better

.github/workflows/test_models.yml

@@ -46,23 +46,6 @@ jobs:
           CHECK_OOB: 0
           GMMU: 0
         run: tools/op.sh test -v openpilot/sunnypilot/modeld_v2/tests/test_convert_upstream_pkl.py
-      - name: Resolve commaai's tinygrad pin, which their precompiled chestnut model is built and converted with
-        id: upstream-tg
-        env:
-          GH_TOKEN: ${{ github.token }}
-        run: |
-          read -r sha url < <(gh api repos/commaai/openpilot/contents/tinygrad_repo --jq '.sha + " " + .submodule_git_url')
-          echo "commaai/openpilot master pins $url@$sha, ours is $(git rev-parse HEAD:tinygrad_repo)"
-          dir="$RUNNER_TEMP/upstream_tinygrad"
-          git init -q "$dir" && git -C "$dir" fetch -q --depth 1 "$url" "$sha" && git -C "$dir" checkout -q FETCH_HEAD
-          echo "path=$dir" >> "$GITHUB_OUTPUT"
-      - name: Convert a pickled USB+AMD jit under commaai's tinygrad, as the chestnut model build does
-        env:
-          DEV: MOCKUSB+AMD
-          CHECK_OOB: 0
-          GMMU: 0
-          PYTHONPATH: ${{ steps.upstream-tg.outputs.path }}:${{ github.workspace }}
-        run: tools/op.sh test -v openpilot/sunnypilot/modeld_v2/tests/test_convert_upstream_pkl.py
       - name: Where tinygrad moved, for the helper or failure point named above
         if: failure() && github.event_name == 'pull_request'
         run: |

openpilot/cereal/custom.capnp

@@ -389,6 +389,44 @@ struct CarControlSP @0xa5cd762cd951a455 {
   leadOne @2 :LeadData;
   leadTwo @3 :LeadData;
   intelligentCruiseButtonManagement @4 :IntelligentCruiseButtonManagement;
+  smartCruiseControl @5 :SmartCruiseControl;
+  speedLimit @6 :SpeedLimit;
+  laneChange @7 :LaneChange;
+  driverMonitoring @8 :DriverMonitoring;
+  leadFollowing @9 :Bool;
+
+  struct SmartCruiseControl {
+    visionState @0 :LongitudinalPlanSP.SmartCruiseControl.VisionState;
+    mapState @1 :LongitudinalPlanSP.SmartCruiseControl.MapState;
+  }
+
+  struct SpeedLimit {
+    assistState @0 :LongitudinalPlanSP.SpeedLimit.AssistState;
+    speedLimitFinalLast @1 :Float32;
+  }
+
+  struct DriverMonitoring {
+    alertLevel @0 :UInt8;
+    visionPolicy @1 :Bool;
+  }
+
+  struct LaneChange {
+    state @0 :State;
+    direction @1 :Direction;
+
+    enum State {
+      off @0;
+      preLaneChange @1;
+      laneChangeStarting @2;
+      laneChangeFinishing @3;
+    }
+
+    enum Direction {
+      none @0;
+      left @1;
+      right @2;
+    }
+  }
 
   struct Param {
     key @0 :Text;

openpilot/common/params_keys.h

@@ -149,7 +149,6 @@ inline static std::unordered_map<std::string, ParamKeyAttributes> keys = {
     {"Version", {PERSISTENT, STRING}},
 
     // --- sunnypilot params --- //
-    {"AccelBoostSP", {PERSISTENT | BACKUP, BOOL, "1"}},
     {"ApiCache_DriveStats", {PERSISTENT, JSON}},
     {"AutoLaneChangeBsmDelay", {PERSISTENT | BACKUP, BOOL, "0"}},
     {"AutoLaneChangeTimer", {PERSISTENT | BACKUP, INT, "0"}},

openpilot/selfdrive/car/helpers.py

@@ -63,5 +63,9 @@ def convert_carControlSP(struct: capnp.lib.capnp._DynamicStructReader) -> struct
   struct_dataclass.intelligentCruiseButtonManagement = structs.IntelligentCruiseButtonManagement(
     **remove_deprecated(struct_dict.get('intelligentCruiseButtonManagement', {}))
   )
+  struct_dataclass.smartCruiseControl = structs.CarControlSP.SmartCruiseControl(**struct_dict.get('smartCruiseControl', {}))
+  struct_dataclass.speedLimit = structs.CarControlSP.SpeedLimit(**struct_dict.get('speedLimit', {}))
+  struct_dataclass.laneChange = structs.CarControlSP.LaneChange(**struct_dict.get('laneChange', {}))
+  struct_dataclass.driverMonitoring = structs.CarControlSP.DriverMonitoring(**struct_dict.get('driverMonitoring', {}))
 
   return struct_dataclass

openpilot/selfdrive/controls/lib/longitudinal_mpc_lib/long_mpc.py

@@ -57,6 +57,14 @@ COMFORT_BRAKE = 2.5
 STOP_DISTANCE = 6.0
 MIN_X_LEAD_FACTOR = 0.5
 
+# aggressive follows close to stock Hyundai SCC closest setting: 2.4 m stopped (stock 2.4), 16.3 m @ 31 mph (stock 14.8), 22 m @ 40 (20.2), 27.5 m @ 48 (25.2)
+# the MPC settles ~0.8 m short of its target at standstill, so a 3.2 m target stops at ~2.4 m
+# the short stop gap fades out by 10 m/s and moving gaps are ~0.1 s over stock: exact stock gaps crash in sim when the lead brakes 2 m/s^2 to a stop
+AGGRESSIVE_STOP_DISTANCE_BP = [0., 3., 10.]
+AGGRESSIVE_STOP_DISTANCE_V = [3.2, 3.2, STOP_DISTANCE]
+AGGRESSIVE_T_FOLLOW_BP = [0., 10., 14., 16., 18., 20., 21.3, 30.]
+AGGRESSIVE_T_FOLLOW_V = [0.74, 0.74, 0.74, 0.81, 0.90, 0.945, 1.0, 1.1]
+
 def get_jerk_factor(personality=log.LongitudinalPersonality.standard):
   if personality==log.LongitudinalPersonality.relaxed:
     return 1.0
@@ -309,6 +317,11 @@ class LongitudinalMpc:
 
   def update(self, radarstate, personality=log.LongitudinalPersonality.standard):
     t_follow = get_T_FOLLOW(personality)
+    stop_distance_offset = 0.
+    if personality == log.LongitudinalPersonality.aggressive:
+      t_follow = float(np.interp(self.x0[1], AGGRESSIVE_T_FOLLOW_BP, AGGRESSIVE_T_FOLLOW_V))
+      # STOP_DISTANCE is compiled into the solver, so move the lead forward instead
+      stop_distance_offset = STOP_DISTANCE - float(np.interp(self.x0[1], AGGRESSIVE_STOP_DISTANCE_BP, AGGRESSIVE_STOP_DISTANCE_V))
 
     lead_xv_0 = self.process_lead(radarstate.leadOne)
     lead_xv_1 = self.process_lead(radarstate.leadTwo)
@@ -316,8 +329,8 @@ class LongitudinalMpc:
     # To estimate a safe distance from a moving lead, we calculate how much stopping
     # distance that lead needs as a minimum. We can add that to the current distance
     # and then treat that as a stopped car/obstacle at this new distance.
-    lead_0_obstacle = lead_xv_0[:,0] + get_stopped_equivalence_factor(lead_xv_0[:,1])
-    lead_1_obstacle = lead_xv_1[:,0] + get_stopped_equivalence_factor(lead_xv_1[:,1])
+    lead_0_obstacle = lead_xv_0[:,0] + get_stopped_equivalence_factor(lead_xv_0[:,1]) + stop_distance_offset
+    lead_1_obstacle = lead_xv_1[:,0] + get_stopped_equivalence_factor(lead_xv_1[:,1]) + stop_distance_offset
 
     x_obstacles = np.column_stack([lead_0_obstacle, lead_1_obstacle])
     self.source = MPC_SOURCES[np.argmin(x_obstacles[0])]

openpilot/selfdrive/controls/lib/longitudinal_planner.py

@@ -2,6 +2,7 @@
 import numpy as np
 
 import openpilot.cereal.messaging as messaging
+from openpilot.cereal import log
 from opendbc.car.interfaces import ACCEL_MIN, ACCEL_MAX
 from openpilot.common.constants import CV
 from openpilot.common.filter_simple import FirstOrderFilter
@@ -20,6 +21,7 @@ from openpilot.sunnypilot.selfdrive.controls.lib.longitudinal_planner import Lon
 J_CRUISE_VALS = [1.6, 1.2, 0.8, 0.6]
 J_CRUISE_BP = [0., 10.0, 25., 40.]
 A_CRUISE_MIN = -0.5
+AGGRESSIVE_LEAD_ONLY_DIST = 40.  # m
 CONTROL_N_T_IDX = ModelConstants.T_IDXS[:CONTROL_N]
 
 
@@ -114,6 +116,10 @@ class LongitudinalPlanner(LongitudinalPlannerSP):
     candidates = [(output_a_target_mpc, self.mpc.source, output_should_stop_mpc),
                   (self.a_cruise, LongitudinalPlanSource.cruise, cruise_should_stop),
                   (output_a_target_e2e, LongitudinalPlanSource.e2e, output_should_stop_e2e)]
+    # aggressive: with a close radar lead, follow it like stock SCC instead of the model's larger stop gap
+    lead = sm['radarState'].leadOne
+    if sm['selfdriveState'].personality == log.LongitudinalPersonality.aggressive and lead.radar and lead.dRel < AGGRESSIVE_LEAD_ONLY_DIST:
+      candidates.pop()
 
     output_a_target, self.mpc.source, _ = min(candidates, key=lambda c: c[0])
     self.output_should_stop = any(should_stop for _, _, should_stop in candidates)

openpilot/selfdrive/controls/tests/test_following_distance.py

@@ -4,7 +4,9 @@ from openpilot.common.parameterized import parameterized_class
 
 from openpilot.cereal import log
 
-from openpilot.selfdrive.controls.lib.longitudinal_mpc_lib.long_mpc import get_safe_obstacle_distance, get_stopped_equivalence_factor, get_T_FOLLOW
+import numpy as np
+from openpilot.selfdrive.controls.lib.longitudinal_mpc_lib.long_mpc import get_safe_obstacle_distance, get_stopped_equivalence_factor, get_T_FOLLOW, \
+  STOP_DISTANCE, AGGRESSIVE_STOP_DISTANCE_BP, AGGRESSIVE_STOP_DISTANCE_V, AGGRESSIVE_T_FOLLOW_BP, AGGRESSIVE_T_FOLLOW_V
 from openpilot.selfdrive.test.longitudinal_maneuvers.maneuver import Maneuver
 
 
@@ -38,7 +40,12 @@ class TestFollowingDistance(OpenpilotTestCase):
   def test_following_distance(self):
     v_lead = float(self.speed)
     simulation_steady_state = run_following_distance_simulation(v_lead, personality=self.personality)
-    correct_steady_state = desired_follow_distance(v_lead, v_lead, get_T_FOLLOW(self.personality))
+    if self.personality == log.LongitudinalPersonality.aggressive:
+      t_follow = float(np.interp(v_lead, AGGRESSIVE_T_FOLLOW_BP, AGGRESSIVE_T_FOLLOW_V))
+      stop_distance = float(np.interp(v_lead, AGGRESSIVE_STOP_DISTANCE_BP, AGGRESSIVE_STOP_DISTANCE_V))
+      correct_steady_state = desired_follow_distance(v_lead, v_lead, t_follow) - (STOP_DISTANCE - stop_distance)
+    else:
+      correct_steady_state = desired_follow_distance(v_lead, v_lead, get_T_FOLLOW(self.personality))
     abs_err_margin = 0.5 if v_lead > 0.0 else 1.15
     self.assertAlmostEqual(simulation_steady_state, correct_steady_state,
                            delta=0.2 * correct_steady_state + abs_err_margin)

openpilot/selfdrive/ui/sunnypilot/layouts/settings/cruise.py

@@ -57,12 +57,6 @@ class CruiseLayout(Widget):
       description=tr("Use map data to estimate the appropriate speed to drive through turns ahead."),
       param="SmartCruiseControlMap")
 
-    self.accel_boost_toggle = toggle_item_sp(
-      title=tr("Acceleration Boost"),
-      description=tr("Adds a small push on top of sunnypilot's own acceleration, stronger in Aggressive and gentler in Relaxed. " +
-                     "Eases off in curves and when sunnypilot slows or stops. Never goes past your set speed, and lead-car following still comes first."),
-      param="AccelBoostSP")
-
     self.custom_acc_toggle = toggle_item_sp(
       title=tr("Custom ACC Speed Increments"),
       description="",
@@ -92,7 +86,6 @@ class CruiseLayout(Widget):
       self.icbm_toggle,
       self.scc_v_toggle,
       self.scc_m_toggle,
-      self.accel_boost_toggle,
       self.custom_acc_toggle,
       self.custom_acc_short_increment,
       self.custom_acc_long_increment,
@@ -143,8 +136,6 @@ class CruiseLayout(Widget):
           self.icbm_toggle.set_description(new_desc)
           self.icbm_toggle.show_description(True)
 
-      self.accel_boost_toggle.action_item.set_enabled(has_long)
-
       if has_long or has_icbm:
         self.custom_acc_toggle.action_item.set_enabled(((has_long and not ui_state.CP.pcmCruise) or has_icbm) and ui_state.is_offroad())
         self.scc_v_toggle.action_item.set_enabled(True)
@@ -160,7 +151,6 @@ class CruiseLayout(Widget):
     else:
       has_icbm = has_long = False
       self.icbm_toggle.action_item.set_enabled(False)
-      self.accel_boost_toggle.action_item.set_enabled(False)
       self.icbm_toggle.set_description(tr(ONROAD_ONLY_DESCRIPTION))
 
     show_custom_acc_desc = False

openpilot/sunnypilot/modeld_v2/convert_upstream_pkl.py

@@ -66,75 +66,47 @@ def _patched(buf, topo) -> tuple[bytearray, dict]:
   return blob, rows
 
 
-def _packed_args(program) -> dict[int, int]:
-  from tinygrad.device import TinyELF
-  params = getattr(program.arg, "params", None) or ()
-  return {off: p.arg.slot for (off, _), p in zip(TinyELF.iter_sig(tuple((None, p.addrspace, p.dtype, ()) for p in params)), params, strict=True)}
-
-
-def _outer_slot(u, packed: dict[int, int]) -> int | None:
-  from tinygrad.uop.ops import Ops
-  if u.op is Ops.PARAM:
-    return None if packed else u.arg.slot
-  if u.op.name == "REFPARAM":
-    return u.arg.slot
-  if packed and u.op is Ops.LOAD and u.src[0].op is Ops.INDEX and _root(u.src[0].src[0]).op is Ops.PARAM:
-    index = _evaluate(u.src[0].src[1], {}, packed)
-    return None if index is None else packed.get(index * u.dtype.itemsize)
-  return None
-
-
-def _evaluate(u, env, packed: dict[int, int]):
+def _evaluate(u, env):
   from tinygrad.uop.ops import GroupOp, Ops, exec_alu
   if u.op in (Ops.AFTER, Ops.CAST, Ops.BITCAST):
-    return _evaluate(u.src[0], env, packed)
+    return _evaluate(u.src[0], env)
   if u.op is Ops.CONST:
     return u.arg
-  if u.op is Ops.RANGE:
-    return env.get(u)
-  if (slot := _outer_slot(u, packed)) is not None:
-    return env.get(slot)
+  if u.op in (Ops.PARAM, Ops.RANGE):
+    return env.get(u.arg.slot if u.op is Ops.PARAM else u)
   if u.op is Ops.LOAD:
-    table, index = _root(u.src[0].src[0]), _evaluate(u.src[0].src[1], env, packed)
+    table, index = _root(u.src[0].src[0]), _evaluate(u.src[0].src[1], env)
     return struct.unpack_from(u.dtype.fmt, table.arg, index * u.dtype.itemsize)[0] if table.op is Ops.BINARY and index is not None else None
-  if u.op in GroupOp.ALU and None not in (values := [_evaluate(x, env, packed) for x in u.src]):
+  if u.op in GroupOp.ALU and None not in (values := [_evaluate(x, env) for x in u.src]):
     return exec_alu(u.op, u.dtype, values, *([False] if "truncate_output" in inspect.signature(exec_alu).parameters else []))
   return None
 
 
 def _input_pokes(submit, kernargs) -> dict[int, tuple[int, int]]:
   from tinygrad.uop.ops import Ops
-  outer, packed = dict(enumerate(submit.src[1:])), _packed_args(submit.src[0])
+  outer = dict(enumerate(submit.src[1:]))
   kernargs_params = {i for i, a in outer.items() if a.op is Ops.GETADDR and _root(a.src[0]) is kernargs}
   inputs = {i: _root(a.src[0]).arg.slot for i, a in outer.items() if a.op is Ops.GETADDR and _root(a.src[0]).op is Ops.PARAM}
   pokes = {}
   for call in (u for u in submit.src[0].src[0].toposort() if u.op is Ops.CALL and len(u.src) > 3):
     _, address, value, *_ = call.src[1:]
-    used = list({slot for x in value.toposort() if (slot := _outer_slot(x, packed)) is not None} & inputs.keys())
-    if len(used) != 1 or not kernargs_params & {_outer_slot(x, packed) for x in address.toposort()}:
+    used = list({x.arg.slot for x in value.toposort() if x.op is Ops.PARAM} & inputs.keys())
+    if len(used) != 1 or not kernargs_params & {x.arg.slot for x in address.toposort() if x.op is Ops.PARAM}:
       continue
     ranges = list(dict.fromkeys(x for x in (*address.toposort(), *value.toposort()) if x.op is Ops.RANGE))
     for trip in itertools.product(*[range(int(r.vmax) + 1) for r in ranges]):
       env = dict.fromkeys(outer, 0) | dict(zip(ranges, trip, strict=True))
-      if (offset := _evaluate(address, env, packed)) % 8 == 0:
-        pokes[offset] = (inputs[used[0]], _evaluate(value, env, packed))
+      if (offset := _evaluate(address, env)) % 8 == 0:
+        pokes[offset] = (inputs[used[0]], _evaluate(value, env))
   return pokes
 
 
-def _elf(image: bytes, rodata: int, entry: int) -> bytes:
-  spans = [(".text", 0, rodata), (".rodata", rodata, len(image))] if entry < rodata else \
-          [(".data", 0, rodata), (".rodata", rodata, entry), (".text", entry, len(image))]
-  sections, names = [(0, 0, 0, 0, b"")], b"\0"
-  for name, start, end in (span for span in spans if span[1] < span[2]):
-    sections.append((len(names), 1, 6 if name == ".text" else 2, ALIGNMENT + start, image[start:end]))
-    names += name.encode() + b"\0"
-  sections.append((len(names), 3, 0, 0, names + b".shstrtab\0"))
-  offset, data, headers = 64, b"", []
-  for name, kind, flags, address, content in sections:
-    headers.append(struct.pack("<IIQQQQIIQQ", name, kind, flags, address, offset, len(content), 0, 0, 1, 0))
+def _elf(image: bytes, rodata: int) -> bytes:
+  names, offset, data, headers = b"\0.text\0.rodata\0.shstrtab\0", 64, b"", []
+  for name, kind, address, content in [(0, 0, 0, b""), (1, 1, ALIGNMENT, image[:rodata]), (7, 1, ALIGNMENT + rodata, image[rodata:]), (15, 3, 0, names)]:
+    headers.append(struct.pack("<IIQQQQIIQQ", name, kind, 2 if kind == 1 else 0, address, offset, len(content), 0, 0, 1, 0))
     data, offset = data + content, offset + len(content)
-  header = struct.pack("<HHIQQQIHHHHHH", 1, 0xe0, 1, 0, 0, offset, 0, 64, 0, 0, 64, len(sections), len(sections) - 1)
-  return b"\x7fELF\x02\x01\x01" + bytes(9) + header + data + b"".join(headers)
+  return b"\x7fELF\x02\x01\x01" + bytes(9) + struct.pack("<HHIQQQIHHHHHH", 1, 0xe0, 1, 0, 0, offset, 0, 64, 0, 0, 64, 4, 3) + data + b"".join(headers)
 
 
 def convert(jit, kwargs: dict, frame: dict, target) -> tuple[dict, memoryview]:
@@ -183,7 +155,7 @@ def convert(jit, kwargs: dict, frame: dict, target) -> tuple[dict, memoryview]:
     if image_alloc not in programs:
       image = bytes(_patched(image_alloc, topo)[0])
       rodata = next(r for r in range(0, len(image) - 24, 64) if r + struct.unpack_from("<q", image, r + 16)[0] == entry)
-      programs[image_alloc] = blob.add(_elf(image, rodata, entry))
+      programs[image_alloc] = blob.add(_elf(image, rodata))
     start, size = _view(arguments.src[0])
     args = []
     for slot in range(start, start + unwrap(size), 8):

openpilot/sunnypilot/modeld_v2/helpers.py

@@ -264,8 +264,8 @@ def _program_uop(call: dict, lib: bytes):
     parameter = UOp.param(call["globals"][compact_slot], _dtype(dtype), math.prod(shape))
     image = (shape[0], shape[1]) if len(shape) == 3 and shape[2] == 4 else None
     parameters.append(parameter.replace(arg=_fields(parameter.arg, name=name, image=image)))
-  info = _fields(ProgramInfo, global_size=tuple(call["global_size"]), local_size=tuple(call["local_size"]), params=tuple(parameters),
-                 globals=tuple(call["globals"]), outs=tuple(call["outs"]), ins=tuple(call["ins"]), target=_fields(Target, **call["target"]))
+  info = _fields(ProgramInfo, global_size=tuple(call["global_size"]), local_size=tuple(call["local_size"]), globals=tuple(call["globals"]),
+                 outs=tuple(call["outs"]), ins=tuple(call["ins"]), target=_fields(Target, **call["target"]))
   return UOp(Ops.PROGRAM, src=(UOp(Ops.SINK, arg=KernelInfo(name=call["name"])), UOp(Ops.LINEAR, src=tuple(parameters)),
                                UOp(Ops.SOURCE, arg=""), UOp(Ops.BINARY, arg=lib)), arg=info)
 

openpilot/sunnypilot/modeld_v2/modeld.py

@@ -242,7 +242,7 @@ class ModelState(ModelStateBase):
       desired_curvature = get_curvature_from_output(model_output, curvature_plan, v_ego, lat_action_t, self.mlsim)
     else:
       desired_accel = model_output['action'][0, 1]
-      desired_curvature = model_output['action'][0, 0] / (max(2.5, v_ego))**2
+      desired_curvature = model_output['action'][0, 0] / (max(1.0, v_ego))**2
     if blendful is not None:
       desired_curvature += blendful(desired_curvature)
 

openpilot/sunnypilot/modeld_v2/tests/test_convert_upstream_pkl.py

@@ -6,7 +6,6 @@ See the LICENSE.md file in the root directory for more details.
 """
 import os
 import re
-import struct
 import sys
 import tempfile
 import unittest
@@ -26,8 +25,8 @@ if sys.platform == "darwin" and os.environ.get("DEV", "").startswith("MOCKUSB"):
 
 from openpilot.common.test import OpenpilotTestCase
 from openpilot.sunnypilot.modeld_v2 import convert_upstream_pkl
-from openpilot.sunnypilot.modeld_v2.convert_upstream_pkl import _elf, convert
-from openpilot.sunnypilot.modeld_v2.helpers import ALIGNMENT, PlainJit, load_model
+from openpilot.sunnypilot.modeld_v2.convert_upstream_pkl import convert
+from openpilot.sunnypilot.modeld_v2.helpers import PlainJit, load_model
 from openpilot.sunnypilot.modeld_v2.plain_artifact_compiler import capture_frame
 
 IMG, DESIRE, STATE, OUT = (6, 8, 8), (8,), (4, 16), (1, 32)
@@ -120,18 +119,3 @@ class TestConvertUpstreamPkl(OpenpilotTestCase):
     bundle = load_model(out, cache=False, verify=True)
     assert bundle["metadata"] == {"name": "tiny"} and bundle["input_specs"] == self.input_specs and bundle["output_specs"] == self.output_specs
     self.assert_matches_eager(bundle["run"], 6)
-
-
-class TestKernelElf(OpenpilotTestCase):
-  def test_sections_follow_the_code(self):
-    from tinygrad.runtime.support.elf import elf_loader
-    code = bytes(range(1, 129))
-    for rodata, entry in ((len(code), 0), (0, 256)):
-      image = bytearray(code + bytes(64) if entry < rodata else bytes(256) + code)
-      struct.pack_into("<q", image, rodata + 16, entry - rodata)
-      loaded, sections, _ = elf_loader(_elf(bytes(image), rodata, entry))
-      headers = {section.name: section.header for section in sections}
-      assert bytes(loaded[ALIGNMENT:]) == bytes(image), "the uploaded program differs from the pickle's"
-      assert headers[".rodata"].sh_addr == ALIGNMENT + rodata, "the loader reads the kernel descriptor at .rodata"
-      text = headers[".text"]
-      assert text.sh_addr <= ALIGNMENT + entry < text.sh_addr + text.sh_size, "the amd mock sizes the code from the entry to the end of .text"

openpilot/sunnypilot/selfdrive/controls/controlsd_ext.py

@@ -31,7 +31,7 @@ class ControlsExt(ModelStateBase):
     self.CP_SP = messaging.log_from_bytes(params.get("CarParamsSP", block=True), custom.CarParamsSP)
     cloudlog.info("controlsd_ext got CarParamsSP")
 
-    self.sm_services_ext = ['radarState', 'selfdriveStateSP']
+    self.sm_services_ext = ['radarState', 'selfdriveStateSP', 'longitudinalPlanSP']
     self.pm_services_ext = ['carControlSP']
 
   def initialize_lateral_control(self, lac, CI, dt):
@@ -104,6 +104,31 @@ class ControlsExt(ModelStateBase):
     CC_SP.intelligentCruiseButtonManagement.sendButton = icbm_src.sendButton
     CC_SP.intelligentCruiseButtonManagement.vTarget = icbm_src.vTarget
 
+    # Smart Cruise Control state
+    scc_src = sm['longitudinalPlanSP'].smartCruiseControl
+    CC_SP.smartCruiseControl.visionState = scc_src.vision.state
+    CC_SP.smartCruiseControl.mapState = scc_src.map.state
+
+    # Speed Limit Assist state
+    sl_src = sm['longitudinalPlanSP'].speedLimit
+    CC_SP.speedLimit.assistState = sl_src.assist.state
+    CC_SP.speedLimit.speedLimitFinalLast = sl_src.resolver.speedLimitFinalLast
+
+    # Lane change state
+    meta = sm['modelV2'].meta
+    CC_SP.laneChange.state = str(meta.laneChangeState)
+    CC_SP.laneChange.direction = str(meta.laneChangeDirection)
+
+    # Driver monitoring alert
+    dm = sm['driverMonitoringState']
+    CC_SP.driverMonitoring.alertLevel = dm.alertLevel.raw
+    CC_SP.driverMonitoring.visionPolicy = dm.activePolicy == 'vision'
+
+    # Planner following a lead, the model path (e2e) wins often while following so count it when there is a lead
+    long_plan = sm['longitudinalPlan']
+    CC_SP.leadFollowing = str(long_plan.longitudinalPlanSource) in ('lead0', 'lead1', 'lead2') or \
+                          (str(long_plan.longitudinalPlanSource) == 'e2e' and long_plan.hasLead)
+
     return CC_SP
 
   @staticmethod

openpilot/sunnypilot/selfdrive/controls/lib/accel_boost.py

@@ -1,67 +0,0 @@
-"""
-Copyright (c) 2021-, 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 numpy as np
-
-from openpilot.cereal import log
-from openpilot.common.params import Params
-from openpilot.common.realtime import DT_MDL
-from openpilot.sunnypilot import PARAMS_UPDATE_PERIOD
-
-ACCEL_BOOST_MIN_SPEED = 1.0
-ACCEL_BOOST_MAX = (0.4, 0.25, 0.1)  # aggressive, standard, relaxed, m/s^2
-ACCEL_BOOST_BUILD, ACCEL_BOOST_RELEASE = 0.2, 1.0  # m/s^3
-BRAKE_PROB = (0.1, 0.3)  # the model's brake press in 4 s: it wants to slow
-GAS_PROB = (0.6, 0.8)  # predicts a human gas press at this hypothesis at about 23%
-CURVE_LAT_ACCEL = (1.5, 2.5)
-
-
-def get_boost_max(personality=log.LongitudinalPersonality.standard):
-  if personality == log.LongitudinalPersonality.relaxed:
-    return ACCEL_BOOST_MAX[2]
-  elif personality == log.LongitudinalPersonality.standard:
-    return ACCEL_BOOST_MAX[1]
-  elif personality == log.LongitudinalPersonality.aggressive:
-    return ACCEL_BOOST_MAX[0]
-  else:
-    raise NotImplementedError("Longitudinal personality not supported")
-
-
-class AccelBoostSP:
-  def __init__(self):
-    self.params = Params()
-    self.frame = -1
-    self.enabled = False
-    self.boost = 0.0
-    self.total_boost = 0.0
-
-  def update_params(self):
-    self.frame += 1
-    if self.frame % int(PARAMS_UPDATE_PERIOD / DT_MDL) != 0:
-      return False
-    enabled = self.params.get_bool("AccelBoostSP")
-    if enabled == self.enabled:
-      return False
-    self.enabled = enabled
-    self.boost = self.total_boost = 0.0
-    return True
-
-  def update(self, sm, output_a_target_e2e, output_a_target_mpc, a_cruise):
-    model = sm['modelV2']
-    brake_probs = model.meta.disengagePredictions.brakePressProbs
-    gas_probs = model.meta.disengagePredictions.gasPressProbs
-    if not sm['selfdriveState'].enabled or len(brake_probs) < 2 or len(gas_probs) < 2:
-      self.boost = self.total_boost = 0.0
-      return output_a_target_e2e
-
-    want = max(float(np.interp(brake_probs[1], BRAKE_PROB, [1.0, 0.0])), float(np.interp(gas_probs[1], GAS_PROB, [0.0, 1.0])))
-    want = 0.0 if model.action.shouldStop else want
-    want *= float(np.interp(abs(model.action.desiredCurvature) * sm['carState'].vEgo ** 2, CURVE_LAT_ACCEL, [1.0, 0.0]))
-    target = want * get_boost_max(sm['selfdriveState'].personality)
-    self.boost = float(np.clip(target, self.boost - ACCEL_BOOST_RELEASE * DT_MDL, self.boost + ACCEL_BOOST_BUILD * DT_MDL))
-    speed_scale = np.interp(sm['carState'].vEgo, [ACCEL_BOOST_MIN_SPEED, 2 * ACCEL_BOOST_MIN_SPEED], [0.0, 1.0])
-    self.total_boost = self.boost * speed_scale * np.interp(output_a_target_e2e, [-0.7, -0.2, 5.0], [0.0, 1.0, 1.0], right=0.0)
-    return output_a_target_e2e + self.total_boost

openpilot/sunnypilot/selfdrive/controls/lib/longitudinal_planner.py

@@ -9,8 +9,6 @@ from openpilot.cereal import messaging, custom
 from opendbc.car import structs
 from openpilot.common.constants import CV
 from openpilot.selfdrive.car.cruise import V_CRUISE_MAX
-from openpilot.selfdrive.controls.lib.accel_boost import AccelBoost
-from openpilot.sunnypilot.selfdrive.controls.lib.accel_boost import AccelBoostSP
 from openpilot.sunnypilot.selfdrive.controls.lib.e2e_alerts_helper import E2EAlertsHelper
 from openpilot.sunnypilot.selfdrive.controls.lib.smart_cruise_control.smart_cruise_control import SmartCruiseControl
 from openpilot.sunnypilot.selfdrive.controls.lib.speed_limit.speed_limit_assist import SpeedLimitAssist
@@ -31,8 +29,6 @@ class LongitudinalPlannerSP:
     self.generation = int(model_bundle.generation) if (model_bundle := get_active_bundle()) else None
     self.source = LongitudinalPlanSource.cruise
     self.e2e_alerts_helper = E2EAlertsHelper()
-    self.accel_boost_sp = AccelBoostSP()
-    self.openpilot_longitudinal = CP.openpilotLongitudinalControl
 
     self.output_v_target = 0.
     self.output_a_target = 0.
@@ -68,9 +64,6 @@ class LongitudinalPlannerSP:
     return self.output_v_target, self.output_a_target
 
   def update(self, sm: messaging.SubMaster) -> None:
-    if self.accel_boost_sp.update_params():
-      self.accel_boost = self.accel_boost_sp if self.accel_boost_sp.enabled and self.openpilot_longitudinal else AccelBoost()
-
     self.events_sp.clear()
     self.e2e_alerts_helper.update(sm, self.events_sp)
 

openpilot/sunnypilot/selfdrive/controls/lib/tests/test_accel_boost.py

@@ -1,81 +0,0 @@
-"""
-Copyright (c) 2021-, 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 types import SimpleNamespace
-
-from openpilot.common.parameterized import parameterized
-from openpilot.common.params import Params
-from openpilot.common.realtime import DT_MDL
-from openpilot.common.test import OpenpilotTestCase
-
-from openpilot.sunnypilot import PARAMS_UPDATE_PERIOD
-from openpilot.sunnypilot.selfdrive.controls.lib.accel_boost import AccelBoostSP, ACCEL_BOOST_MAX
-
-
-def make_sm(brake_prob=0.05, gas_prob=0.3, lat_accel=0.0, v_ego=30.0, personality=0, enabled=True, should_stop=False):
-  meta = SimpleNamespace(disengagePredictions=SimpleNamespace(brakePressProbs=[0.0, brake_prob, 0.0, 0.0, 0.0, 0.0],
-                                                              gasPressProbs=[0.0, gas_prob, 0.0, 0.0, 0.0, 0.0]))
-  action = SimpleNamespace(shouldStop=should_stop, desiredCurvature=lat_accel / v_ego ** 2)
-  return {'modelV2': SimpleNamespace(meta=meta, action=action), 'carState': SimpleNamespace(vEgo=v_ego),
-          'selfdriveState': SimpleNamespace(enabled=enabled, personality=personality)}
-
-
-def settle(sm, frames=100):
-  boost = AccelBoostSP()
-  for _ in range(frames):
-    boost.update(sm, 0.0, 9.0, 9.0)
-  return boost.total_boost
-
-
-class TestAccelBoostSP(OpenpilotTestCase):
-  @parameterized.expand([(0,), (1,), (2,)])
-  def test_personality_max(self, personality):
-    assert abs(settle(make_sm(personality=personality)) - ACCEL_BOOST_MAX[personality]) < 1e-6
-
-  def test_brake_gate_closes(self):
-    assert settle(make_sm(brake_prob=0.5)) == 0.0
-
-  def test_gas_reopens(self):
-    assert abs(settle(make_sm(brake_prob=0.5, gas_prob=0.9)) - ACCEL_BOOST_MAX[0]) < 1e-6
-
-  def test_should_stop(self):
-    assert settle(make_sm(gas_prob=0.9, should_stop=True)) == 0.0
-
-  @parameterized.expand([(1.5, 1.0), (2.0, 0.5), (2.5, 0.0), (-2.0, 0.5)])
-  def test_curve_fade(self, lat_accel, scale):
-    assert abs(settle(make_sm(lat_accel=lat_accel)) - scale * ACCEL_BOOST_MAX[0]) < 1e-6
-
-  def test_low_speed(self):
-    assert settle(make_sm(v_ego=0.5)) == 0.0
-
-  def test_disabled_resets(self):
-    boost = AccelBoostSP()
-    for _ in range(100):
-      boost.update(make_sm(), 0.0, 9.0, 9.0)
-    assert boost.update(make_sm(enabled=False), 0.0, 9.0, 9.0) == 0.0
-    assert boost.boost == 0.0 and boost.total_boost == 0.0
-
-  def test_build_and_release_rates(self):
-    boost = AccelBoostSP()
-    boost.update(make_sm(), 0.0, 9.0, 9.0)
-    assert abs(boost.total_boost - 0.01) < 1e-6
-    for _ in range(100):
-      boost.update(make_sm(), 0.0, 9.0, 9.0)
-    boost.update(make_sm(brake_prob=0.5), 0.0, 9.0, 9.0)
-    assert abs(boost.total_boost - (ACCEL_BOOST_MAX[0] - 0.05)) < 1e-6
-
-  def test_param_switch(self):
-    params = Params()
-    boost = AccelBoostSP()
-    params.put_bool("AccelBoostSP", True, block=True)
-    assert boost.update_params() and boost.enabled
-    for _ in range(100):
-      boost.update(make_sm(), 0.0, 9.0, 9.0)
-    params.put_bool("AccelBoostSP", False, block=True)
-    for _ in range(int(PARAMS_UPDATE_PERIOD / DT_MDL) - 1):
-      assert not boost.update_params()
-    assert boost.update_params() and not boost.enabled
-    assert boost.boost == 0.0 and boost.total_boost == 0.0

openpilot/sunnypilot/sunnylink/settings_ui.json

@@ -620,19 +620,6 @@
                 }
               ]
             },
-            {
-              "key": "AccelBoostSP",
-              "widget": "toggle",
-              "title": "Acceleration Boost",
-              "description": "Adds a small push on top of sunnypilot's own acceleration, stronger in Aggressive and gentler in Relaxed. Eases off in curves and when sunnypilot slows or stops. Never goes past your set speed, and lead-car following still comes first.",
-              "enablement": [
-                {
-                  "type": "capability",
-                  "field": "has_longitudinal_control",
-                  "equals": true
-                }
-              ]
-            },
             {
               "key": "IntelligentCruiseButtonManagement",
               "widget": "toggle",
@@ -1362,17 +1349,7 @@
               "key": "TorqueBar",
               "widget": "toggle",
               "title": "Steering Arc",
-              "description": "Display steering arc on the driving screen when lateral control is enabled.",
-              "visibility": [
-                {
-                  "type": "not",
-                  "condition": {
-                    "type": "capability",
-                    "field": "device_type",
-                    "equals": "mici"
-                  }
-                }
-              ]
+              "description": "Display steering arc on the driving screen when lateral control is enabled."
             },
             {
               "key": "ShowTurnSignals",

openpilot/sunnypilot/sunnylink/settings_ui_src/pages/cruise.yaml

@@ -30,12 +30,6 @@ sections:
       label: Relaxed
     enablement:
     - $ref: '#/macros/longitudinal'
-  - key: AccelBoostSP
-    widget: toggle
-    title: Acceleration Boost
-    description: "Adds a small push on top of sunnypilot's own acceleration, stronger in Aggressive and gentler in Relaxed. Eases off in curves and when sunnypilot slows or stops. Never goes past your set speed, and lead-car following still comes first."
-    enablement:
-    - $ref: '#/macros/longitudinal'
   - key: IntelligentCruiseButtonManagement
     widget: toggle
     title: Intelligent Cruise Button Management (ICBM) (Alpha)

openpilot/sunnypilot/sunnylink/settings_ui_src/pages/visuals.yaml

@@ -20,8 +20,6 @@ sections:
     widget: toggle
     title: Steering Arc
     description: Display steering arc on the driving screen when lateral control is enabled.
-    visibility:
-    - $ref: '#/macros/hide_on_mici'
   - key: ShowTurnSignals
     widget: toggle
     title: Display Turn Signals

release/ci/model_generator.py

@@ -13,41 +13,26 @@ from pathlib import Path
 from datetime import datetime, UTC
 
 
-_VERSION_REGEX = re.compile(r'^(?:\d+[a-zA-Z]+|\d+[vVbB]\d+|[vVbB]\d+|\d{4})$')
-_DECIMAL_VERSION_REGEX = re.compile(r'^([vVbB]?)(\d+(?:\.\d+)+)$')
-
-
-def _version(word: str) -> str | None:
-  match = _DECIMAL_VERSION_REGEX.match(word.strip('()[]{}.,;:'))
-  if match:
-    return match.group(1).upper() + match.group(2)
-  stripped = re.sub(r'[^a-zA-Z0-9]', '', word)
-  return stripped.upper() if _VERSION_REGEX.match(stripped) else None
-
-
-def _truncate(short_name: str) -> str:
-  return short_name[:8].rstrip('.')
-
-
 def create_short_name(full_name: str) -> str:
-  # Remove parentheses and extract alphanumeric words, keeping decimals for versioning
+  # Remove parentheses and extract alphanumeric words
   clean_name = re.sub(r'\([^)]*\)', '', full_name)
-  words = [re.sub(r'[^a-zA-Z0-9.]', '', word) for word in clean_name.split()]
-  words = [word for word in words if word]
+  words = [re.sub(r'[^a-zA-Z0-9]', '', word) for word in clean_name.split() if re.sub(r'[^a-zA-Z0-9]', '', word)]
 
   if len(words) == 1:
-    return _truncate((_version(words[0]) or words[0]).upper())
+    return words[0][:8].upper()
 
-  # Handle special case: Name + Version (e.g., "Word A1" -> "WordA1", "Model v1.1" -> "ModelV1.1")
-  if len(words) == 2 and re.match(r'^[A-Za-z]?\d+$', words[1]):
-    return _truncate((words[0] + (_version(words[1]) or words[1])).upper())
+  # Handle special case: Name + Version (e.g., "Word A1" -> "WordA1")
+  if len(words) == 2 and re.match(r'^[A-Za-z]\d+$', words[1]):
+    return (words[0] + words[1])[:8].upper()
 
   result = ""
   for word in words:
     # Version or number patterns
-    version = _version(word)
-    if version:
-      result += version
+    if (re.match(r'^\d+[a-zA-Z]+$', word) or
+        re.match(r'^\d+[vVbB]\d+$', word) or
+        re.match(r'^[vVbB]\d+$', word) or
+        re.match(r'^\d{4}$', word)):
+      result += word.upper()
     # All uppercase abbreviations (2-3 letters)
     elif re.match(r'^[A-Z]{2,3}$', word):
       result += word
@@ -60,7 +45,7 @@ def create_short_name(full_name: str) -> str:
       result += word
     else:
       result += word[0].upper()
-  return _truncate(result)
+  return result[:8]
 
 
 def create_pkl_name(full_name: str) -> str: