Merge branch 'master' of https://github.com/sunnypilot/sunnypilot

.github/workflows/repo-maintenance.yaml

@@ -43,6 +43,7 @@ jobs:
       with:
         submodules: true
     - name: uv lock
+      if: github.repository == 'commaai/openpilot'
       run: |
         python3 -m ensurepip --upgrade
         pip3 install uv

common/params_keys.h

@@ -163,6 +163,7 @@ inline static std::unordered_map<std::string, ParamKeyAttributes> keys = {
     {"MaxTimeOffroad", {PERSISTENT | BACKUP, INT, "1800"}},
     {"ModelRunnerTypeCache", {CLEAR_ON_ONROAD_TRANSITION, INT}},
     {"OffroadMode", {CLEAR_ON_MANAGER_START, BOOL}},
+    {"Offroad_TiciSupport", {CLEAR_ON_MANAGER_START, JSON}},
     {"QuickBootToggle", {PERSISTENT | BACKUP, BOOL, "0"}},
     {"QuietMode", {PERSISTENT | BACKUP, BOOL, "0"}},
     {"RainbowMode", {PERSISTENT | BACKUP, BOOL, "0"}},

selfdrive/selfdrived/alerts_offroad.json

@@ -49,5 +49,10 @@
     "text": "openpilot detected excessive %1 actuation on your last drive. Please contact support at https://comma.ai/support and share your device's Dongle ID for troubleshooting.",
     "severity": 1,
     "_comment": "Set extra field to lateral or longitudinal."
+  },
+  "Offroad_TiciSupport": {
+    "text": "<b>Unsupported branch detected</b> - The current version of <b><u>%1</u></b> branch is no longer supported on the comma three. Please go to <b>[Device > Software]</b> and install a supported branch with <b><u>-tici</u></b> in the branch name for the comma three.",
+    "severity": 1,
+    "_comment": "Set extra field to the current branch name."
   }
 }

selfdrive/ui/sunnypilot/qt/offroad/settings/models_panel.cc

@@ -48,25 +48,6 @@ static const QString progressStyleError = progressStyleActive +
     "  background-color: transparent;"
     "}";
 
-std::optional<cereal::Event::Reader> safeParamEventLoad(Params& params, const std::string& paramName) {
-  std::string raw = params.get(paramName);
-  if (raw.empty()) {
-    return std::nullopt;
-  }
-
-  try {
-    AlignedBuffer alignedBuf;
-    auto buf = alignedBuf.align(raw.data(), raw.size());
-
-    capnp::FlatArrayMessageReader msg(kj::ArrayPtr<const capnp::word>(buf.begin(), buf.size()));
-    return msg.getRoot<cereal::Event>();
-  }
-  catch (const kj::Exception& e) {
-    qInfo() << "Invalid param" << QString::fromStdString(paramName) << ":" << e.getDescription().cStr();
-    return std::nullopt;
-  }
-}
-
 ModelsPanel::ModelsPanel(QWidget *parent) : QWidget(parent) {
   QVBoxLayout *main_layout = new QVBoxLayout(this);
   main_layout->setContentsMargins(50, 20, 50, 20);
@@ -152,16 +133,10 @@ ModelsPanel::ModelsPanel(QWidget *parent) : QWidget(parent) {
   list->addItem(lagd_toggle_control);
 
   // Software delay control
-  int liveDelayMaxInt = 30;
-  if (const auto event = safeParamEventLoad(params, "LiveDelay"); event && event->hasLiveDelay()) {
-    auto liveDelay = event->getLiveDelay();
-    float lateralDelay = liveDelay.getLateralDelay();
-    liveDelayMaxInt = static_cast<int>(lateralDelay * 100.0f) + 20;
-  }
   delay_control = new OptionControlSP("LagdToggleDelay", tr("Adjust Software Delay"),
-                                     tr("Adjust the software delay when Live Learning Steer Delay is toggled off."
-                                        "\nThe default software delay value is 0.2"),
-                                     "", {5, liveDelayMaxInt}, 1, false, nullptr, true, true);
+                                      tr("Adjust the software delay when Live Learning Steer Delay is toggled off."
+                                         "\nThe default software delay value is 0.2"),
+                                      "", {5, 50}, 1, false, nullptr, true, true);
 
   connect(delay_control, &OptionControlSP::updateLabels, [=]() {
     float value = QString::fromStdString(params.get("LagdToggleDelay")).toFloat();
@@ -449,27 +424,28 @@ void ModelsPanel::updateLabels() {
                    "Disable to use a fixed steering response time. Keeping this on provides the stock openpilot experience.");
   bool lagdEnabled = params.getBool("LagdToggle");
   if (lagdEnabled) {
-    if (const auto event = safeParamEventLoad(params, "LiveDelay"); event && event->hasLiveDelay()) {
-      auto liveDelay = event->getLiveDelay();
-      float lateralDelay = liveDelay.getLateralDelay();
+    auto liveDelayBytes = params.get("LiveDelay");
+    if (!liveDelayBytes.empty()) {
+      auto LD = loadCerealEvent(params, "LiveDelay");
+      float lateralDelay = LD->getLiveDelay().getLateralDelay();
       desc += QString("<br><br><b><span style=\"color:#e0e0e0\">%1</span></b> <span style=\"color:#e0e0e0\">%2 s</span>")
-                .arg(tr("Live Steer Delay:")).arg(QString::number(lateralDelay, 'f', 3));
+              .arg(tr("Live Steer Delay:")).arg(QString::number(lateralDelay, 'f', 3));
     }
   } else {
-    std::string carParamsBytes = params.get("CarParamsPersistent");
+    auto carParamsBytes = params.get("CarParamsPersistent");
     if (!carParamsBytes.empty()) {
-      capnp::FlatArrayMessageReader msg(kj::ArrayPtr<const capnp::word>(
-        reinterpret_cast<const capnp::word*>(carParamsBytes.data()),
-        carParamsBytes.size() / sizeof(capnp::word)));
-      auto carParams = msg.getRoot<cereal::CarParams>();
-      float steerDelay = carParams.getSteerActuatorDelay();
+      AlignedBuffer aligned_buf_cp;
+      capnp::FlatArrayMessageReader cmsg(aligned_buf_cp.align(carParamsBytes.data(), carParamsBytes.size()));
+      cereal::CarParams::Reader CP = cmsg.getRoot<cereal::CarParams>();
+
+      float steerDelay = CP.getSteerActuatorDelay();
       float softwareDelay = QString::fromStdString(params.get("LagdToggleDelay")).toFloat();
       float totalLag = steerDelay + softwareDelay;
       desc += QString("<br><br><span style=\"color:#e0e0e0\">"
                       "<b>%1</b> %2 s + <b>%3</b> %4 s = <b>%5</b> %6 s</span>")
-           .arg(tr("Actuator Delay:"), QString::number(steerDelay, 'f', 2),
-                tr("Software Delay:"), QString::number(softwareDelay, 'f', 2),
-                tr("Total Delay:"), QString::number(totalLag, 'f', 2));
+             .arg(tr("Actuator Delay:"), QString::number(steerDelay, 'f', 2),
+                  tr("Software Delay:"), QString::number(softwareDelay, 'f', 2),
+                  tr("Total Delay:"), QString::number(totalLag, 'f', 2));
     }
   }
   lagd_toggle_control->setDescription(desc);

selfdrive/ui/sunnypilot/qt/offroad/settings/models_panel.h

@@ -9,6 +9,7 @@
 
 #include <QProgressBar>
 
+#include "selfdrive/ui/sunnypilot/qt/util.h"
 #include "selfdrive/ui/sunnypilot/qt/offroad/settings/settings.h"
 
 class ModelsPanel : public QWidget {

selfdrive/ui/sunnypilot/qt/offroad/settings/software_panel.cc

@@ -11,12 +11,39 @@ SoftwarePanelSP::SoftwarePanelSP(QWidget *parent) : SoftwarePanel(parent) {
   // branch selector
   QObject::disconnect(targetBranchBtn, nullptr, nullptr, nullptr);
   connect(targetBranchBtn, &ButtonControlSP::clicked, [=]() {
-    InputDialog d(tr("Search Branch"), this, tr("Enter search keywords, or leave blank to list all branches."), false);
+    if (Hardware::get_device_type() == cereal::InitData::DeviceType::TICI) {
+      auto current = params.get("GitBranch");
+      QStringList allBranches = QString::fromStdString(params.get("UpdaterAvailableBranches")).split(",");
+      QStringList branches;
+      for (const QString &b : allBranches) {
+        if (b.endsWith("-tici")) {
+          branches.append(b);
+        }
+      }
+
+      for (QString b : {current.c_str(), "master-tici", "staging-tici", "release-tici"}) {
+        auto i = branches.indexOf(b);
+        if (i >= 0) {
+          branches.removeAt(i);
+          branches.insert(0, b);
+        }
+      }
+
+      QString cur = QString::fromStdString(params.get("UpdaterTargetBranch"));
+      QString selection = MultiOptionDialog::getSelection(tr("Select a branch"), branches, cur, this);
+      if (!selection.isEmpty()) {
+        params.put("UpdaterTargetBranch", selection.toStdString());
+        targetBranchBtn->setValue(QString::fromStdString(params.get("UpdaterTargetBranch")));
+        checkForUpdates();
+      }
+    } else {
+      InputDialog d(tr("Search Branch"), this, tr("Enter search keywords, or leave blank to list all branches."), false);
       d.setMinLength(0);
       const int ret = d.exec();
       if (ret) {
         searchBranches(d.text());
       }
+    }
   });
 
   // Disable Updates toggle

selfdrive/ui/sunnypilot/qt/util.cc

@@ -110,3 +110,16 @@ QStringList searchFromList(const QString &query, const QStringList &list) {
   }
   return search_results;
 }
+
+std::optional<cereal::Event::Reader> loadCerealEvent(Params& params, const std::string& _param) {
+  std::string bytes = params.get(_param);
+
+  try {
+    AlignedBuffer aligned_buf;
+    capnp::FlatArrayMessageReader cmsg(aligned_buf.align(bytes.data(), bytes.size()));
+    return cmsg.getRoot<cereal::Event>();
+  } catch (kj::Exception& e) {
+    qInfo() << "invalid " << QString::fromStdString(_param) << ":" << e.getDescription().cStr();
+    return std::nullopt;
+  }
+}

selfdrive/ui/sunnypilot/qt/util.h

@@ -15,8 +15,11 @@
 #include <QRegularExpression>
 #include <QWidget>
 
+#include "selfdrive/ui/sunnypilot/ui.h"
+
 QString getUserAgent(bool sunnylink = false);
 std::optional<QString> getSunnylinkDongleId();
 std::optional<QString> getParamIgnoringDefault(const std::string &param_name, const std::string &default_value);
 QMap<QString, QVariantMap> loadPlatformList();
 QStringList searchFromList(const QString &query, const QStringList &list);
+std::optional<cereal::Event::Reader> loadCerealEvent(Params& params, const std::string& _param);

sunnypilot/modeld_v2/modeld.py

@@ -27,7 +27,7 @@ from openpilot.sunnypilot.modeld.modeld_base import ModelStateBase
 from openpilot.sunnypilot.models.helpers import get_active_bundle
 from openpilot.sunnypilot.models.runners.helpers import get_model_runner
 
-PROCESS_NAME = "selfdrive.modeld.modeld"
+PROCESS_NAME = "selfdrive.modeld.modeld_tinygrad"
 
 
 class FrameMeta:
@@ -77,42 +77,47 @@ class ModelState(ModelStateBase):
         self.numpy_inputs[key] = np.zeros(shape, dtype=np.float32)
         # Temporal input: shape is [batch, history, features]
         if len(shape) == 3 and shape[1] > 1:
-          buffer_history_len = max(100, (shape[1] * 4 if shape[1] < 100 else shape[1]))   # Allow for higher history buffers in the future
+          buffer_history_len = shape[1] * 4 if shape[1] < 99 else shape[1]  # Allow for higher history buffers in the future
           feature_len = shape[2]
-          self.temporal_buffers[key] = np.zeros((1, buffer_history_len, feature_len), dtype=np.float32)
           features_buffer_shape = self.model_runner.input_shapes.get('features_buffer')
           if shape[1] in (24, 25) and features_buffer_shape is not None and features_buffer_shape[1] == 24:  # 20Hz
+            buffer_history_len = (features_buffer_shape[1] + 1) * 4
             step = int(-buffer_history_len / shape[1])
             self.temporal_idxs_map[key] = np.arange(step, step * (shape[1] + 1), step)[::-1]
           elif shape[1] == 25:  # Split
             skip = buffer_history_len // shape[1]
             self.temporal_idxs_map[key] = np.arange(buffer_history_len)[-1 - (skip * (shape[1] - 1))::skip]
-          elif shape[1] == buffer_history_len:  # non20hz
-            self.temporal_idxs_map[key] = np.arange(buffer_history_len)
+          elif shape[1] >= 99:  # non20hz
+            self.temporal_idxs_map[key] = np.arange(shape[1])
+          self.temporal_buffers[key] = np.zeros((1, buffer_history_len, feature_len), dtype=np.float32)
 
   @property
   def mlsim(self) -> bool:
     return bool(self.generation is not None and self.generation >= 11)
 
+  @property
+  def desire_key(self) -> str:
+    return next(key for key in self.numpy_inputs if key.startswith('desire'))
+
   def run(self, bufs: dict[str, VisionBuf], transforms: dict[str, np.ndarray],
                 inputs: dict[str, np.ndarray], prepare_only: bool) -> dict[str, np.ndarray] | None:
     # Model decides when action is completed, so desire input is just a pulse triggered on rising edge
-    inputs['desire'][0] = 0
-    new_desire = np.where(inputs['desire'] - self.prev_desire > .99, inputs['desire'], 0)
-    self.prev_desire[:] = inputs['desire']
-    self.temporal_buffers['desire'][0,:-1] = self.temporal_buffers['desire'][0,1:]
-    self.temporal_buffers['desire'][0,-1] = new_desire
+    inputs[self.desire_key][0] = 0
+    new_desire = np.where(inputs[self.desire_key] - self.prev_desire > .99, inputs[self.desire_key], 0)
+    self.prev_desire[:] = inputs[self.desire_key]
+    self.temporal_buffers[self.desire_key][0,:-1] = self.temporal_buffers[self.desire_key][0,1:]
+    self.temporal_buffers[self.desire_key][0,-1] = new_desire
 
     # Roll buffer and assign based on desire.shape[1] value
-    if self.temporal_buffers['desire'].shape[1] > self.numpy_inputs['desire'].shape[1]:
-      skip = self.temporal_buffers['desire'].shape[1] // self.numpy_inputs['desire'].shape[1]
-      self.numpy_inputs['desire'][:] = (
-        self.temporal_buffers['desire'][0].reshape(self.numpy_inputs['desire'].shape[0], self.numpy_inputs['desire'].shape[1], skip, -1).max(axis=2))
+    if self.temporal_buffers[self.desire_key].shape[1] > self.numpy_inputs[self.desire_key].shape[1]:
+      skip = self.temporal_buffers[self.desire_key].shape[1] // self.numpy_inputs[self.desire_key].shape[1]
+      self.numpy_inputs[self.desire_key][:] = (self.temporal_buffers[self.desire_key][0].reshape(
+                                               self.numpy_inputs[self.desire_key].shape[0], self.numpy_inputs[self.desire_key].shape[1], skip, -1).max(axis=2))
     else:
-      self.numpy_inputs['desire'][:] = self.temporal_buffers['desire'][0, self.temporal_idxs_map['desire']]
+      self.numpy_inputs[self.desire_key][:] = self.temporal_buffers[self.desire_key][0, self.temporal_idxs_map[self.desire_key]]
 
     for key in self.numpy_inputs:
-      if key in inputs and key not in ['desire']:
+      if key in inputs and key not in [self.desire_key]:
         self.numpy_inputs[key][:] = inputs[key]
 
     imgs_cl = {name: self.frames[name].prepare(bufs[name], transforms[name].flatten()) for name in self.model_runner.vision_input_names}
@@ -156,10 +161,11 @@ class ModelState(ModelStateBase):
     desired_accel = smooth_value(desired_accel, prev_action.desiredAcceleration, self.LONG_SMOOTH_SECONDS)
 
     desired_curvature = get_curvature_from_output(model_output, v_ego, lat_action_t, self.mlsim)
-    if v_ego > self.MIN_LAT_CONTROL_SPEED:
-      desired_curvature = smooth_value(desired_curvature, prev_action.desiredCurvature, self.LAT_SMOOTH_SECONDS)
-    else:
-      desired_curvature = prev_action.desiredCurvature
+    if self.generation is not None and self.generation >= 10: # smooth curvature for post FOF models
+      if v_ego > self.MIN_LAT_CONTROL_SPEED:
+        desired_curvature = smooth_value(desired_curvature, prev_action.desiredCurvature, self.LAT_SMOOTH_SECONDS)
+      else:
+        desired_curvature = prev_action.desiredCurvature
 
     return log.ModelDataV2.Action(desiredCurvature=float(desired_curvature),desiredAcceleration=float(desired_accel), shouldStop=bool(should_stop))
 
@@ -306,7 +312,7 @@ def main(demo=False):
     bufs = {name: buf_extra if 'big' in name else buf_main for name in model.model_runner.vision_input_names}
     transforms = {name: model_transform_extra if 'big' in name else model_transform_main for name in model.model_runner.vision_input_names}
     inputs:dict[str, np.ndarray] = {
-      'desire': vec_desire,
+      model.desire_key: vec_desire,
       'traffic_convention': traffic_convention,
     }
 

sunnypilot/modeld_v2/tests/test_buffer_logic_inspect.py

@@ -8,12 +8,16 @@ import openpilot.sunnypilot.modeld_v2.modeld as modeld_module
 
 ModelState = modeld_module.ModelState
 
-
 # These are the shapes extracted/loaded from the model onnx
 SHAPE_MODE_PARAMS = [
-  ({'desire': (1, 25, 8), 'features_buffer': (1, 25, 512), 'prev_desired_curv': (1, 25, 1)}, 'split'),
-  ({'desire': (1, 25, 8), 'features_buffer': (1, 24, 512), 'prev_desired_curv': (1, 25, 1)}, '20hz'),
-  ({'desire': (1, 100, 8), 'features_buffer': (1, 99, 512), 'prev_desired_curv': (1, 100, 1)}, 'non20hz'),
+  ({'desire': (1, 100, 8), 'features_buffer': (1, 99, 512), "nav_features": (1, 256), "nav_instructions": (1, 150)}, 'non20hz'), # Optimus Prime
+  ({'desire': (1, 100, 8), 'features_buffer': (1, 99, 512), "lat_planner_state": (1, 4),}, 'non20hz'), # farmville
+  ({'desire': (1, 100, 8), 'features_buffer': (1, 99, 512), "lateral_control_params": (1, 2), "prev_desired_curv": (1, 100, 1)}, 'non20hz'), # wd40
+  ({'desire': (1, 100, 8), 'features_buffer': (1, 99, 512), 'prev_desired_curv': (1, 100, 1), "lateral_control_params": (1, 2),}, 'non20hz'), # NTS
+  ({'desire': (1, 25, 8), 'features_buffer': (1, 24, 512)}, '20hz'), # NPR
+  ({'desire': (1, 100, 8), 'features_buffer': (1, 99, 512), 'prev_desired_curv': (1, 100, 1), "lateral_control_params": (1, 2),}, 'non20hz'), # NTS
+  ({'desire': (1, 25, 8), 'features_buffer': (1, 25, 512)}, 'split'), # Steam Powered v2
+  ({'desire_pulse': (1, 25, 8), 'features_buffer': (1, 25, 512)}, 'split'), # desire rename
 ]
 
 
@@ -95,9 +99,7 @@ def get_expected_indices(shape, constants, mode, key=None):
     idxs = np.arange(step_size, step_size * (num_elements + 1), step_size)[::-1]
     return idxs
   elif mode == 'non20hz':
-    if key and shape[1] == constants.FULL_HISTORY_BUFFER_LEN:
-      return np.arange(constants.FULL_HISTORY_BUFFER_LEN)
-    return None
+    return np.arange(shape[1])
   return None
 
 
@@ -108,6 +110,8 @@ def test_buffer_shapes_and_indices(shapes, mode, apply_patches):
   for key in shapes:
     buf = state.temporal_buffers.get(key, None)
     idxs = state.temporal_idxs_map.get(key, None)
+    if buf is None:
+      continue    # not all shapes are 3D, and the non-3D ones are not buffered
     # Buffer shape logic
     if mode == 'split':
       expected_shape = (1, constants.FULL_HISTORY_BUFFER_LEN, shapes[key][2])
@@ -116,10 +120,7 @@ def test_buffer_shapes_and_indices(shapes, mode, apply_patches):
       expected_shape = (1, constants.FULL_HISTORY_BUFFER_LEN, shapes[key][2])
       expected_idxs = get_expected_indices(shapes[key], constants, '20hz', key)
     elif mode == 'non20hz':
-      if key == 'features_buffer':
-        expected_shape = (1, shapes[key][1]*4, shapes[key][2])
-      else:
-        expected_shape = (1, shapes[key][1], shapes[key][2])
+      expected_shape = (1, shapes[key][1], shapes[key][2])
       expected_idxs = get_expected_indices(shapes[key], constants, 'non20hz', key)
 
     assert buf is not None, f"{key}: buffer not found"
@@ -130,10 +131,10 @@ def test_buffer_shapes_and_indices(shapes, mode, apply_patches):
       assert idxs is None or idxs.size == 0, f"{key}: buffer idxs should be None or empty"
 
 
-def legacy_buffer_update(buf, new_val, mode, key, constants, idxs):
+def legacy_buffer_update(buf, new_val, mode, key, constants, idxs, input_shape, prev_desire=None):
   # This is what we compare the new dynamic logic to, to ensure it does the same thing
   if mode == 'split':
-    if key == 'desire':
+    if key == 'desire' or key.startswith('desire'):
       buf[0,:-1] = buf[0,1:]
       buf[0,-1] = new_val
       return buf.reshape((1, constants.INPUT_HISTORY_BUFFER_LEN, constants.TEMPORAL_SKIP, -1)).max(axis=2)
@@ -173,15 +174,22 @@ def legacy_buffer_update(buf, new_val, mode, key, constants, idxs):
       return legacy_buf[idxs]
   elif mode == 'non20hz':
     if key == 'desire':
-      length = new_val.shape[0]
-      buf[0,:-1,:length] = buf[0,1:,:length]
-      buf[0,-1,:length] = new_val[:length]
+      desire_len = constants.DESIRE_LEN
+      if prev_desire is None:
+        prev_desire = np.zeros(desire_len, dtype=np.float32)
+      # Set first element to zero
+      new_val = new_val.copy()
+      new_val[0] = 0
+      # Shift buffer by desire len
+      buf[0][:-desire_len] = buf[0][desire_len:]
+      # Only insert new desire if rising edge
+      buf[0][-desire_len:] = np.where(new_val - prev_desire > 0.99, new_val, 0)
+      prev_desire[:] = new_val
       return buf[0]
     elif key == 'features_buffer':
-      feature_len = new_val.shape[0]
-      buf[0,:-1,:feature_len] = buf[0,1:,:feature_len]
-      buf[0,-1,:feature_len] = new_val[:feature_len]
-      return buf[0]
+      buf[0, :-1] = buf[0, 1:]
+      buf[0, -1] = new_val
+      return buf[0, -input_shape[1]:]  # (99, 512)
     elif key == 'prev_desired_curv':
       length = new_val.shape[0]
       buf[0,:-length,0] = buf[0,length:,0]
@@ -191,32 +199,18 @@ def legacy_buffer_update(buf, new_val, mode, key, constants, idxs):
 
 
 def dynamic_buffer_update(state, key, new_val, mode):
-  if key == 'desire':
-    state.temporal_buffers['desire'][0,:-1] = state.temporal_buffers['desire'][0,1:]
-    state.temporal_buffers['desire'][0,-1] = new_val
-    if state.temporal_buffers['desire'].shape[1] > state.numpy_inputs['desire'].shape[1]:
-      skip = state.temporal_buffers['desire'].shape[1] // state.numpy_inputs['desire'].shape[1]
-      return state.temporal_buffers['desire'][0].reshape(
-        state.numpy_inputs['desire'].shape[0], state.numpy_inputs['desire'].shape[1], skip, -1
-      ).max(axis=2)
-    else:
-      return state.temporal_buffers['desire'][0, state.temporal_idxs_map['desire']]
-
-  inputs = {'desire': np.zeros((1, state.constants.DESIRE_LEN), dtype=np.float32)}
-  for k, tb in state.temporal_buffers.items():
-    if k in state.temporal_idxs_map:
-      continue
-    buf_len = tb.shape[1]
-    if k in state.numpy_inputs:
-      out_len = state.numpy_inputs[k].shape[1]
-      if out_len <= buf_len:
-        state.temporal_idxs_map[k] = np.arange(buf_len)[-out_len:]
-      else:
-        state.temporal_idxs_map[k] = np.arange(buf_len)
-    else:
-      state.temporal_idxs_map[k] = np.arange(buf_len)
+  if key == 'desire' or key.startswith('desire'):
+    inputs = {k: np.zeros(v[2], dtype=np.float32) if len(v) == 3 else np.zeros(v[1], dtype=np.float32)
+              for k, v in state.model_runner.input_shapes.items() if k != key}
+    inputs[key] = new_val.copy()
+    # ModelState.run expects desire as a pulse, so we zero the first element.
+    inputs[key][0] = 0
+    state.run({}, {}, inputs, prepare_only=False)
+    return state.numpy_inputs[key]
 
   if key == 'features_buffer':
+    inputs = {k: np.zeros(v[2], dtype=np.float32) if len(v) == 3 else np.zeros(v[1], dtype=np.float32)
+              for k, v in state.model_runner.input_shapes.items() if k != 'features_buffer'}
     def run_model_stub():
       return {
         'hidden_state': np.asarray(new_val, dtype=np.float32).reshape(1, -1),
@@ -226,6 +220,8 @@ def dynamic_buffer_update(state, key, new_val, mode):
     return state.numpy_inputs['features_buffer'][0]
 
   if key == 'prev_desired_curv':
+    inputs = {k: np.zeros(v[2], dtype=np.float32) if len(v) == 3 else np.zeros(v[1], dtype=np.float32)
+              for k, v in state.model_runner.input_shapes.items() if k != 'prev_desired_curv'}
     def run_model_stub():
       return {
         'hidden_state': np.zeros((1, state.constants.FEATURE_LEN), dtype=np.float32),
@@ -241,16 +237,27 @@ def dynamic_buffer_update(state, key, new_val, mode):
 @pytest.mark.parametrize("key", ["desire", "features_buffer", "prev_desired_curv"])
 def test_buffer_update_equivalence(shapes, mode, key, apply_patches):
   state = ModelState(None)
+  if key == "desire":
+    desire_keys = [k for k in shapes.keys() if k.startswith('desire')]
+    if desire_keys:
+      actual_key = desire_keys[0]  # Use the first (and likely only) desire key
+  else:
+    actual_key = key
+
+  if actual_key not in state.numpy_inputs:
+    pytest.skip()
+
   constants = DummyModelRunner(shapes).constants
-  buf = state.temporal_buffers.get(key, None)
-  idxs = state.temporal_idxs_map.get(key, None)
-  input_shape = shapes[key]
+  buf = state.temporal_buffers.get(actual_key, None)
+  idxs = state.temporal_idxs_map.get(actual_key, None)
+  input_shape = shapes[actual_key]
+  prev_desire = np.zeros(constants.DESIRE_LEN, dtype=np.float32) if key == 'desire' else None
+
   for step in range(20):    # multiple steps to ensure history is built up
     new_val = np.full((input_shape[2],), step, dtype=np.float32)
-    expected = legacy_buffer_update(buf, new_val, mode, key, constants, idxs)
-    actual = dynamic_buffer_update(state, key, new_val, mode)
-    # Model returns the reduced numpy_inputs history, compare the last n entries so the test is checking the same slices.
+    expected = legacy_buffer_update(buf, new_val, mode, actual_key, constants, idxs, input_shape, prev_desire)
+    actual = dynamic_buffer_update(state, actual_key, new_val, mode)
     if expected is not None and actual is not None and expected.shape != actual.shape:
       if expected.ndim == 2 and actual.ndim == 2 and expected.shape[1] == actual.shape[1]:
         expected = expected[-actual.shape[0]:]
-    assert np.allclose(actual, expected), f"{mode} {key}: dynamic buffer update does not match legacy logic"
+    assert np.allclose(actual, expected), f"{mode} {actual_key}: dynamic buffer update does not match legacy logic"

sunnypilot/models/fetcher.py

@@ -148,7 +148,7 @@ class ModelFetcher:
     except SSLError as e:
       cloudlog.warning(f"SSL error while fetching models: {e}")
     except RequestException as e:
-      cloudlog.exception(f"Request transport error while fetching models: {e}")
+      cloudlog.warning(f"Request transport error while fetching models: {e}")
     except Exception as e:
       cloudlog.exception(f"Unexpected error fetching models: {e}")
 

sunnypilot/models/helpers.py

@@ -19,7 +19,7 @@ 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 = 9
+CURRENT_SELECTOR_VERSION = 10
 REQUIRED_MIN_SELECTOR_VERSION = 9
 
 USE_ONNX = os.getenv('USE_ONNX', PC)

sunnypilot/system/hardware/c3/launch_env.sh

@@ -9,3 +9,5 @@ export VECLIB_MAXIMUM_THREADS=1
 if [ -z "$AGNOS_VERSION" ]; then
   export AGNOS_VERSION="12.8"
 fi
+
+export STAGING_ROOT="/data/safe_staging"

system/hardware/hardwared.py

@@ -24,7 +24,7 @@ from openpilot.system.statsd import statlog
 from openpilot.common.swaglog import cloudlog
 from openpilot.system.hardware.power_monitoring import PowerMonitoring
 from openpilot.system.hardware.fan_controller import TiciFanController
-from openpilot.system.version import terms_version, training_version
+from openpilot.system.version import terms_version, training_version, get_build_metadata
 
 ThermalStatus = log.DeviceState.ThermalStatus
 NetworkType = log.DeviceState.NetworkType
@@ -326,6 +326,16 @@ def hardware_thread(end_event, hw_queue) -> None:
     startup_conditions["not_always_offroad"] = not offroad_mode
     onroad_conditions["not_always_offroad"] = not offroad_mode
 
+    # if an unsupported device and branch is detected, going onroad is blocked
+    # only allow going onroad when:
+    # - TIZI, or
+    # - TICI and channel_type is "tici"
+    build_metadata = get_build_metadata()
+    is_unsupported_combo = TICI and HARDWARE.get_device_type() == "tici" and build_metadata.channel_type != "tici"
+    startup_conditions["not_tici"] = not is_unsupported_combo
+    onroad_conditions["not_tici"] = not is_unsupported_combo
+    set_offroad_alert("Offroad_TiciSupport", is_unsupported_combo, extra_text=build_metadata.channel)
+
     # if the temperature enters the danger zone, go offroad to cool down
     onroad_conditions["device_temp_good"] = thermal_status < ThermalStatus.danger
     extra_text = f"{offroad_comp_temp:.1f}C"

system/updated/updated.py

@@ -7,7 +7,6 @@ import psutil
 import shutil
 import signal
 import fcntl
-import time
 import threading
 from collections import defaultdict
 from pathlib import Path
@@ -19,7 +18,7 @@ from openpilot.common.markdown import parse_markdown
 from openpilot.common.swaglog import cloudlog
 from openpilot.selfdrive.selfdrived.alertmanager import set_offroad_alert
 from openpilot.system.hardware import AGNOS, HARDWARE
-from openpilot.system.version import get_build_metadata
+from openpilot.system.version import get_build_metadata, SP_BRANCH_MIGRATIONS
 
 LOCK_FILE = os.getenv("UPDATER_LOCK_FILE", "/tmp/safe_staging_overlay.lock")
 STAGING_ROOT = os.getenv("UPDATER_STAGING_ROOT", "/data/safe_staging")
@@ -190,15 +189,6 @@ def finalize_update() -> None:
   run(["git", "reset", "--hard"], FINALIZED)
   run(["git", "submodule", "foreach", "--recursive", "git", "reset", "--hard"], FINALIZED)
 
-  cloudlog.info("Starting git cleanup in finalized update")
-  t = time.monotonic()
-  try:
-    run(["git", "gc"], FINALIZED)
-    run(["git", "lfs", "prune"], FINALIZED)
-    cloudlog.event("Done git cleanup", duration=time.monotonic() - t)
-  except subprocess.CalledProcessError:
-    cloudlog.exception(f"Failed git cleanup, took {time.monotonic() - t:.3f} s")
-
   set_consistent_flag(True)
   cloudlog.info("done finalizing overlay")
 
@@ -242,9 +232,7 @@ class Updater:
     b: str | None = self.params.get("UpdaterTargetBranch")
     if b is None:
       b = self.get_branch(BASEDIR)
-    b = {
-      ("tici", "release3"): "release-tici"
-    }.get((HARDWARE.get_device_type(), b), b)
+    b = SP_BRANCH_MIGRATIONS.get((HARDWARE.get_device_type(), b), b)
     return b
 
   @property

system/version.py

@@ -16,6 +16,13 @@ MASTER_SP_BRANCHES = ['master']
 RELEASE_BRANCHES = ['release3-staging', 'release3', 'release-tici', 'nightly'] + RELEASE_SP_BRANCHES
 TESTED_BRANCHES = RELEASE_BRANCHES + ['devel', 'devel-staging', 'nightly-dev'] + TESTED_SP_BRANCHES
 
+SP_BRANCH_MIGRATIONS = {
+  ("tici", "staging-c3-new"): "staging-tici",
+  ("tici", "dev-c3-new"): "staging-tici",
+  ("tici", "master"): "master-tici",
+  ("tici", "master-dev-c3-new"): "master-tici",
+}
+
 BUILD_METADATA_FILENAME = "build.json"
 
 training_version: str = "0.2.0"
@@ -85,7 +92,8 @@ class OpenpilotMetadata:
 
   @property
   def sunnypilot_remote(self) -> bool:
-    return self.git_normalized_origin == "github.com/sunnypilot/sunnypilot"
+    return self.git_normalized_origin in ("github.com/sunnypilot/sunnypilot",
+                                          "github.com/sunnypilot/openpilot")
 
   @property
   def git_normalized_origin(self) -> str:
@@ -127,7 +135,9 @@ class BuildMetadata:
 
   @property
   def channel_type(self) -> str:
-    if self.development_channel:
+    if self.channel.endswith("-tici"):
+      return "tici"
+    elif self.development_channel:
       return "development"
     elif self.channel.startswith("staging-"):
       return "staging"

uv.lock

@@ -510,27 +510,27 @@ wheels = [
 
 [[package]]
 name = "fonttools"
-version = "4.59.2"
+version = "4.59.1"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/0d/a5/fba25f9fbdab96e26dedcaeeba125e5f05a09043bf888e0305326e55685b/fonttools-4.59.2.tar.gz", hash = "sha256:e72c0749b06113f50bcb80332364c6be83a9582d6e3db3fe0b280f996dc2ef22", size = 3540889, upload-time = "2025-08-27T16:40:30.97Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/11/7f/29c9c3fe4246f6ad96fee52b88d0dc3a863c7563b0afc959e36d78b965dc/fonttools-4.59.1.tar.gz", hash = "sha256:74995b402ad09822a4c8002438e54940d9f1ecda898d2bb057729d7da983e4cb", size = 3534394, upload-time = "2025-08-14T16:28:14.266Z" }
 wheels = [
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