Merge remote-tracking branch 'sunnypilot/sunnypilot/master' into hkg-angle-steering-2025

# Conflicts: # opendbc_repo
2026-02-18 14:13:53 +08:00 · 2026-02-17 20:12:13 -05:00
parent 5c777bbe01 c07ddcefb0
commit 1827331599
24 changed files with 442 additions and 86 deletions
--- a/.github/workflows/build-all-tinygrad-models.yaml
+++ b/.github/workflows/build-all-tinygrad-models.yaml
@@ -140,7 +140,7 @@ jobs:
        run: |
          echo '${{ needs.setup.outputs.model_matrix }}' > matrix.json
          built=(); while IFS= read -r line; do built+=("$line"); done < <(
-            ls output | sed -E 's/^model-//' | sed -E 's/-[0-9]+$//' | sed -E 's/ \([^)]*\)//' | awk '{gsub(/^ +| +$/, ""); print}'
+            find output -maxdepth 1 -name 'model-*' -printf "%f\n" | sed -E 's/^model-//' | sed -E 's/-[0-9]+$//' | sed -E 's/ \([^)]*\)//' | 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
@@ -168,6 +168,7 @@ jobs:
    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) }}
--- a/.github/workflows/repo-maintenance.yaml
+++ b/.github/workflows/repo-maintenance.yaml
@@ -43,7 +43,6 @@ jobs:
      with:
        submodules: true
    - name: uv lock
-      if: github.repository == 'commaai/openpilot'
      run: |
        python3 -m ensurepip --upgrade
        pip3 install uv
@@ -57,6 +56,9 @@ jobs:
    - name: bump submodules
      run: |
        git config --global --add safe.directory '*'
+        git config submodule.msgq.update none
+        git config submodule.rednose_repo.update none
+        git config submodule.teleoprtc_repo.update none
        git config submodule.tinygrad.update none
        git submodule update --remote
        git add .
--- a/.gitmodules
+++ b/.gitmodules
@@ -15,7 +15,7 @@
  url = https://github.com/commaai/teleoprtc
 [submodule "tinygrad"]
  path = tinygrad_repo
-  url = https://github.com/commaai/tinygrad.git
+  url = https://github.com/sunnypilot/tinygrad.git
 [submodule "sunnypilot/neural_network_data"]
  path = sunnypilot/neural_network_data
  url = https://github.com/sunnypilot/neural-network-data.git
--- a/Dockerfile.sunnypilot
+++ b/Dockerfile.sunnypilot
@@ -9,4 +9,6 @@ WORKDIR ${OPENPILOT_PATH}

 COPY . ${OPENPILOT_PATH}/

-RUN scons --cache-readonly -j$(nproc)
+ENV UV_BIN="/home/batman/.local/bin/"
+ENV PATH="$UV_BIN:$PATH"
+RUN UV_PROJECT_ENVIRONMENT=$VIRTUAL_ENV uv run scons --cache-readonly -j$(nproc)
--- a/common/params_keys.h
+++ b/common/params_keys.h
@@ -268,6 +268,7 @@ inline static std::unordered_map<std::string, ParamKeyAttributes> keys = {
    {"EnforceTorqueControl", {PERSISTENT | BACKUP, BOOL}},
    {"LiveTorqueParamsToggle", {PERSISTENT | BACKUP , BOOL}},
    {"LiveTorqueParamsRelaxedToggle", {PERSISTENT | BACKUP , BOOL}},
+    {"TorqueControlTune", {PERSISTENT | BACKUP, FLOAT}},
    {"TorqueParamsOverrideEnabled", {PERSISTENT | BACKUP, BOOL, "0"}},
    {"TorqueParamsOverrideFriction", {PERSISTENT | BACKUP, FLOAT, "0.1"}},
    {"TorqueParamsOverrideLatAccelFactor", {PERSISTENT | BACKUP, FLOAT, "2.5"}},
--- a/2
+++ b/2
--- a/selfdrive/controls/controlsd.py
+++ b/selfdrive/controls/controlsd.py
@@ -64,6 +64,8 @@ class Controls(ControlsExt):
    elif self.CP.lateralTuning.which() == 'torque':
      self.LaC = LatControlTorque(self.CP, self.CP_SP, self.CI, DT_CTRL)

+    self.LaC = ControlsExt.initialize_lateral_control(self, self.LaC, self.CI, DT_CTRL)
+
  def update(self):
    self.sm.update(15)
    if self.sm.updated["liveCalibration"]:
--- a/selfdrive/modeld/SConscript
+++ b/selfdrive/modeld/SConscript
@@ -50,7 +50,7 @@ def tg_compile(flags, model_name):
 # Compile small models
 for model_name in ['driving_vision', 'driving_policy', 'dmonitoring_model']:
  flags = {
-    'larch64': 'DEV=QCOM',
+    'larch64': 'DEV=QCOM FLOAT16=1 NOLOCALS=1 IMAGE=2 JIT_BATCH_SIZE=0',
    'Darwin': f'DEV=CPU HOME={os.path.expanduser("~")} IMAGE=0', # tinygrad calls brew which needs a $HOME in the env
  }.get(arch, 'DEV=CPU CPU_LLVM=1 IMAGE=0')
  tg_compile(flags, model_name)
--- a/selfdrive/ui/sunnypilot/layouts/settings/steering_sub_layouts/torque_settings.py
+++ b/selfdrive/ui/sunnypilot/layouts/settings/steering_sub_layouts/torque_settings.py
@@ -4,15 +4,24 @@ 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 json
+import math
+import os
 from collections.abc import Callable
 import pyray as rl

+from openpilot.common.basedir import BASEDIR
 from openpilot.selfdrive.ui.ui_state import ui_state
+from openpilot.system.ui.lib.application import gui_app, FontWeight
 from openpilot.system.ui.lib.multilang import tr
-from openpilot.system.ui.sunnypilot.widgets.list_view import toggle_item_sp, option_item_sp
+from openpilot.system.ui.sunnypilot.lib.utils import NoElideButtonAction
+from openpilot.system.ui.sunnypilot.widgets.list_view import ListItemSP, toggle_item_sp, option_item_sp
+from openpilot.system.ui.sunnypilot.widgets.tree_dialog import TreeOptionDialog, TreeFolder, TreeNode
+from openpilot.system.ui.widgets import Widget, DialogResult
 from openpilot.system.ui.widgets.network import NavButton
 from openpilot.system.ui.widgets.scroller_tici import Scroller
-from openpilot.system.ui.widgets import Widget
+
+TORQUE_VERSIONS_PATH = os.path.join(BASEDIR, "sunnypilot", "selfdrive", "controls", "lib", "latcontrol_torque_versions.json")


 class TorqueSettingsLayout(Widget):
@@ -20,10 +29,23 @@ class TorqueSettingsLayout(Widget):
    super().__init__()
    self._back_button = NavButton(tr("Back"))
    self._back_button.set_click_callback(back_btn_callback)
+    self._torque_version_dialog: TreeOptionDialog | None = None
+    self.cached_torque_versions = {}
+    self._load_versions()
    items = self._initialize_items()
    self._scroller = Scroller(items, line_separator=True, spacing=0)

+  def _load_versions(self):
+    with open(TORQUE_VERSIONS_PATH) as f:
+      self.cached_torque_versions = json.load(f)
+
  def _initialize_items(self):
+    self._torque_control_versions = ListItemSP(
+      title=tr("Torque Control Tune Version"),
+      description="Select the version of Torque Control Tune to use.",
+      action_item=NoElideButtonAction(tr("SELECT")),
+      callback=self._show_torque_version_dialog,
+    )
    self._self_tune_toggle = toggle_item_sp(
      param="LiveTorqueParamsToggle",
      title=lambda: tr("Self-Tune"),
@@ -73,6 +95,7 @@ class TorqueSettingsLayout(Widget):
    )

    items = [
+      self._torque_control_versions,
      self._self_tune_toggle,
      self._relaxed_tune_toggle,
      self._custom_tune_toggle,
@@ -103,6 +126,7 @@ class TorqueSettingsLayout(Widget):
    title_text = tr("Real-Time & Offline") if ui_state.params.get("TorqueParamsOverrideEnabled") else tr("Offline Only")
    self._torque_lat_accel_factor.set_title(lambda: tr("Lateral Acceleration Factor") + " (" + title_text + ")")
    self._torque_friction.set_title(lambda: tr("Friction") + " (" + title_text + ")")
+    self._torque_control_versions.action_item.set_value(self._get_current_torque_version_label())

  def _render(self, rect):
    self._back_button.set_position(self._rect.x, self._rect.y + 20)
@@ -113,3 +137,54 @@ class TorqueSettingsLayout(Widget):

  def show_event(self):
    self._scroller.show_event()
+
+  def _get_current_torque_version_label(self):
+    current_val_bytes = ui_state.params.get("TorqueControlTune")
+    if current_val_bytes is None:
+      return tr("Default")
+
+    try:
+      current_val = float(current_val_bytes)
+      for label, info in self.cached_torque_versions.items():
+        if math.isclose(float(info["version"]), current_val, rel_tol=1e-5):
+          return label
+    except (ValueError, KeyError):
+      pass
+
+    return tr("Default")
+
+  def _show_torque_version_dialog(self):
+    options_map = {}
+    for label, info in self.cached_torque_versions.items():
+      try:
+        options_map[label] = float(info["version"])
+      except (ValueError, KeyError):
+        pass
+
+    # Sort options by label in descending order
+    sorted_labels = sorted(options_map.keys(), key=lambda k: options_map[k], reverse=True)
+
+    nodes = [TreeNode(tr("Default"))]
+    for label in sorted_labels:
+      nodes.append(TreeNode(label))
+
+    folders = [TreeFolder("", nodes)]
+
+    current_label = self._get_current_torque_version_label()
+
+    def handle_selection(result: int):
+      if result == DialogResult.CONFIRM and self._torque_version_dialog:
+        selected_ref = self._torque_version_dialog.selection_ref
+        if selected_ref == tr("Default"):
+          ui_state.params.remove("TorqueControlTune")
+        elif selected_ref in options_map:
+          ui_state.params.put("TorqueControlTune", options_map[selected_ref])
+      self._torque_version_dialog = None
+
+    self._torque_version_dialog = TreeOptionDialog(
+      tr("Select Torque Control Tune Version"),
+      folders,
+      current_ref=current_label,
+      option_font_weight=FontWeight.UNIFONT,
+    )
+    gui_app.set_modal_overlay(self._torque_version_dialog, callback=handle_selection)
--- a/sunnypilot/common/version.h
+++ b/sunnypilot/common/version.h
@@ -1 +1 @@
-#define SUNNYPILOT_VERSION "2025.003.000"
+#define SUNNYPILOT_VERSION "2026.001.000"
--- a/sunnypilot/modeld_v2/SConscript
+++ b/sunnypilot/modeld_v2/SConscript
@@ -60,7 +60,7 @@ def tg_compile(flags, model_name):
 for model_name in ['supercombo', 'driving_vision', 'driving_off_policy', 'driving_policy']:
  if File(f"models/{model_name}.onnx").exists():
    flags = {
-      'larch64': 'DEV=QCOM',
+      'larch64': 'DEV=QCOM FLOAT16=1 NOLOCALS=1 IMAGE=2 JIT_BATCH_SIZE=0',
      'Darwin': f'DEV=CPU HOME={os.path.expanduser("~")} IMAGE=0', # tinygrad calls brew which needs a $HOME in the env
    }.get(arch, 'DEV=CPU CPU_LLVM=1 IMAGE=0')
    tg_compile(flags, model_name)
--- a/sunnypilot/modeld_v2/modeld.py
+++ b/sunnypilot/modeld_v2/modeld.py
@@ -1,4 +1,11 @@
 #!/usr/bin/env python3
+import os
+from openpilot.system.hardware import TICI
+os.environ['DEV'] = 'QCOM' if TICI else 'CPU'
+USBGPU = "USBGPU" in os.environ
+if USBGPU:
+  os.environ['DEV'] = 'AMD'
+  os.environ['AMD_IFACE'] = 'USB'
 import time
 import numpy as np
 import cereal.messaging as messaging
--- a/sunnypilot/models/fetcher.py
+++ b/sunnypilot/models/fetcher.py
@@ -116,7 +116,7 @@ class ModelCache:

 class ModelFetcher:
  """Handles fetching and caching of model data from remote source"""
-  MODEL_URL = "https://raw.githubusercontent.com/sunnypilot/sunnypilot-docs/refs/heads/gh-pages/docs/driving_models_v11.json"
+  MODEL_URL = "https://raw.githubusercontent.com/sunnypilot/sunnypilot-docs/refs/heads/gh-pages/docs/driving_models_v14.json"

  def __init__(self, params: Params):
    self.params = params
--- a/sunnypilot/models/helpers.py
+++ b/sunnypilot/models/helpers.py
@@ -19,8 +19,8 @@ from openpilot.system.hardware.hw import Paths
 from pathlib import Path

 # see the README.md for more details on the model selector versioning
-CURRENT_SELECTOR_VERSION = 13
-REQUIRED_MIN_SELECTOR_VERSION = 12
+CURRENT_SELECTOR_VERSION = 14
+REQUIRED_MIN_SELECTOR_VERSION = 14

 USE_ONNX = os.getenv('USE_ONNX', PC)

--- a/sunnypilot/models/runners/model_runner.py
+++ b/sunnypilot/models/runners/model_runner.py
@@ -1,9 +1,7 @@
-import os
 from abc import abstractmethod, ABC

 import numpy as np
 from openpilot.sunnypilot.models.helpers import get_active_bundle
-from openpilot.system.hardware import TICI
 from openpilot.sunnypilot.models.runners.constants import NumpyDict, ShapeDict, CLMemDict, FrameDict, Model, SliceDict, SEND_RAW_PRED
 from openpilot.system.hardware.hw import Paths
 import pickle
@@ -11,15 +9,6 @@ import pickle
 CUSTOM_MODEL_PATH = Paths.model_root()


-# Set QCOM environment variable for TICI devices, potentially enabling hardware acceleration
-USBGPU = "USBGPU" in os.environ
-if USBGPU:
-  os.environ['DEV'] = 'AMD'
-  os.environ['AMD_IFACE'] = 'USB'
-else:
-  os.environ['DEV'] = 'QCOM' if TICI else 'CPU'
-
-
 class ModelData:
  """
  Stores metadata and configuration for a specific machine learning model.
--- a/sunnypilot/models/runners/tinygrad/tinygrad_runner.py
+++ b/sunnypilot/models/runners/tinygrad/tinygrad_runner.py
@@ -51,7 +51,7 @@ class TinygradRunner(ModelRunner, SupercomboTinygrad, PolicyTinygrad, VisionTiny
    self.input_to_dtype = {}
    self.input_to_device = {}
    for idx, name in enumerate(self.model_run.captured.expected_names):
-      info = self.model_run.captured.expected_st_vars_dtype_device[idx]
+      info = self.model_run.captured.expected_input_info[idx]
      self.input_to_dtype[name] = info[2]  # dtype
      self.input_to_device[name] = info[3]  # device

@@ -84,7 +84,7 @@ class TinygradRunner(ModelRunner, SupercomboTinygrad, PolicyTinygrad, VisionTiny

  def _run_model(self) -> NumpyDict:
    """Runs the Tinygrad model inference and parses the outputs."""
-    outputs = self.model_run(**self.inputs).contiguous().realize().uop.base.buffer.numpy()
+    outputs = self.model_run(**self.inputs).numpy().flatten()
    return self._parse_outputs(outputs)

  def _parse_outputs(self, model_outputs: np.ndarray) -> NumpyDict:
--- a/sunnypilot/selfdrive/controls/controlsd_ext.py
+++ b/sunnypilot/selfdrive/controls/controlsd_ext.py
@@ -16,6 +16,7 @@ from openpilot.sunnypilot import PARAMS_UPDATE_PERIOD
 from openpilot.sunnypilot.livedelay.helpers import get_lat_delay
 from openpilot.sunnypilot.modeld.modeld_base import ModelStateBase
 from openpilot.sunnypilot.selfdrive.controls.lib.blinker_pause_lateral import BlinkerPauseLateral
+from openpilot.sunnypilot.selfdrive.controls.lib.latcontrol_torque_v0 import LatControlTorque as LatControlTorqueV0


 class ControlsExt(ModelStateBase):
@@ -33,6 +34,17 @@ class ControlsExt(ModelStateBase):
    self.sm_services_ext = ['radarState', 'selfdriveStateSP']
    self.pm_services_ext = ['carControlSP']

+  def initialize_lateral_control(self, lac, CI, dt):
+    enforce_torque_control = self.params.get_bool("EnforceTorqueControl")
+    torque_versions = self.params.get("TorqueControlTune")
+    if not enforce_torque_control:
+      return lac
+
+    if torque_versions == 0.0:  # v0
+      return LatControlTorqueV0(self.CP, self.CP_SP, CI, dt)
+    else:
+      return lac
+
  def get_params_sp(self, sm: messaging.SubMaster) -> None:
    if time.monotonic() - self._param_update_time > PARAMS_UPDATE_PERIOD:
      self.blinker_pause_lateral.get_params()
--- a/sunnypilot/selfdrive/controls/lib/latcontrol_torque_v0.py
+++ b/sunnypilot/selfdrive/controls/lib/latcontrol_torque_v0.py
@@ -0,0 +1,128 @@
+import math
+import numpy as np
+from collections import deque
+
+from cereal import log
+from opendbc.car.lateral import get_friction
+from openpilot.common.constants import ACCELERATION_DUE_TO_GRAVITY
+from openpilot.common.filter_simple import FirstOrderFilter
+from openpilot.selfdrive.controls.lib.latcontrol import LatControl
+from openpilot.common.pid import PIDController
+
+from openpilot.sunnypilot.selfdrive.controls.lib.latcontrol_torque_ext import LatControlTorqueExt
+
+# At higher speeds (25+mph) we can assume:
+# Lateral acceleration achieved by a specific car correlates to
+# torque applied to the steering rack. It does not correlate to
+# wheel slip, or to speed.
+
+# This controller applies torque to achieve desired lateral
+# accelerations. To compensate for the low speed effects the
+# proportional gain is increased at low speeds by the PID controller.
+# Additionally, there is friction in the steering wheel that needs
+# to be overcome to move it at all, this is compensated for too.
+
+KP = 1.0
+KI = 0.3
+KD = 0.0
+INTERP_SPEEDS = [1, 1.5, 2.0, 3.0, 5, 7.5, 10, 15, 30]
+KP_INTERP = [250, 120, 65, 30, 11.5, 5.5, 3.5, 2.0, KP]
+
+LP_FILTER_CUTOFF_HZ = 1.2
+LAT_ACCEL_REQUEST_BUFFER_SECONDS = 1.0
+FRICTION_THRESHOLD = 0.3
+VERSION = 0
+
+
+class LatControlTorque(LatControl):
+  def __init__(self, CP, CP_SP, CI, dt):
+    super().__init__(CP, CP_SP, CI, dt)
+    self.torque_params = CP.lateralTuning.torque.as_builder()
+    self.torque_from_lateral_accel = CI.torque_from_lateral_accel()
+    self.lateral_accel_from_torque = CI.lateral_accel_from_torque()
+    self.pid = PIDController([INTERP_SPEEDS, KP_INTERP], KI, KD, rate=1/self.dt)
+    self.update_limits()
+    self.steering_angle_deadzone_deg = self.torque_params.steeringAngleDeadzoneDeg
+    self.lat_accel_request_buffer_len = int(LAT_ACCEL_REQUEST_BUFFER_SECONDS / self.dt)
+    self.lat_accel_request_buffer = deque([0.] * self.lat_accel_request_buffer_len , maxlen=self.lat_accel_request_buffer_len)
+    self.previous_measurement = 0.0
+    self.measurement_rate_filter = FirstOrderFilter(0.0, 1 / (2 * np.pi * LP_FILTER_CUTOFF_HZ), self.dt)
+
+    self.extension = LatControlTorqueExt(self, CP, CP_SP, CI)
+
+  def update_live_torque_params(self, latAccelFactor, latAccelOffset, friction):
+    self.torque_params.latAccelFactor = latAccelFactor
+    self.torque_params.latAccelOffset = latAccelOffset
+    self.torque_params.friction = friction
+    self.update_limits()
+
+  def update_limits(self):
+    self.pid.set_limits(self.lateral_accel_from_torque(self.steer_max, self.torque_params),
+                        self.lateral_accel_from_torque(-self.steer_max, self.torque_params))
+
+  def update(self, active, CS, VM, params, steer_limited_by_safety, desired_curvature, calibrated_pose, curvature_limited, lat_delay):
+    # Override torque params from extension
+    if self.extension.update_override_torque_params(self.torque_params):
+      self.update_limits()
+
+    pid_log = log.ControlsState.LateralTorqueState.new_message()
+    pid_log.version = VERSION
+    if not active:
+      output_torque = 0.0
+      pid_log.active = False
+    else:
+      measured_curvature = -VM.calc_curvature(math.radians(CS.steeringAngleDeg - params.angleOffsetDeg), CS.vEgo, params.roll)
+      roll_compensation = params.roll * ACCELERATION_DUE_TO_GRAVITY
+      curvature_deadzone = abs(VM.calc_curvature(math.radians(self.steering_angle_deadzone_deg), CS.vEgo, 0.0))
+      lateral_accel_deadzone = curvature_deadzone * CS.vEgo ** 2
+
+      delay_frames = int(np.clip(lat_delay / self.dt, 1, self.lat_accel_request_buffer_len))
+      expected_lateral_accel = self.lat_accel_request_buffer[-delay_frames]
+      # TODO factor out lateral jerk from error to later replace it with delay independent alternative
+      future_desired_lateral_accel = desired_curvature * CS.vEgo ** 2
+      self.lat_accel_request_buffer.append(future_desired_lateral_accel)
+      gravity_adjusted_future_lateral_accel = future_desired_lateral_accel - roll_compensation
+      desired_lateral_jerk = (future_desired_lateral_accel - expected_lateral_accel) / lat_delay
+
+      measurement = measured_curvature * CS.vEgo ** 2
+      measurement_rate = self.measurement_rate_filter.update((measurement - self.previous_measurement) / self.dt)
+      self.previous_measurement = measurement
+
+      setpoint = lat_delay * desired_lateral_jerk + expected_lateral_accel
+      error = setpoint - measurement
+
+      # do error correction in lateral acceleration space, convert at end to handle non-linear torque responses correctly
+      pid_log.error = float(error)
+      ff = gravity_adjusted_future_lateral_accel
+      # latAccelOffset corrects roll compensation bias from device roll misalignment relative to car roll
+      ff -= self.torque_params.latAccelOffset
+      # TODO jerk is weighted by lat_delay for legacy reasons, but should be made independent of it
+      ff += get_friction(error, lateral_accel_deadzone, FRICTION_THRESHOLD, self.torque_params)
+
+      freeze_integrator = steer_limited_by_safety or CS.steeringPressed or CS.vEgo < 5
+      output_lataccel = self.pid.update(pid_log.error,
+                                       -measurement_rate,
+                                        feedforward=ff,
+                                        speed=CS.vEgo,
+                                        freeze_integrator=freeze_integrator)
+      output_torque = self.torque_from_lateral_accel(output_lataccel, self.torque_params)
+
+      # Lateral acceleration torque controller extension updates
+      # Overrides pid_log.error and output_torque
+      pid_log, output_torque = self.extension.update(CS, VM, self.pid, params, ff, pid_log, setpoint, measurement, calibrated_pose, roll_compensation,
+                                                     future_desired_lateral_accel, measurement, lateral_accel_deadzone, gravity_adjusted_future_lateral_accel,
+                                                     desired_curvature, measured_curvature, steer_limited_by_safety, output_torque)
+
+      pid_log.active = True
+      pid_log.p = float(self.pid.p)
+      pid_log.i = float(self.pid.i)
+      pid_log.d = float(self.pid.d)
+      pid_log.f = float(self.pid.f)
+      pid_log.output = float(-output_torque) # TODO: log lat accel?
+      pid_log.actualLateralAccel = float(measurement)
+      pid_log.desiredLateralAccel = float(setpoint)
+      pid_log.desiredLateralJerk = float(desired_lateral_jerk)
+      pid_log.saturated = bool(self._check_saturation(self.steer_max - abs(output_torque) < 1e-3, CS, steer_limited_by_safety, curvature_limited))
+
+    # TODO left is positive in this convention
+    return -output_torque, 0.0, pid_log
--- a/sunnypilot/selfdrive/controls/lib/latcontrol_torque_versions.json
+++ b/sunnypilot/selfdrive/controls/lib/latcontrol_torque_versions.json
@@ -0,0 +1,8 @@
+{
+  "v1.0": {
+    "version": "1.0"
+  },
+  "v0.0": {
+    "version": "0.0"
+  }
+}
--- a/sunnypilot/sunnylink/params_metadata.json
+++ b/sunnypilot/sunnylink/params_metadata.json
@@ -1247,6 +1247,24 @@
    "title": "[TIZI/TICI only] Steering Arc",
    "description": "Display steering arc on the driving screen when lateral control is enabled."
  },
+  "TorqueControlTune": {
+    "title": "Torque Control Tune Version",
+    "description": "Select the version of Torque Control Tune to use.",
+    "options": [
+      {
+        "value": "",
+        "label": "Default"
+      },
+      {
+        "value": 1.0,
+        "label": "v1.0"
+      },
+      {
+        "value": 0.0,
+        "label": "v0.0"
+      }
+    ]
+  },
  "TorqueParamsOverrideEnabled": {
    "title": "Manual Real-Time Tuning",
    "description": ""
--- a/sunnypilot/sunnylink/tests/test_params_sync.py
+++ b/sunnypilot/sunnylink/tests/test_params_sync.py
@@ -200,3 +200,85 @@ def test_known_params_metadata():
  assert acc_long["min"] == 1
  assert acc_long["max"] == 10
  assert acc_long["step"] == 1
+
+
+def test_torque_control_tune_versions_in_sync():
+  """
+  Test that TorqueControlTune options in params_metadata.json match versions in latcontrol_torque_versions.json.
+
+  Why:
+  The TorqueControlTune dropdown in the UI should always reflect the available torque tune versions.
+  If versions are added/removed from latcontrol_torque_versions.json, the metadata must be updated accordingly.
+
+  Expected:
+  - TorqueControlTune should have a 'Default' option with empty string value
+  - All versions from latcontrol_torque_versions.json should be present in the options
+  - The version values and labels should match between both files
+  """
+  from openpilot.common.basedir import BASEDIR
+
+  versions_json_path = os.path.join(BASEDIR, "sunnypilot", "selfdrive", "controls", "lib", "latcontrol_torque_versions.json")
+  sync_script_path = "python3 sunnypilot/sunnylink/tools/sync_torque_versions.py"
+
+  # Load both files
+  with open(METADATA_PATH) as f:
+    metadata = json.load(f)
+
+  with open(versions_json_path) as f:
+    versions = json.load(f)
+
+  # Get TorqueControlTune metadata
+  torque_tune = metadata.get("TorqueControlTune")
+  if torque_tune is None:
+    pytest.fail(f"TorqueControlTune not found in params_metadata.json. Please run '{sync_script_path}' to sync.")
+
+  if "options" not in torque_tune:
+    pytest.fail(f"TorqueControlTune must have options. Please run '{sync_script_path}' to sync.")
+
+  options = torque_tune["options"]
+  if not isinstance(options, list):
+    pytest.fail(f"TorqueControlTune options must be a list. Please run '{sync_script_path}' to sync.")
+
+  if len(options) == 0:
+    pytest.fail(f"TorqueControlTune must have at least one option. Please run '{sync_script_path}' to sync.")
+
+  # Check that Default option exists
+  default_option = next((opt for opt in options if opt.get("value") == ""), None)
+  if default_option is None:
+    pytest.fail(f"TorqueControlTune must have a 'Default' option with empty string value. Please run '{sync_script_path}' to sync.")
+
+  if default_option.get("label") != "Default":
+    pytest.fail(f"Default option must have label 'Default'. Please run '{sync_script_path}' to sync.")
+
+  # Build expected options from versions.json
+  expected_version_keys = set(versions.keys())
+  actual_version_keys = set()
+
+  for option in options:
+    if option.get("value") == "":
+      continue  # Skip the default option
+
+    label = option.get("label")
+    value = option.get("value")
+
+    # Check that this option corresponds to a version
+    if label not in versions:
+      pytest.fail(f"Option label '{label}' not found in latcontrol_torque_versions.json. Please run '{sync_script_path}' to sync.")
+
+    # Check that the value matches the version number
+    expected_value = float(versions[label]["version"])
+    if value != expected_value:
+      pytest.fail(f"Option '{label}' has value {value}, expected {expected_value}. Please run '{sync_script_path}' to sync.")
+
+    actual_version_keys.add(label)
+
+  # Check that all versions are represented
+  missing_versions = expected_version_keys - actual_version_keys
+  if missing_versions:
+    pytest.fail(f"The following versions are missing from TorqueControlTune options: {missing_versions}. " +
+                f"Please run '{sync_script_path}' to sync.")
+
+  extra_versions = actual_version_keys - expected_version_keys
+  if extra_versions:
+    pytest.fail("The following versions in TorqueControlTune options are not in latcontrol_torque_versions.json: " +
+                f"{extra_versions}. Please run '{sync_script_path}' to sync.")
--- a/sunnypilot/sunnylink/tools/update_params_metadata.py
+++ b/sunnypilot/sunnylink/tools/update_params_metadata.py
@@ -8,9 +8,11 @@ See the LICENSE.md file in the root directory for more details.
 import json
 import os

+from openpilot.common.basedir import BASEDIR
 from openpilot.common.params import Params

 METADATA_PATH = os.path.join(os.path.dirname(__file__), "../params_metadata.json")
+TORQUE_VERSIONS_JSON = os.path.join(BASEDIR, "sunnypilot", "selfdrive", "controls", "lib", "latcontrol_torque_versions.json")


 def main():
@@ -51,6 +53,33 @@ def main():

  print(f"Updated {METADATA_PATH}")

+  # update torque versions param
+  update_torque_versions_param()
+
+def update_torque_versions_param():
+  with open(TORQUE_VERSIONS_JSON) as f:
+    current_versions = json.load(f)
+
+  try:
+    with open(METADATA_PATH) as f:
+      params_metadata = json.load(f)
+
+    options = [{"value": "", "label": "Default"}]
+    for version_key, version_data in current_versions.items():
+      version_value = float(version_data["version"])
+      options.append({"value": version_value, "label": str(version_key)})
+
+    if "TorqueControlTune" in params_metadata:
+      params_metadata["TorqueControlTune"]["options"] = options
+
+      with open(METADATA_PATH, 'w') as f:
+        json.dump(params_metadata, f, indent=2)
+        f.write('\n')
+
+      print(f"Updated TorqueControlTune options in params_metadata.json with {len(options)} options: \n{options}")
+
+  except Exception as e:
+    print(f"Failed to update TorqueControlTune versions in params_metadata.json: {e}")

 if __name__ == "__main__":
  main()
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