH, 'rb') as f:
vision_metadata = pickle.load(f)
@@ -249,8 +251,6 @@ def main(demo=False):
CP = messaging.log_from_bytes(params.get("CarParams", block=True), car.CarParams)
cloudlog.info("modeld got CarParams: %s", CP.brand)
modeld_lagd = LagdToggle()
# TODO this needs more thought, use .2s extra for now to estimate other delays
# TODO Move smooth seconds to action function
long_delay = CP.longitudinalActuatorDelay + LONG_SMOOTH_SECONDS
@@ -296,7 +296,9 @@ def main(demo=False):
is_rhd = sm["driverMonitoringState"].isRHD
frame_id = sm["roadCameraState"].frameId
v_ego = max(sm["carState"].vEgo, 0.)
lat_delay = modeld_lagd.lagd_main(CP, sm, model)
if sm.frame % 60 == 0:
model.lat_delay = get_lat_delay(params, sm["liveDelay"].lateralDelay)
lat_delay = model.lat_delay + LAT_SMOOTH_SECONDS
lateral_control_params = np.array([v_ego, lat_delay], dtype=np.float32)
if sm.updated["liveCalibration"] and sm.seen['roadCameraState'] and sm.seen['deviceState']:
device_from_calib_euler = np.array(sm["liveCalibration"].rpyCalib, dtype=np.float32)

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@@ -361,10 +361,6 @@ void ModelsPanel::updateLabels() {
QString desc = tr("Enable this for the car to learn and adapt its steering response time. "
"Disable to use a fixed steering response time. Keeping this on provides the stock openpilot experience. "
"The Current value is updated automatically when the vehicle is Onroad.");
QString current = QString::fromStdString(params.get("LagdToggleDesc", false));
if (!current.isEmpty()) {
desc += "<br><br><b><span style=\"color:#e0e0e0\">" + tr("Current:") + "</span></b> <span style=\"color:#e0e0e0\">" + current + "</span>";
}
lagd_toggle_control->setDescription(desc);
delay_control->setVisible(!params.getBool("LagdToggle"));

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@@ -0,0 +1,14 @@
"""
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.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))
return stock_lat_delay

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@@ -4,48 +4,35 @@ 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 cereal import log
from opendbc.car import structs
from openpilot.common.params import Params
from openpilot.common.swaglog import cloudlog
class LagdToggle:
def __init__(self):
def __init__(self, CP: structs.CarParams):
self.CP = CP
self.params = Params()
self.lag = 0.0
self._last_desc = None
@property
def software_delay(self):
return self.params.get("LagdToggleDelay")
self.lagd_toggle = self.params.get_bool("LagdToggle")
self.software_delay = self.params.get("LagdToggleDelay", return_default=True)
def _maybe_update_desc(self, desc):
if desc != self._last_desc:
self.params.put_nonblocking("LagdToggleDesc", desc)
self._last_desc = desc
def read_params(self) -> None:
self.lagd_toggle = self.params.get_bool("LagdToggle")
self.software_delay = self.params.get("LagdToggleDelay", return_default=True)
def lagd_main(self, CP, sm, model):
if self.params.get_bool("LagdToggle"):
lateral_delay = sm["liveDelay"].lateralDelay
lat_smooth = model.LAT_SMOOTH_SECONDS
result = lateral_delay + lat_smooth
desc = f"live steer delay learner ({lateral_delay:.3f}s) + model smoothing filter ({lat_smooth:.3f}s) = total delay ({result:.3f}s)"
self._maybe_update_desc(desc)
return result
def update(self, lag_msg: log.LiveDelayData) -> None:
self.read_params()
steer_actuator_delay = CP.steerActuatorDelay
lat_smooth = model.LAT_SMOOTH_SECONDS
delay = self.software_delay
result = (steer_actuator_delay + delay) + lat_smooth
desc = (f"Vehicle steering delay ({steer_actuator_delay:.3f}s) + software delay ({delay:.3f}s) + " +
f"model smoothing filter ({lat_smooth:.3f}s) = total delay ({result:.3f}s)")
self._maybe_update_desc(desc)
return result
if not self.lagd_toggle:
steer_actuator_delay = self.CP.steerActuatorDelay
delay = self.software_delay
self.lag = (steer_actuator_delay + delay)
self.params.put_nonblocking("LagdValueCache", self.lag)
return
def lagd_torqued_main(self, CP, msg):
if self.params.get_bool("LagdToggle"):
self.lag = msg.lateralDelay
cloudlog.debug(f"TORQUED USING LIVE DELAY: {self.lag:.3f}")
else:
self.lag = CP.steerActuatorDelay + self.software_delay
cloudlog.debug(f"TORQUED USING STEER ACTUATOR: {self.lag:.3f}")
return self.lag
lateral_delay = lag_msg.liveDelay.lateralDelay
self.lag = lateral_delay
self.params.put_nonblocking("LagdValueCache", self.lag)

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@@ -20,13 +20,14 @@ from openpilot.system import sentry
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.sunnypilot.livedelay.helpers import get_lat_delay
from openpilot.sunnypilot.modeld.runners import ModelRunner, Runtime
from openpilot.sunnypilot.modeld.parse_model_outputs import Parser
from openpilot.sunnypilot.modeld.fill_model_msg import fill_model_msg, fill_pose_msg, PublishState
from openpilot.sunnypilot.modeld.constants import ModelConstants, Plan
from openpilot.sunnypilot.models.helpers import get_active_bundle, get_model_path, load_metadata, prepare_inputs, load_meta_constants
from openpilot.sunnypilot.livedelay.lagd_toggle import LagdToggle
from openpilot.sunnypilot.modeld.models.commonmodel_pyx import ModelFrame, CLContext
from openpilot.sunnypilot.modeld.modeld_base import ModelStateBase
PROCESS_NAME = "selfdrive.modeld.modeld_snpe"
@@ -48,7 +49,7 @@ class FrameMeta:
if vipc is not None:
self.frame_id, self.timestamp_sof, self.timestamp_eof = vipc.frame_id, vipc.timestamp_sof, vipc.timestamp_eof
class ModelState:
class ModelState(ModelStateBase):
frame: ModelFrame
wide_frame: ModelFrame
inputs: dict[str, np.ndarray]
@@ -57,6 +58,7 @@ class ModelState:
model: ModelRunner
def __init__(self, context: CLContext):
ModelStateBase.__init__(self)
self.frame = ModelFrame(context)
self.wide_frame = ModelFrame(context)
self.prev_desire = np.zeros(ModelConstants.DESIRE_LEN, dtype=np.float32)
@@ -202,8 +204,6 @@ def main(demo=False):
cloudlog.info("modeld got CarParams: %s", CP.brand)
modeld_lagd = LagdToggle()
# Enable lagd support for sunnypilot modeld
long_delay = CP.longitudinalActuatorDelay + model.LONG_SMOOTH_SECONDS
prev_action = log.ModelDataV2.Action()
@@ -248,8 +248,9 @@ def main(demo=False):
v_ego = sm["carState"].vEgo
is_rhd = sm["driverMonitoringState"].isRHD
frame_id = sm["roadCameraState"].frameId
steer_delay = modeld_lagd.lagd_main(CP, sm, model)
if sm.frame % 60 == 0:
model.lat_delay = get_lat_delay(params, sm["liveDelay"].lateralDelay)
lat_delay = model.lat_delay + model.LAT_SMOOTH_SECONDS
if sm.updated["liveCalibration"] and sm.seen['roadCameraState'] and sm.seen['deviceState']:
device_from_calib_euler = np.array(sm["liveCalibration"].rpyCalib, dtype=np.float32)
dc = DEVICE_CAMERAS[(str(sm['deviceState'].deviceType), str(sm['roadCameraState'].sensor))]
@@ -283,7 +284,7 @@ def main(demo=False):
}
if "lateral_control_params" in model.inputs.keys():
inputs['lateral_control_params'] = np.array([max(v_ego, 0.), steer_delay], dtype=np.float32)
inputs['lateral_control_params'] = np.array([max(v_ego, 0.), lat_delay], dtype=np.float32)
if "driving_style" in model.inputs.keys():
inputs['driving_style'] = np.array([1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], dtype=np.float32)
@@ -306,7 +307,7 @@ def main(demo=False):
action = model.get_action_from_model(model_output, prev_action, long_delay + DT_MDL)
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,
v_ego, steer_delay, model.meta)
v_ego, lat_delay, model.meta)
desire_state = modelv2_send.modelV2.meta.desireState
l_lane_change_prob = desire_state[log.Desire.laneChangeLeft]

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@@ -0,0 +1,12 @@
"""
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.params import Params
class ModelStateBase:
def __init__(self):
self.lat_delay = Params().get("LagdValueCache", return_default=True)

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@@ -22,8 +22,9 @@ from openpilot.sunnypilot.modeld_v2.constants import Plan
from openpilot.sunnypilot.modeld_v2.models.commonmodel_pyx import DrivingModelFrame, CLContext
from openpilot.sunnypilot.modeld_v2.meta_helper import load_meta_constants
from openpilot.sunnypilot.livedelay.helpers import get_lat_delay
from openpilot.sunnypilot.modeld.modeld_base import ModelStateBase
from openpilot.sunnypilot.models.helpers import get_active_bundle
from openpilot.sunnypilot.livedelay.lagd_toggle import LagdToggle
from openpilot.sunnypilot.models.runners.helpers import get_model_runner
PROCESS_NAME = "selfdrive.modeld.modeld"
@@ -39,13 +40,14 @@ class FrameMeta:
self.frame_id, self.timestamp_sof, self.timestamp_eof = vipc.frame_id, vipc.timestamp_sof, vipc.timestamp_eof
class ModelState:
class ModelState(ModelStateBase):
frames: dict[str, DrivingModelFrame]
inputs: dict[str, np.ndarray]
prev_desire: np.ndarray # for tracking the rising edge of the pulse
temporal_idxs: slice | np.ndarray
def __init__(self, context: CLContext):
ModelStateBase.__init__(self)
try:
self.model_runner = get_model_runner()
self.constants = self.model_runner.constants
@@ -242,9 +244,6 @@ def main(demo=False):
CP = messaging.log_from_bytes(params.get("CarParams", block=True), car.CarParams)
cloudlog.info("modeld got CarParams: %s", CP.brand)
modeld_lagd = LagdToggle()
# TODO Move smooth seconds to action function
long_delay = CP.longitudinalActuatorDelay + model.LONG_SMOOTH_SECONDS
prev_action = log.ModelDataV2.Action()
@@ -289,7 +288,9 @@ def main(demo=False):
is_rhd = sm["driverMonitoringState"].isRHD
frame_id = sm["roadCameraState"].frameId
v_ego = max(sm["carState"].vEgo, 0.)
steer_delay = modeld_lagd.lagd_main(CP, sm, model)
if sm.frame % 60 == 0:
model.lat_delay = get_lat_delay(params, sm["liveDelay"].lateralDelay)
lat_delay = model.lat_delay + model.LAT_SMOOTH_SECONDS
if sm.updated["liveCalibration"] and sm.seen['roadCameraState'] and sm.seen['deviceState']:
device_from_calib_euler = np.array(sm["liveCalibration"].rpyCalib, dtype=np.float32)
dc = DEVICE_CAMERAS[(str(sm['deviceState'].deviceType), str(sm['roadCameraState'].sensor))]
@@ -326,7 +327,7 @@ def main(demo=False):
}
if "lateral_control_params" in model.numpy_inputs.keys():
inputs['lateral_control_params'] = np.array([v_ego, steer_delay], dtype=np.float32)
inputs['lateral_control_params'] = np.array([v_ego, lat_delay], dtype=np.float32)
mt1 = time.perf_counter()
model_output = model.run(bufs, transforms, inputs, prepare_only)
@@ -338,7 +339,7 @@ def main(demo=False):
drivingdata_send = messaging.new_message('drivingModelData')
posenet_send = messaging.new_message('cameraOdometry')
action = model.get_action_from_model(model_output, prev_action, steer_delay + DT_MDL, long_delay + DT_MDL, v_ego)
action = model.get_action_from_model(model_output, prev_action, lat_delay + DT_MDL, long_delay + DT_MDL, v_ego)
prev_action = action
fill_model_msg(drivingdata_send, modelv2_send, model_output, action,
publish_state, meta_main.frame_id, meta_extra.frame_id, frame_id,

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@@ -10,8 +10,6 @@ import numpy as np
from openpilot.selfdrive.controls.lib.drive_helpers import CONTROL_N
from openpilot.selfdrive.modeld.constants import ModelConstants
from openpilot.sunnypilot.livedelay.lagd_toggle import LagdToggle
LAT_PLAN_MIN_IDX = 5
LATERAL_LAG_MOD = 0.0 # seconds, modifies how far in the future we look ahead for the lateral plan
@@ -43,9 +41,8 @@ def get_lookahead_value(future_vals, current_val):
return min_val
class LatControlTorqueExtBase(LagdToggle):
class LatControlTorqueExtBase:
def __init__(self, lac_torque, CP, CP_SP):
LagdToggle.__init__(self)
self.model_v2 = None
self.model_valid = False
self.torque_params = lac_torque.torque_params