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13 Commits

Author SHA1 Message Date
DevTekVE 40d9e092b6 Refactor type annotations and return types in model_runner
Removed specific type hints and return annotations for `self.inputs` and `run_model` methods to enhance flexibility and maintain consistency. These changes streamline the code and improve compatibility with varying input/output types during model inference.
2024-12-29 18:04:05 +01:00
DevTekVE 6318aa52e3 Refactor type hints for improved code consistency.
Replaced specific type hints like `dict[str, np.ndarray]` with generic `dict` in several method signatures to simplify annotations. This improves overall readability and maintains functionality, while aligning with existing code practices.
2024-12-29 17:59:50 +01:00
DevTekVE 7852fa66b1 Clean 2024-12-29 17:51:30 +01:00
DevTekVE 8d9c1e2035 Add type annotations to inputs and prepare_inputs method
This commit adds explicit type annotations for the `inputs` dictionary and the return value of the `prepare_inputs` method in `model_runner.py`. These changes improve code readability and ensure type consistency, enhancing maintainability and reducing potential errors.
2024-12-29 17:50:58 +01:00
DevTekVE c39f722f7b Rename TinyGradRunner to TinygradRunner for consistency.
The class name and references were updated to maintain naming consistency across the codebase. This aligns with naming conventions and improves code clarity. No functional changes were introduced.
2024-12-29 17:48:00 +01:00
DevTekVE 550c08ac4c Refactor prepare_inputs to use explicit CLMem type.
This update replaces the generic `any` type with the more explicit `CLMem` type for better type safety and clarity. It ensures consistency across the `prepare_inputs` method implementations in derived classes, improving code readability and robustness.
2024-12-29 17:44:23 +01:00
DevTekVE 8c838af5fa Refactor model inference to use internal state for inputs
Simplified the `run_model` method by removing the requirement to pass inputs as arguments, and instead leveraging an internal `inputs` state. Adjusted `prepare_inputs` methods across model runners to populate this internal state. This refactor improves code clarity and reduces redundancy in managing input data.
2024-12-29 17:40:45 +01:00
DevTekVE 2521d60b1b Fix model_runner output to ensure tensor conversion to NumPy.
Updated the `run_model` method to explicitly convert tensor outputs to NumPy arrays using `.numpy()`. This ensures compatibility with downstream processes relying on NumPy array inputs.
2024-12-29 17:31:27 +01:00
DevTekVE 206398d3b5 Remove unused imports and redundant pass statements.
This change cleans up the code by removing unused imports and redundant `pass` statements in abstract methods. It improves code readability and adheres to cleaner coding practices.
2024-12-29 17:22:13 +01:00
DevTekVE a9e99615cd Remove redundant tensor assignment in model runner.
The `assign` operation was unnecessary as new tensors are realized for updated inputs. This simplifies the code and avoids redundant updates, improving clarity and maintainability.
2024-12-29 17:20:15 +01:00
DevTekVE ec44b78ad8 Refactor model runner initialization logic.
Removed the `create_model_runner` factory function and replaced it with direct initialization of `TinyGradRunner` or `ONNXRunner`. Simplified the `__init__` methods by standardizing paths as constants within `model_runner.py` for cleaner and more maintainable code.
2024-12-29 17:14:08 +01:00
DevTekVE dcd3e09294 Refactor formatting in model_runner.py for readability.
Consolidated multiline function declarations and calls into single lines where appropriate to improve code readability and maintainability. No changes were made to the functionality.
2024-12-29 17:01:26 +01:00
DevTekVE 839a7a58e0 Refactoring model handling in modeld.py with ModelRunner abstraction
A significant refactoring of `modeld.py` was performed to enhance the handling of model logic. A new abstraction called `ModelRunner` has been introduced which encapsulates the model-running logic. This refactor simplifies the `modeld.py` script and provides easier management across different hardware configurations. Using this segregation, varying processing methods for models can be handled distinctly ensuring cleaner and more maintainable code. An instance of the appropriate model runner is now created during initialization based on whether a TICI hardware or a different type is used.
2024-12-29 16:59:10 +01:00
231 changed files with 308 additions and 8112 deletions
-2
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@@ -1,2 +0,0 @@
Wen
REGIST
+1 -1
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@@ -86,7 +86,7 @@ jobs:
run: >-
sudo apt-get install -y imagemagick
scenes="homescreen settings_device settings_software settings_sunnylink settings_toggles settings_sunnypilot settings_sunnypilot_mads settings_developer offroad_alert update_available prime onroad onroad_disengaged onroad_override onroad_sidebar onroad_wide onroad_wide_sidebar onroad_alert_small onroad_alert_mid onroad_alert_full driver_camera body keyboard"
scenes="homescreen settings_device settings_software settings_toggles settings_developer offroad_alert update_available prime onroad onroad_disengaged onroad_override onroad_sidebar onroad_wide onroad_wide_sidebar onroad_alert_small onroad_alert_mid onroad_alert_full driver_camera body keyboard"
A=($scenes)
DIFF=""
-10
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@@ -74,12 +74,6 @@ AddOption('--minimal',
default=os.path.exists(File('#.lfsconfig').abspath), # minimal by default on release branch (where there's no LFS)
help='the minimum build to run openpilot. no tests, tools, etc.')
AddOption('--stock-ui',
action='store_true',
dest='stock_ui',
default=False,
help='Build stock openpilot UI instead of sunnypilot UI')
## Architecture name breakdown (arch)
## - larch64: linux tici aarch64
## - aarch64: linux pc aarch64
@@ -178,10 +172,6 @@ else:
if arch != "Darwin":
ldflags += ["-Wl,--as-needed", "-Wl,--no-undefined"]
if not GetOption('stock_ui'):
cflags += ["-DSUNNYPILOT"]
cxxflags += ["-DSUNNYPILOT"]
ccflags_option = GetOption('ccflags')
if ccflags_option:
ccflags += ccflags_option.split(' ')
+2 -64
View File
@@ -8,72 +8,10 @@ $Cxx.namespace("cereal");
# cereal, so use these if you want custom events in your fork.
# you can rename the struct, but don't change the identifier
struct SelfdriveStateSP @0x81c2f05a394cf4af {
mads @0 :ModularAssistiveDrivingSystem;
struct ModularAssistiveDrivingSystem {
state @0 :ModularAssistiveDrivingSystemState;
enabled @1 :Bool;
active @2 :Bool;
available @3 :Bool;
enum ModularAssistiveDrivingSystemState {
disabled @0;
paused @1;
enabled @2;
softDisabling @3;
overriding @4;
}
}
struct CustomReserved0 @0x81c2f05a394cf4af {
}
struct ModelManagerSP @0xaedffd8f31e7b55d {
activeBundle @0 :ModelBundle;
selectedBundle @1 :ModelBundle;
availableBundles @2 :List(ModelBundle);
struct DownloadUri {
uri @0 :Text;
sha256 @1 :Text;
}
enum Type {
drive @0;
navigation @1;
metadata @2;
}
struct Model {
fullName @0 :Text;
fileName @1 :Text;
downloadUri @2 :DownloadUri;
downloadProgress @3 :DownloadProgress;
type @4 :Type;
}
enum DownloadStatus {
notDownloading @0;
downloading @1;
downloaded @2;
cached @3;
failed @4;
}
struct DownloadProgress {
status @0 :DownloadStatus;
progress @1 :Float32;
eta @2 :UInt32;
}
struct ModelBundle {
index @0 :UInt32;
internalName @1 :Text;
displayName @2 :Text;
models @3 :List(Model);
status @4 :DownloadStatus;
generation @5 :UInt32;
environment @6 :Text;
}
struct CustomReserved1 @0xaedffd8f31e7b55d {
}
struct CustomReserved2 @0xf35cc4560bbf6ec2 {
+3 -76
View File
@@ -125,79 +125,6 @@ struct OnroadEvent @0xc4fa6047f024e718 {
espActive @90;
personalityChanged @91;
aeb @92;
eventReserved93 @93;
eventReserved94 @94;
eventReserved95 @95;
eventReserved96 @96;
eventReserved97 @97;
eventReserved98 @98;
eventReserved99 @99;
eventReserved100 @100;
eventReserved101 @101;
eventReserved102 @102;
eventReserved103 @103;
eventReserved104 @104;
eventReserved105 @105;
eventReserved106 @106;
eventReserved107 @107;
eventReserved108 @108;
eventReserved109 @109;
eventReserved110 @110;
eventReserved111 @111;
eventReserved112 @112;
eventReserved113 @113;
eventReserved114 @114;
eventReserved115 @115;
eventReserved116 @116;
eventReserved117 @117;
eventReserved118 @118;
eventReserved119 @119;
eventReserved120 @120;
eventReserved121 @121;
eventReserved122 @122;
eventReserved123 @123;
eventReserved124 @124;
eventReserved125 @125;
eventReserved126 @126;
eventReserved127 @127;
eventReserved128 @128;
eventReserved129 @129;
eventReserved130 @130;
eventReserved131 @131;
eventReserved132 @132;
eventReserved133 @133;
eventReserved134 @134;
eventReserved135 @135;
eventReserved136 @136;
eventReserved137 @137;
eventReserved138 @138;
eventReserved139 @139;
eventReserved140 @140;
eventReserved141 @141;
eventReserved142 @142;
eventReserved143 @143;
eventReserved144 @144;
eventReserved145 @145;
eventReserved146 @146;
eventReserved147 @147;
eventReserved148 @148;
eventReserved149 @149;
eventReserved150 @150;
# sunnypilot
lkasEnable @151;
lkasDisable @152;
manualSteeringRequired @153;
manualLongitudinalRequired @154;
silentLkasEnable @155;
silentLkasDisable @156;
silentBrakeHold @157;
silentWrongGear @158;
silentReverseGear @159;
silentDoorOpen @160;
silentSeatbeltNotLatched @161;
silentParkBrake @162;
controlsMismatchLateral @163;
soundsUnavailableDEPRECATED @47;
}
@@ -662,7 +589,6 @@ struct PandaState @0xa7649e2575e4591e {
# safety stuff
controlsAllowed @3 :Bool;
controlsAllowedLat @5 :Bool;
safetyRxInvalid @19 :UInt32;
safetyTxBlocked @24 :UInt32;
safetyModel @14 :Car.CarParams.SafetyModel;
@@ -770,6 +696,7 @@ struct PandaState @0xa7649e2575e4591e {
}
gasInterceptorDetectedDEPRECATED @4 :Bool;
startedSignalDetectedDEPRECATED @5 :Bool;
hasGpsDEPRECATED @6 :Bool;
gmlanSendErrsDEPRECATED @9 :UInt32;
fanSpeedRpmDEPRECATED @11 :UInt16;
@@ -2631,8 +2558,8 @@ struct Event {
customReservedRawData2 @126 :Data;
# *********** Custom: reserved for forks ***********
selfdriveStateSP @107 :Custom.SelfdriveStateSP;
modelManagerSP @108 :Custom.ModelManagerSP;
customReserved0 @107 :Custom.CustomReserved0;
customReserved1 @108 :Custom.CustomReserved1;
customReserved2 @109 :Custom.CustomReserved2;
customReserved3 @110 :Custom.CustomReserved3;
customReserved4 @111 :Custom.CustomReserved4;
-4
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@@ -74,10 +74,6 @@ _services: dict[str, tuple] = {
"userFlag": (True, 0., 1),
"microphone": (True, 10., 10),
# sunnypilot
"modelManagerSP": (False, 1., 1),
"selfdriveStateSP": (True, 100., 10),
# debug
"uiDebug": (True, 0., 1),
"testJoystick": (True, 0.),
+35 -16
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@@ -1,27 +1,46 @@
from openpilot.common.api.comma_connect import CommaConnectApi
from sunnypilot.sunnylink.api import SunnylinkApi
import jwt
import os
import requests
from datetime import datetime, timedelta, UTC
from openpilot.system.hardware.hw import Paths
from openpilot.system.version import get_version
API_HOST = os.getenv('API_HOST', 'https://api.commadotai.com')
class Api:
def __init__(self, dongle_id, use_sunnylink=False):
if use_sunnylink:
self.service = SunnylinkApi(dongle_id)
else:
self.service = CommaConnectApi(dongle_id)
def request(self, method, endpoint, **params):
return self.service.request(method, endpoint, **params)
def __init__(self, dongle_id):
self.dongle_id = dongle_id
with open(Paths.persist_root()+'/comma/id_rsa') as f:
self.private_key = f.read()
def get(self, *args, **kwargs):
return self.service.get(*args, **kwargs)
return self.request('GET', *args, **kwargs)
def post(self, *args, **kwargs):
return self.service.post(*args, **kwargs)
return self.request('POST', *args, **kwargs)
def request(self, method, endpoint, timeout=None, access_token=None, **params):
return api_get(endpoint, method=method, timeout=timeout, access_token=access_token, **params)
def get_token(self, expiry_hours=1):
return self.service.get_token(expiry_hours)
now = datetime.now(UTC).replace(tzinfo=None)
payload = {
'identity': self.dongle_id,
'nbf': now,
'iat': now,
'exp': now + timedelta(hours=expiry_hours)
}
token = jwt.encode(payload, self.private_key, algorithm='RS256')
if isinstance(token, bytes):
token = token.decode('utf8')
return token
def api_get(endpoint, method='GET', timeout=None, access_token=None, use_sunnylink=False, **params):
return SunnylinkApi(None).api_get(endpoint, method, timeout, access_token, **params) if use_sunnylink \
else CommaConnectApi(None).api_get(endpoint, method, timeout, access_token, **params)
def api_get(endpoint, method='GET', timeout=None, access_token=None, **params):
headers = {}
if access_token is not None:
headers['Authorization'] = "JWT " + access_token
headers['User-Agent'] = "openpilot-" + get_version()
return requests.request(method, API_HOST + "/" + endpoint, timeout=timeout, headers=headers, params=params)
-56
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@@ -1,56 +0,0 @@
import jwt
import requests
import unicodedata
from datetime import datetime, timedelta, UTC
from openpilot.system.hardware.hw import Paths
from openpilot.system.version import get_version
class BaseApi:
def __init__(self, dongle_id, api_host, user_agent="openpilot-"):
self.dongle_id = dongle_id
self.api_host = api_host
self.user_agent = user_agent
with open(f'{Paths.persist_root()}/comma/id_rsa') as f:
self.private_key = f.read()
def get(self, *args, **kwargs):
return self.request('GET', *args, **kwargs)
def post(self, *args, **kwargs):
return self.request('POST', *args, **kwargs)
def request(self, method, endpoint, timeout=None, access_token=None, **params):
return self.api_get(endpoint, method=method, timeout=timeout, access_token=access_token, **params)
def _get_token(self, expiry_hours=1, **extra_payload):
now = datetime.now(UTC).replace(tzinfo=None)
payload = {
'identity': self.dongle_id,
'nbf': now,
'iat': now,
'exp': now + timedelta(hours=expiry_hours),
**extra_payload
}
token = jwt.encode(payload, self.private_key, algorithm='RS256')
if isinstance(token, bytes):
token = token.decode('utf8')
return token
def get_token(self, expiry_hours=1):
return self._get_token(expiry_hours)
def remove_non_ascii_chars(self, text):
normalized_text = unicodedata.normalize('NFD', text)
ascii_encoded_text = normalized_text.encode('ascii', 'ignore')
return ascii_encoded_text.decode()
def api_get(self, endpoint, method='GET', timeout=None, access_token=None, **params):
headers = {}
if access_token is not None:
headers['Authorization'] = "JWT " + access_token
version = self.remove_non_ascii_chars(get_version())
headers['User-Agent'] = self.user_agent + version
return requests.request(method, f"{self.api_host}/{endpoint}", timeout=timeout, headers=headers, params=params)
-11
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@@ -1,11 +0,0 @@
import os
from openpilot.common.api.base import BaseApi
API_HOST = os.getenv('API_HOST', 'https://api.commadotai.com')
class CommaConnectApi(BaseApi):
def __init__(self, dongle_id):
super().__init__(dongle_id, API_HOST)
self.user_agent = "openpilot-"
+20 -41
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@@ -109,36 +109,36 @@ std::unordered_map<std::string, uint32_t> keys = {
{"CurrentBootlog", PERSISTENT},
{"CurrentRoute", CLEAR_ON_MANAGER_START | CLEAR_ON_ONROAD_TRANSITION},
{"DisableLogging", CLEAR_ON_MANAGER_START | CLEAR_ON_ONROAD_TRANSITION},
{"DisablePowerDown", PERSISTENT | BACKUP},
{"DisableUpdates", PERSISTENT | BACKUP},
{"DisengageOnAccelerator", PERSISTENT | BACKUP},
{"DisablePowerDown", PERSISTENT},
{"DisableUpdates", PERSISTENT},
{"DisengageOnAccelerator", PERSISTENT},
{"DongleId", PERSISTENT},
{"DoReboot", CLEAR_ON_MANAGER_START},
{"DoShutdown", CLEAR_ON_MANAGER_START},
{"DoUninstall", CLEAR_ON_MANAGER_START},
{"ExperimentalLongitudinalEnabled", PERSISTENT | DEVELOPMENT_ONLY | BACKUP},
{"ExperimentalMode", PERSISTENT | BACKUP},
{"ExperimentalModeConfirmed", PERSISTENT | BACKUP},
{"ExperimentalLongitudinalEnabled", PERSISTENT | DEVELOPMENT_ONLY},
{"ExperimentalMode", PERSISTENT},
{"ExperimentalModeConfirmed", PERSISTENT},
{"FirmwareQueryDone", CLEAR_ON_MANAGER_START | CLEAR_ON_ONROAD_TRANSITION},
{"ForcePowerDown", PERSISTENT},
{"GitBranch", PERSISTENT},
{"GitCommit", PERSISTENT},
{"GitCommitDate", PERSISTENT},
{"GitDiff", PERSISTENT},
{"GithubSshKeys", PERSISTENT | BACKUP},
{"GithubUsername", PERSISTENT | BACKUP},
{"GithubSshKeys", PERSISTENT},
{"GithubUsername", PERSISTENT},
{"GitRemote", PERSISTENT},
{"GsmApn", PERSISTENT | BACKUP},
{"GsmMetered", PERSISTENT | BACKUP},
{"GsmRoaming", PERSISTENT | BACKUP},
{"GsmApn", PERSISTENT},
{"GsmMetered", PERSISTENT},
{"GsmRoaming", PERSISTENT},
{"HardwareSerial", PERSISTENT},
{"HasAcceptedTerms", PERSISTENT},
{"IMEI", PERSISTENT},
{"InstallDate", PERSISTENT},
{"IsDriverViewEnabled", CLEAR_ON_MANAGER_START},
{"IsEngaged", PERSISTENT},
{"IsLdwEnabled", PERSISTENT | BACKUP},
{"IsMetric", PERSISTENT | BACKUP},
{"IsLdwEnabled", PERSISTENT},
{"IsMetric", PERSISTENT},
{"IsOffroad", CLEAR_ON_MANAGER_START},
{"IsOnroad", PERSISTENT},
{"IsRhdDetected", PERSISTENT},
@@ -146,7 +146,7 @@ std::unordered_map<std::string, uint32_t> keys = {
{"IsTakingSnapshot", CLEAR_ON_MANAGER_START},
{"IsTestedBranch", CLEAR_ON_MANAGER_START},
{"JoystickDebugMode", CLEAR_ON_MANAGER_START | CLEAR_ON_OFFROAD_TRANSITION},
{"LanguageSetting", PERSISTENT | BACKUP},
{"LanguageSetting", PERSISTENT},
{"LastAthenaPingTime", CLEAR_ON_MANAGER_START},
{"LastGPSPosition", PERSISTENT},
{"LastManagerExitReason", CLEAR_ON_MANAGER_START},
@@ -158,7 +158,7 @@ std::unordered_map<std::string, uint32_t> keys = {
{"LiveTorqueParameters", PERSISTENT | DONT_LOG},
{"LocationFilterInitialState", PERSISTENT},
{"LongitudinalManeuverMode", CLEAR_ON_MANAGER_START | CLEAR_ON_OFFROAD_TRANSITION},
{"LongitudinalPersonality", PERSISTENT | BACKUP},
{"LongitudinalPersonality", PERSISTENT},
{"NetworkMetered", PERSISTENT},
{"ObdMultiplexingChanged", CLEAR_ON_MANAGER_START | CLEAR_ON_ONROAD_TRANSITION},
{"ObdMultiplexingEnabled", CLEAR_ON_MANAGER_START | CLEAR_ON_ONROAD_TRANSITION},
@@ -174,17 +174,17 @@ std::unordered_map<std::string, uint32_t> keys = {
{"Offroad_TemperatureTooHigh", CLEAR_ON_MANAGER_START},
{"Offroad_UnofficialHardware", CLEAR_ON_MANAGER_START},
{"Offroad_UpdateFailed", CLEAR_ON_MANAGER_START},
{"OpenpilotEnabledToggle", PERSISTENT | BACKUP},
{"OpenpilotEnabledToggle", PERSISTENT},
{"PandaHeartbeatLost", CLEAR_ON_MANAGER_START | CLEAR_ON_OFFROAD_TRANSITION},
{"PandaSomResetTriggered", CLEAR_ON_MANAGER_START | CLEAR_ON_OFFROAD_TRANSITION},
{"PandaSignatures", CLEAR_ON_MANAGER_START},
{"PrimeType", PERSISTENT},
{"RecordFront", PERSISTENT | BACKUP},
{"RecordFront", PERSISTENT},
{"RecordFrontLock", PERSISTENT}, // for the internal fleet
{"SecOCKey", PERSISTENT | DONT_LOG}, // Candidate for | BACKUP
{"SecOCKey", PERSISTENT | DONT_LOG},
{"RouteCount", PERSISTENT},
{"SnoozeUpdate", CLEAR_ON_MANAGER_START | CLEAR_ON_OFFROAD_TRANSITION},
{"SshEnabled", PERSISTENT | BACKUP},
{"SshEnabled", PERSISTENT},
{"TermsVersion", PERSISTENT},
{"TrainingVersion", PERSISTENT},
{"UbloxAvailable", PERSISTENT},
@@ -200,28 +200,7 @@ std::unordered_map<std::string, uint32_t> keys = {
{"UpdaterTargetBranch", CLEAR_ON_MANAGER_START},
{"UpdaterLastFetchTime", PERSISTENT},
{"Version", PERSISTENT},
// --- sunnypilot params --- //
{"EnableGithubRunner", PERSISTENT | BACKUP},
// MADS params
{"Mads", PERSISTENT | BACKUP},
{"MadsMainCruiseAllowed", PERSISTENT | BACKUP},
{"MadsPauseLateralOnBrake", PERSISTENT | BACKUP},
{"MadsUnifiedEngagementMode", PERSISTENT | BACKUP},
// Model Manager params
{"ModelManager_ActiveBundle", PERSISTENT},
{"ModelManager_DownloadIndex", CLEAR_ON_MANAGER_START | CLEAR_ON_ONROAD_TRANSITION},
{"ModelManager_LastSyncTime", CLEAR_ON_MANAGER_START | CLEAR_ON_OFFROAD_TRANSITION},
{"ModelManager_ModelsCache", PERSISTENT | BACKUP},
// sunnylink params
{"EnableSunnylinkUploader", PERSISTENT | BACKUP},
{"LastSunnylinkPingTime", CLEAR_ON_MANAGER_START},
{"SunnylinkDongleId", PERSISTENT},
{"SunnylinkdPid", PERSISTENT},
{"SunnylinkEnabled", PERSISTENT},
{"EnableGithubRunner", PERSISTENT},
};
} // namespace
-1
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@@ -16,7 +16,6 @@ enum ParamKeyType {
CLEAR_ON_OFFROAD_TRANSITION = 0x10,
DONT_LOG = 0x20,
DEVELOPMENT_ONLY = 0x40,
BACKUP = 0x80,
ALL = 0xFFFFFFFF
};
-1
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@@ -163,7 +163,6 @@ testpaths = [
"tools/replay",
"tools/cabana",
"cereal/messaging/tests",
"sunnypilot",
]
[tool.codespell]
-361
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@@ -1,361 +0,0 @@
#!/usr/bin/env python3
import argparse
import subprocess
import sys
import shutil
import signal
import contextlib
import tempfile
import os
def run_command(command: str) -> tuple[int, str, str]:
"""Run a shell command and return exit code, stdout, and stderr."""
process = subprocess.Popen(
command,
shell=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True
)
stdout, stderr = process.communicate()
return process.returncode, stdout.strip(), stderr.strip()
def is_gh_available() -> bool:
"""Check if GitHub CLI is available."""
return shutil.which('gh') is not None
def get_current_branch() -> str | None:
"""Get the name of the current git branch."""
code, output, error = run_command("git rev-parse --abbrev-ref HEAD")
if code != 0:
print(f"Error getting current branch: {error}")
return None
return output
def backup_branch(branch_name: str) -> bool:
"""Create a backup of the current branch."""
backup_name = f"{branch_name}-backup-$(date +%Y%m%d_%H%M%S)"
code, _, error = run_command(f"git branch {backup_name}")
if code != 0:
print(f"Error creating backup branch: {error}")
return False
print(f"Created backup branch: {backup_name}")
return True
def get_commit_messages(source_branch: str, target_branch: str) -> list[str] | None:
"""Get all commit messages between source and target branches."""
code, output, error = run_command(f"git log {target_branch}..{source_branch} --format=%B")
if code != 0:
print(f"Error getting commit messages: {error}")
return None
return [msg.strip() for msg in output.splitlines() if msg and not msg.startswith('Merge')]
def get_pr_info(branch_name: str) -> str | None:
"""Get PR title using GitHub CLI."""
if not is_gh_available():
print("Warning: GitHub CLI not found. Install it to auto-fetch PR titles:")
print(" https://cli.github.com/")
return None
# Try to get PR info using gh cli
code, output, error = run_command(f"gh pr view --json title --jq .title {branch_name}")
if code != 0:
print(f"No open PR found for branch '{branch_name}'")
return None
return output
def create_squash_message(pr_title: str | None, commit_messages: list[str], source_branch: str) -> str:
"""Create a squash commit message from PR title and commit messages."""
parts = []
# Add PR title if provided
if pr_title:
parts.append(pr_title)
else:
parts.append(f"Squashed changes from {source_branch}")
parts.append("") # Empty line after title
# Add original commits section
if commit_messages:
parts.append("Original commits:")
parts.append("") # Empty line before list
parts.extend(f"* {msg}" for msg in commit_messages)
return '\n'.join(parts)
def prompt_for_title() -> str:
"""Prompt user for a commit title."""
return input("Enter commit title (or press Enter to use default): ").strip()
@contextlib.contextmanager
def workspace_manager(original_branch: str):
"""Context manager to handle workspace state and cleanup."""
stash_created = False
stash_restored = False
temp_branch: str | None = None
def cleanup_handler(signum=None, frame=None):
"""Clean up workspace state."""
nonlocal temp_branch, stash_created, stash_restored
try:
if signum and stash_restored:
# If we're handling Ctrl+C but stash was already restored,
# just clean up branches and exit
current = get_current_branch()
if current and current != original_branch:
run_command(f"git checkout {original_branch}")
if temp_branch:
run_command(f"git branch -D {temp_branch}")
print("\nOperation interrupted, but changes were already restored.")
sys.exit(1)
# First, switch back to original branch
current = get_current_branch()
if current and current != original_branch:
run_command(f"git checkout {original_branch}")
# Then clean up temp branch
if temp_branch:
run_command(f"git branch -D {temp_branch}")
# Finally, restore stash if needed - AFTER switching branches
if stash_created and not stash_restored:
print("Restoring your uncommitted changes...")
code, stash_list, _ = run_command("git stash list")
if code == 0 and "Automatic stash by squash script" in stash_list:
run_command("git stash pop")
stash_restored = True
stash_created = False
if signum:
print("\nOperation interrupted. Cleaned up and restored original state.")
sys.exit(1)
except Exception as e:
print(f"Error during cleanup: {e}")
if signum:
sys.exit(1)
try:
# Set up signal handlers
signal.signal(signal.SIGINT, cleanup_handler)
signal.signal(signal.SIGTERM, cleanup_handler)
# Check for changes (including untracked files)
code, output, _ = run_command("git status --porcelain")
if output:
print("Stashing uncommitted changes...")
run_command("git stash push -u -m 'Automatic stash by squash script'")
stash_created = True
yield lambda x: setattr(x, 'temp_branch', temp_branch)
except Exception as e:
print(f"\nError occurred: {str(e)}")
cleanup_handler()
raise
finally:
cleanup_handler()
def create_commit_with_message(message: str) -> bool:
"""Create a commit with the given message using a temporary file."""
try:
with tempfile.NamedTemporaryFile(mode='w', delete=False) as f:
f.write(message)
temp_path = f.name
# Use the temporary file for the commit message
code, _, error = run_command(f"git commit -F {temp_path}")
os.unlink(temp_path) # Clean up the temp file
if code != 0:
print(f"Error creating commit: {error}")
return False
return True
except Exception as e:
print(f"Error handling commit message: {e}")
if os.path.exists(temp_path):
os.unlink(temp_path)
return False
def squash_and_merge(source_branch: str, target_branch: str, manual_title: str | None, backup: bool = False, push: bool = False) -> bool:
"""
Squash the source branch and merge into target branch.
"""
# Get original branch right away
original_branch = get_current_branch()
if not original_branch:
return False
class State:
temp_branch: str | None = None
state = State()
with workspace_manager(original_branch) as set_temp_branch:
# Validate source branch exists
code, _, error = run_command(f"git rev-parse --verify {source_branch}")
if code != 0:
print(f"Error: Source branch {source_branch} not found")
return False
if source_branch == target_branch:
print(f"Error: Source and target branches cannot be the same ({source_branch})")
return False
# Ensure target branch exists
code, _, error = run_command(f"git rev-parse --verify {target_branch}")
if code != 0:
print(f"Error: Target branch {target_branch} not found")
return False
# Find merge base
code, merge_base, error = run_command(f"git merge-base {target_branch} {source_branch}")
if code != 0:
print(f"Error finding merge base: {error}")
return False
# Create backup unless explicitly skipped
if backup and not backup_branch(source_branch):
return False
# Get commit messages
commit_messages = get_commit_messages(source_branch, target_branch)
if commit_messages is None:
return False
# Get title (priority: manual title > PR title > prompt user)
title = manual_title
if not title:
title = get_pr_info(source_branch)
if not title:
title = prompt_for_title()
try:
# Create and switch to temporary branch
temp_branch = f"temp-squash-{source_branch}"
state.temp_branch = temp_branch
set_temp_branch(state)
print(f"\nCreating temporary branch {temp_branch}...")
code, _, error = run_command(f"git checkout -b {temp_branch} {source_branch}")
if code != 0:
print(f"Error creating temp branch: {error}")
return False
print("Preparing squash by resetting temporary branch to merge base...")
code, _, error = run_command(f"git reset --soft {merge_base}")
if code != 0:
print(f"Error resetting for squash: {error}")
return False
# Create commit with message
print("Creating squash commit...")
squash_message = create_squash_message(title, commit_messages, source_branch)
if not create_commit_with_message(squash_message):
return False
# Switch to target and try merge
print(f"\nSwitching to target branch {target_branch}...")
code, _, error = run_command(f"git checkout {target_branch}")
if code != 0:
print(f"Error checking out target branch: {error}")
return False
print(f"Attempting to merge changes from {temp_branch}...")
code, _, error = run_command(f"git merge {temp_branch}")
if code != 0:
print(f"\nMerge failed with error: {error}")
print("\nThe squash was successful, and your changes are preserved in the temporary branch.")
print("To complete the merge manually, follow these steps:")
print(f"\n1. Your squashed changes are in branch: '{temp_branch}'")
print(f"2. The target branch is: '{target_branch}'")
print("\nTo resolve the conflicts:")
print(f" git checkout {target_branch}")
print(f" git merge {temp_branch}")
print(" # resolve conflicts in your editor")
print(" git add <resolved-files>")
print(" git commit")
print(f" git push origin {target_branch} # when ready to push")
print("\nTo clean up after successful merge:")
print(f" git branch -D {temp_branch}")
# Make sure to abort the merge
print("\nAborting current merge attempt...")
run_command("git merge --abort")
# Return to original branch, but keep temp branch
print(f"Returning to {original_branch}...")
run_command(f"git checkout {original_branch}")
return False
# Clean up temp branch on success
run_command(f"git branch -D {temp_branch}")
# Push if requested
if push:
code, _, error = run_command(f"git push origin {target_branch}")
if code != 0:
print(f"Error pushing to {target_branch}: {error}")
return False
print(f"Successfully pushed to {target_branch}")
else:
print(f"Changes squashed and merged into {target_branch} locally")
print(f"To push the changes: git push origin {target_branch}")
# Return to original branch
code, _, error = run_command(f"git checkout {original_branch}")
if code != 0:
print(f"Warning: Failed to return to original branch: {error}")
return False
return True
except Exception as e:
print(f"Error during squash process: {e}")
return False
def main():
parser = argparse.ArgumentParser(
description='Squash branch and merge into target branch'
)
parser.add_argument('--target', '-t', required=True,
help='Target branch to merge changes into')
parser.add_argument('--source', '-s',
help='Source branch to squash (default: current branch)')
parser.add_argument('--title', '-m',
help='Optional manual title (overrides PR title)')
parser.add_argument('--backup', action='store_true',
help='Creates a backup branch for the source branch')
parser.add_argument('--push', action='store_true',
help='Push changes to remote after squashing')
args = parser.parse_args()
# Determine source branch early
source_branch = args.source
if not source_branch:
source_branch = get_current_branch()
if not source_branch:
sys.exit(1)
if not squash_and_merge(source_branch, args.target, args.title, args.backup, args.push):
sys.exit(1)
if __name__ == "__main__":
main()
+1 -1
View File
@@ -57,7 +57,7 @@ function run_tests() {
if [[ -z "$FAST" ]]; then
run "mypy" mypy $PYTHON_FILES
run "codespell" codespell $ALL_FILES --ignore-words=$ROOT/.codespellignore
run "codespell" codespell $ALL_FILES
fi
return $FAILED
-6
View File
@@ -22,8 +22,6 @@ from openpilot.selfdrive.pandad import can_capnp_to_list, can_list_to_can_capnp
from openpilot.selfdrive.car.cruise import VCruiseHelper
from openpilot.selfdrive.car.car_specific import MockCarState
from openpilot.sunnypilot.mads.mads import MadsParams
REPLAY = "REPLAY" in os.environ
EventName = log.OnroadEvent.EventName
@@ -115,10 +113,6 @@ class Car:
if not disengage_on_accelerator:
self.CP.alternativeExperience |= ALTERNATIVE_EXPERIENCE.DISABLE_DISENGAGE_ON_GAS
# mads
MadsParams().set_alternative_experience(self.CP)
MadsParams().set_car_specific_params(self.CP)
openpilot_enabled_toggle = self.params.get_bool("OpenpilotEnabledToggle")
controller_available = self.CI.CC is not None and openpilot_enabled_toggle and not self.CP.dashcamOnly
+1 -14
View File
@@ -19,7 +19,6 @@ from openpilot.selfdrive.controls.lib.longcontrol import LongControl
from openpilot.selfdrive.controls.lib.vehicle_model import VehicleModel
from openpilot.selfdrive.locationd.helpers import PoseCalibrator, Pose
from opendbc.sunnypilot import SunnypilotParamFlags
State = log.SelfdriveState.OpenpilotState
LaneChangeState = log.LaneChangeState
@@ -57,9 +56,6 @@ class Controls:
elif self.CP.lateralTuning.which() == 'torque':
self.LaC = LatControlTorque(self.CP, self.CI)
data_services = list(self.sm.data.keys()) + ['selfdriveStateSP']
self.sm = messaging.SubMaster(data_services, poll='selfdriveState')
def update(self):
self.sm.update(15)
if self.sm.updated["liveCalibration"]:
@@ -92,16 +88,7 @@ class Controls:
# Check which actuators can be enabled
standstill = abs(CS.vEgo) <= max(self.CP.minSteerSpeed, MIN_LATERAL_CONTROL_SPEED) or CS.standstill
ss_sp = self.sm['selfdriveStateSP']
CC.madsEnabled = ss_sp.mads.enabled
if ss_sp.mads.available:
CC.sunnypilotParams |= SunnypilotParamFlags.ENABLE_MADS.value
_lat_active = ss_sp.mads.active
else:
_lat_active = self.sm['selfdriveState'].active
CC.latActive = _lat_active and not CS.steerFaultTemporary and not CS.steerFaultPermanent and not standstill
CC.latActive = self.sm['selfdriveState'].active and not CS.steerFaultTemporary and not CS.steerFaultPermanent and not standstill
CC.longActive = CC.enabled and not any(e.overrideLongitudinal for e in self.sm['onroadEvents']) and self.CP.openpilotLongitudinalControl
actuators = CC.actuators
+1 -1
View File
@@ -21,7 +21,7 @@ else:
libs += ['OpenCL']
# Set path definitions
for pathdef, fn in {'TRANSFORM': 'transforms/transform.cl', 'LOADYUV': 'transforms/loadyuv.cl', 'LOADYUV_FLOAT': 'transforms/loadyuv_float.cl'}.items():
for pathdef, fn in {'TRANSFORM': 'transforms/transform.cl', 'LOADYUV': 'transforms/loadyuv.cl'}.items():
for xenv in (lenv, lenvCython):
xenv['CXXFLAGS'].append(f'-D{pathdef}_PATH=\\"{File(fn).abspath}\\"')
+17 -53
View File
@@ -23,9 +23,7 @@ from openpilot.selfdrive.controls.lib.desire_helper import DesireHelper
from openpilot.selfdrive.modeld.parse_model_outputs import Parser
from openpilot.selfdrive.modeld.fill_model_msg import fill_model_msg, fill_pose_msg, PublishState
from openpilot.selfdrive.modeld.constants import ModelConstants
# from openpilot.selfdrive.modeld.models.commonmodel_pyx import DrivingModelFrame, CLContext
from openpilot.selfdrive.modeld.models.commonmodel_pyx import DrivingModelFrameLegacy as DrivingModelFrame, CLContext
from openpilot.selfdrive.modeld.models.commonmodel_pyx import DrivingModelFrame, CLContext
PROCESS_NAME = "selfdrive.modeld.modeld"
@@ -50,27 +48,21 @@ class ModelState:
self.prev_desire = np.zeros(ModelConstants.DESIRE_LEN, dtype=np.float32)
self.full_features_20Hz = np.zeros((ModelConstants.FULL_HISTORY_BUFFER_LEN, ModelConstants.FEATURE_LEN), dtype=np.float32)
self.desire_20Hz = np.zeros((ModelConstants.FULL_HISTORY_BUFFER_LEN + 1, ModelConstants.DESIRE_LEN), dtype=np.float32)
self.is_20hz = False
# Initialize model runner
self.model_runner = TinygradRunner(self.frames) if TICI else ONNXRunner(self.frames)
# img buffers are managed in openCL transform code
self.numpy_inputs = {}
for key, shape in self.model_runner.input_shapes.items():
if key not in self.frames: # Managed by opencl
self.numpy_inputs[key] = np.zeros(shape, dtype=np.float32)
self.numpy_inputs = {
'desire': np.zeros((1, (ModelConstants.HISTORY_BUFFER_LEN+1), ModelConstants.DESIRE_LEN), dtype=np.float32),
'traffic_convention': np.zeros((1, ModelConstants.TRAFFIC_CONVENTION_LEN), dtype=np.float32),
'features_buffer': np.zeros((1, ModelConstants.HISTORY_BUFFER_LEN, ModelConstants.FEATURE_LEN), dtype=np.float32),
}
# Initialize model runner
self.model_runner = TinygradRunner() if TICI else ONNXRunner(self.frames)
self.parser = Parser()
net_output_size = self.model_runner.model_metadata['output_shapes']['outputs'][1]
self.output = np.zeros(net_output_size, dtype=np.float32)
num_elements = self.numpy_inputs['features_buffer'].shape[1]
step_size = int(-100 / num_elements)
self.full_features_20Hz_idxs = np.arange(step_size, step_size * (num_elements + 1), step_size)[::-1]
self.desire_reshape_dims = (self.numpy_inputs['desire'].shape[0], self.numpy_inputs['desire'].shape[1], -1, self.numpy_inputs['desire'].shape[2])
def run(self, buf: VisionBuf, wbuf: VisionBuf, transform: np.ndarray, transform_wide: 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
@@ -78,19 +70,11 @@ class ModelState:
new_desire = np.where(inputs['desire'] - self.prev_desire > .99, inputs['desire'], 0)
self.prev_desire[:] = inputs['desire']
if self.is_20hz:
self.desire_20Hz[:-1] = self.desire_20Hz[1:]
self.desire_20Hz[-1] = new_desire
self.numpy_inputs['desire'][:] = self.desire_20Hz.reshape(self.desire_reshape_dims).max(axis=2)
else:
len = inputs['desire'].shape[0]
self.numpy_inputs['desire'][0, :-1] = self.numpy_inputs['desire'][0, 1:]
self.numpy_inputs['desire'][0, -1, :len] = new_desire[:len]
for key in self.numpy_inputs:
if key in inputs and key not in ['desire']:
self.numpy_inputs[key][:] = inputs[key]
self.desire_20Hz[:-1] = self.desire_20Hz[1:]
self.desire_20Hz[-1] = new_desire
self.numpy_inputs['desire'][:] = self.desire_20Hz.reshape((1,25,4,-1)).max(axis=2)
self.numpy_inputs['traffic_convention'][:] = inputs['traffic_convention']
imgs_cl = {'input_imgs': self.frames['input_imgs'].prepare(buf, transform.flatten()),
'big_input_imgs': self.frames['big_input_imgs'].prepare(wbuf, transform_wide.flatten())}
@@ -102,30 +86,13 @@ class ModelState:
# Run model inference
self.output = self.model_runner.run_model()
outputs = self.parser.parse_outputs(self.model_runner.slice_outputs(self.output), self.numpy_inputs.keys())
outputs = self.parser.parse_outputs(self.model_runner.slice_outputs(self.output))
if self.is_20hz:
self.full_features_20Hz[:-1] = self.full_features_20Hz[1:]
self.full_features_20Hz[-1] = outputs['hidden_state'][0, :]
self.numpy_inputs['features_buffer'][:] = self.full_features_20Hz[self.full_features_20Hz_idxs]
else:
feature_len = outputs['hidden_state'].shape[1]
self.numpy_inputs['features_buffer'][0, :-1] = self.numpy_inputs['features_buffer'][0, 1:]
self.numpy_inputs['features_buffer'][0, -1, :feature_len] = outputs['hidden_state'][0, :feature_len]
self.full_features_20Hz[:-1] = self.full_features_20Hz[1:]
self.full_features_20Hz[-1] = outputs['hidden_state'][0, :]
if "desired_curvature" in outputs:
input_name_prev = None
if "prev_desired_curvs" in self.numpy_inputs.keys():
input_name_prev = 'prev_desired_curvs'
elif "prev_desired_curv" in self.numpy_inputs.keys():
input_name_prev = 'prev_desired_curv'
if input_name_prev is not None:
len = outputs['desired_curvature'][0].size
self.numpy_inputs[input_name_prev][0, :-len, 0] = self.numpy_inputs[input_name_prev][0, len:, 0]
self.numpy_inputs[input_name_prev][0, -len:, 0] = outputs['desired_curvature'][0]
idxs = np.arange(-4,-100,-4)[::-1]
self.numpy_inputs['features_buffer'][:] = self.full_features_20Hz[idxs]
return outputs
@@ -267,9 +234,6 @@ def main(demo=False):
'traffic_convention': traffic_convention,
}
if "lateral_control_params" in model.numpy_inputs.keys():
inputs['lateral_control_params'] = np.array([sm["carState"].vEgo, steer_delay], dtype=np.float32)
mt1 = time.perf_counter()
model_output = model.run(buf_main, buf_extra, model_transform_main, model_transform_extra, inputs, prepare_only)
mt2 = time.perf_counter()
+4 -48
View File
@@ -8,30 +8,25 @@
DrivingModelFrame::DrivingModelFrame(cl_device_id device_id, cl_context context) : ModelFrame(device_id, context) {
input_frames = std::make_unique<uint8_t[]>(buf_size);
input_frames_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, buf_size, NULL, &err));
img_buffer_20hz_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, buffer_length*frame_size_bytes, NULL, &err));
region.origin = (buffer_length - 1) * frame_size_bytes;
img_buffer_20hz_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, 5*frame_size_bytes, NULL, &err));
region.origin = 4 * frame_size_bytes;
region.size = frame_size_bytes;
last_img_cl = CL_CHECK_ERR(clCreateSubBuffer(img_buffer_20hz_cl, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err));
printf("Buffer length: %d, region origin: %lu, region size: %lu\n", buffer_length, region.origin, region.size);
loadyuv_init(&loadyuv, context, device_id, MODEL_WIDTH, MODEL_HEIGHT, is_float);
loadyuv_init(&loadyuv, context, device_id, MODEL_WIDTH, MODEL_HEIGHT);
init_transform(device_id, context, MODEL_WIDTH, MODEL_HEIGHT);
}
cl_mem* DrivingModelFrame::prepare(cl_mem yuv_cl, int frame_width, int frame_height, int frame_stride, int frame_uv_offset, const mat3& projection) {
run_transform(yuv_cl, MODEL_WIDTH, MODEL_HEIGHT, frame_width, frame_height, frame_stride, frame_uv_offset, projection);
for (int i = 0; i < (buffer_length - 1); i++) {
printf("Moving %d to %d from src_offset %lu to dst_offset %lu with size %lu\n", i+1, i, (i+1)*frame_size_bytes, i*frame_size_bytes, frame_size_bytes);
for (int i = 0; i < 4; i++) {
CL_CHECK(clEnqueueCopyBuffer(q, img_buffer_20hz_cl, img_buffer_20hz_cl, (i+1)*frame_size_bytes, i*frame_size_bytes, frame_size_bytes, 0, nullptr, nullptr));
}
printf("Loop done\n");
loadyuv_queue(&loadyuv, q, y_cl, u_cl, v_cl, last_img_cl);
copy_queue(&loadyuv, q, img_buffer_20hz_cl, input_frames_cl, 0, 0, frame_size_bytes);
printf("Copying from %p to %p with size %lu\n", img_buffer_20hz_cl, input_frames_cl, frame_size_bytes);
copy_queue(&loadyuv, q, last_img_cl, input_frames_cl, 0, frame_size_bytes, frame_size_bytes);
printf("Copying from %p to %p with size %lu\n", last_img_cl, input_frames_cl, frame_size_bytes);
// NOTE: Since thneed is using a different command queue, this clFinish is needed to ensure the image is ready.
clFinish(q);
@@ -46,45 +41,6 @@ DrivingModelFrame::~DrivingModelFrame() {
CL_CHECK(clReleaseCommandQueue(q));
}
DrivingModelFrameLegacy::DrivingModelFrameLegacy(cl_device_id device_id, cl_context context): ModelFrame(device_id, context) {
input_frames = std::make_unique<float[]>(buf_size);
input_frames_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, buf_size * sizeof(float), NULL, &err));
// Reduce buffer to 2 frames due to float size (4x bigger than uint8_t)
img_buffer_20hz_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, 2 * frame_size_bytes * sizeof(float), NULL, &err));
// Adjust region for 2-frame buffer
region.origin = frame_size_bytes * sizeof(float); // Point to second frame
region.size = frame_size_bytes * sizeof(float);
last_img_cl = CL_CHECK_ERR(clCreateSubBuffer(img_buffer_20hz_cl, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err));
loadyuv_init(&loadyuv, context, device_id, MODEL_WIDTH, MODEL_HEIGHT, true);
init_transform(device_id, context, MODEL_WIDTH, MODEL_HEIGHT);
}
cl_mem* DrivingModelFrameLegacy::prepare(cl_mem yuv_cl, int frame_width, int frame_height, int frame_stride, int frame_uv_offset,
const mat3 &projection) {
run_transform(yuv_cl, MODEL_WIDTH, MODEL_HEIGHT, frame_width, frame_height, frame_stride, frame_uv_offset, projection);
// Rolling buffer with just 2 frames
CL_CHECK(clEnqueueCopyBuffer(q, img_buffer_20hz_cl, img_buffer_20hz_cl, frame_size_bytes * sizeof(float), 0, frame_size_bytes * sizeof(float), 0, nullptr, nullptr));
loadyuv_queue(&loadyuv, q, y_cl, u_cl, v_cl, last_img_cl);
// Copy both frames to input buffer
copy_queue(&loadyuv, q, img_buffer_20hz_cl, input_frames_cl, 0, 0, frame_size_bytes * sizeof(float));
copy_queue(&loadyuv, q, last_img_cl, input_frames_cl, 0, frame_size_bytes * sizeof(float), frame_size_bytes * sizeof(float));
clFinish(q);
return &input_frames_cl;
}
DrivingModelFrameLegacy::~DrivingModelFrameLegacy() {
deinit_transform();
loadyuv_destroy(&loadyuv);
CL_CHECK(clReleaseMemObject(img_buffer_20hz_cl));
CL_CHECK(clReleaseMemObject(input_frames_cl));
CL_CHECK(clReleaseCommandQueue(q));
}
MonitoringModelFrame::MonitoringModelFrame(cl_device_id device_id, cl_context context) : ModelFrame(device_id, context) {
input_frames = std::make_unique<uint8_t[]>(buf_size);
+4 -31
View File
@@ -17,7 +17,6 @@
#include "selfdrive/modeld/transforms/loadyuv.h"
#include "selfdrive/modeld/transforms/transform.h"
template <typename T = uint8_t>
class ModelFrame {
public:
ModelFrame(cl_device_id device_id, cl_context context) {
@@ -25,7 +24,7 @@ public:
}
virtual ~ModelFrame() {}
virtual cl_mem* prepare(cl_mem yuv_cl, int frame_width, int frame_height, int frame_stride, int frame_uv_offset, const mat3& projection) { return NULL; }
T* buffer_from_cl(cl_mem *in_frames, int buffer_size) {
uint8_t* buffer_from_cl(cl_mem *in_frames, int buffer_size) {
CL_CHECK(clEnqueueReadBuffer(q, *in_frames, CL_TRUE, 0, buffer_size, input_frames.get(), 0, nullptr, nullptr));
clFinish(q);
return &input_frames[0];
@@ -40,7 +39,7 @@ protected:
cl_mem y_cl, u_cl, v_cl;
Transform transform;
cl_command_queue q;
std::unique_ptr<T[]> input_frames;
std::unique_ptr<uint8_t[]> input_frames;
void init_transform(cl_device_id device_id, cl_context context, int model_width, int model_height) {
y_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, model_width * model_height, NULL, &err));
@@ -63,11 +62,7 @@ protected:
}
};
class DrivingModelFrame : public ModelFrame<> {
using ModelFrame::q, ModelFrame::y_cl, ModelFrame::u_cl, ModelFrame::v_cl;
using ModelFrame::init_transform, ModelFrame::deinit_transform, ModelFrame::run_transform;
using ModelFrame::input_frames;
class DrivingModelFrame : public ModelFrame {
public:
DrivingModelFrame(cl_device_id device_id, cl_context context);
~DrivingModelFrame();
@@ -78,8 +73,6 @@ public:
const int MODEL_FRAME_SIZE = MODEL_WIDTH * MODEL_HEIGHT * 3 / 2;
const int buf_size = MODEL_FRAME_SIZE * 2;
const size_t frame_size_bytes = MODEL_FRAME_SIZE * sizeof(uint8_t);
const bool is_float = false;
const uint8_t buffer_length = is_float ? 2 : 5;
private:
LoadYUVState loadyuv;
@@ -87,7 +80,7 @@ private:
cl_buffer_region region;
};
class MonitoringModelFrame : public ModelFrame<> {
class MonitoringModelFrame : public ModelFrame {
public:
MonitoringModelFrame(cl_device_id device_id, cl_context context);
~MonitoringModelFrame();
@@ -101,23 +94,3 @@ public:
private:
cl_mem input_frame_cl;
};
class DrivingModelFrameLegacy : public ModelFrame<float> {
public:
DrivingModelFrameLegacy(cl_device_id device_id, cl_context context);
~DrivingModelFrameLegacy();
cl_mem* prepare(cl_mem yuv_cl, int frame_width, int frame_height, int frame_stride, int frame_uv_offset, const mat3& projection);
const int MODEL_WIDTH = 512;
const int MODEL_HEIGHT = 256;
const int MODEL_FRAME_SIZE = MODEL_WIDTH * MODEL_HEIGHT * 3 / 2;
const int buf_size = MODEL_FRAME_SIZE * 2;
private:
cl_mem input_frames_cl;
cl_mem img_buffer_20hz_cl;
cl_mem last_img_cl;
LoadYUVState loadyuv;
cl_buffer_region region;
const size_t frame_size_bytes = MODEL_FRAME_SIZE * sizeof(float); // This is the only change
};
+2 -6
View File
@@ -12,19 +12,15 @@ cdef extern from "common/clutil.h":
cl_context cl_create_context(cl_device_id)
cdef extern from "selfdrive/modeld/models/commonmodel.h":
cppclass ModelFrame[T]:
cppclass ModelFrame:
int buf_size
T * buffer_from_cl(cl_mem*, int);
unsigned char * buffer_from_cl(cl_mem*, int);
cl_mem * prepare(cl_mem, int, int, int, int, mat3)
cppclass DrivingModelFrame:
int buf_size
DrivingModelFrame(cl_device_id, cl_context)
cppclass DrivingModelFrameLegacy:
int buf_size
DrivingModelFrameLegacy(cl_device_id, cl_context)
cppclass MonitoringModelFrame:
int buf_size
MonitoringModelFrame(cl_device_id, cl_context)
+5 -33
View File
@@ -4,12 +4,12 @@
import numpy as np
cimport numpy as cnp
from libc.string cimport memcpy
from libc.stdint cimport uintptr_t, uint8_t
from libc.stdint cimport uintptr_t
from msgq.visionipc.visionipc cimport cl_mem
from msgq.visionipc.visionipc_pyx cimport VisionBuf, CLContext as BaseCLContext
from .commonmodel cimport CL_DEVICE_TYPE_DEFAULT, cl_get_device_id, cl_create_context
from .commonmodel cimport mat3, ModelFrame as cppModelFrame, DrivingModelFrame as cppDrivingModelFrame, DrivingModelFrameLegacy as cppDrivingModelFrameLegacy, MonitoringModelFrame as cppMonitoringModelFrame
from .commonmodel cimport mat3, ModelFrame as cppModelFrame, DrivingModelFrame as cppDrivingModelFrame, MonitoringModelFrame as cppMonitoringModelFrame
cdef class CLContext(BaseCLContext):
@@ -33,7 +33,7 @@ def cl_from_visionbuf(VisionBuf buf):
cdef class ModelFrame:
cdef cppModelFrame[uint8_t] * frame
cdef cppModelFrame * frame
cdef int buf_size
def __dealloc__(self):
@@ -52,40 +52,12 @@ cdef class ModelFrame:
return np.asarray(<cnp.uint8_t[:self.buf_size]> data2)
cdef class ModelFrame_float:
cdef cppModelFrame[float] * frame
cdef int buf_size
def __dealloc__(self):
del self.frame
def prepare(self, VisionBuf buf, float[:] projection):
cdef mat3 cprojection
memcpy(cprojection.v, &projection[0], 9*sizeof(float))
cdef cl_mem * data
data = self.frame.prepare(buf.buf.buf_cl, buf.width, buf.height, buf.stride, buf.uv_offset, cprojection)
return CLMem.create(data)
def buffer_from_cl(self, CLMem in_frames):
cdef float * data2
data2 = self.frame.buffer_from_cl(in_frames.mem, self.buf_size)
return np.asarray(<cnp.float32_t[:self.buf_size]> data2)
cdef class DrivingModelFrame(ModelFrame):
cdef cppDrivingModelFrame * _frame
def __cinit__(self, CLContext context):
self._frame = new cppDrivingModelFrame(context.device_id, context.context)
self.frame = <cppModelFrame[uint8_t]*>(self._frame)
self.buf_size = self._frame.buf_size
cdef class DrivingModelFrameLegacy(ModelFrame_float):
cdef cppDrivingModelFrameLegacy * _frame
def __cinit__(self, CLContext context):
self._frame = new cppDrivingModelFrameLegacy(context.device_id, context.context)
self.frame = <cppModelFrame[float]*>(self._frame)
self.frame = <cppModelFrame*>(self._frame)
self.buf_size = self._frame.buf_size
cdef class MonitoringModelFrame(ModelFrame):
@@ -93,6 +65,6 @@ cdef class MonitoringModelFrame(ModelFrame):
def __cinit__(self, CLContext context):
self._frame = new cppMonitoringModelFrame(context.device_id, context.context)
self.frame = <cppModelFrame[uint8_t]*>(self._frame)
self.frame = <cppModelFrame*>(self._frame)
self.buf_size = self._frame.buf_size
+2 -2
View File
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b31b504bc0b440d3bc72967507a00eb4f112285626fbfb3135011500325ee6d6
size 51452435
oid sha256:72d3d6f8d3c98f5431ec86be77b6350d7d4f43c25075c0106f1d1e7ec7c77668
size 49096168
+1 -4
View File
@@ -84,8 +84,7 @@ class Parser:
outs[name] = pred_mu_final.reshape(final_shape)
outs[name + '_stds'] = pred_std_final.reshape(final_shape)
def parse_outputs(self, outs: dict[str, np.ndarray], input_keys: [str]) -> dict[str, np.ndarray]:
""" Parse the model outputs into a dictionary of numpy arrays. The input_keys are used to determine how the output should be parsed. """
def parse_outputs(self, outs: dict[str, np.ndarray]) -> dict[str, np.ndarray]:
self.parse_mdn('plan', outs, in_N=ModelConstants.PLAN_MHP_N, out_N=ModelConstants.PLAN_MHP_SELECTION,
out_shape=(ModelConstants.IDX_N,ModelConstants.PLAN_WIDTH))
self.parse_mdn('lane_lines', outs, in_N=0, out_N=0, out_shape=(ModelConstants.NUM_LANE_LINES,ModelConstants.IDX_N,ModelConstants.LANE_LINES_WIDTH))
@@ -97,8 +96,6 @@ class Parser:
out_shape=(ModelConstants.LEAD_TRAJ_LEN,ModelConstants.LEAD_WIDTH))
if 'lat_planner_solution' in outs:
self.parse_mdn('lat_planner_solution', outs, in_N=0, out_N=0, out_shape=(ModelConstants.IDX_N,ModelConstants.LAT_PLANNER_SOLUTION_WIDTH))
if 'desired_curvature' in outs and "prev_desired_curv" in input_keys:
self.parse_mdn('desired_curvature', outs, in_N=0, out_N=0, out_shape=(ModelConstants.DESIRED_CURV_WIDTH,))
for k in ['lead_prob', 'lane_lines_prob', 'meta']:
self.parse_binary_crossentropy(k, outs)
self.parse_categorical_crossentropy('desire_state', outs, out_shape=(ModelConstants.DESIRE_PRED_WIDTH,))
+13 -36
View File
@@ -2,18 +2,18 @@ import os
from openpilot.system.hardware import TICI
#
from tinygrad.tensor import Tensor, dtypes
from openpilot.selfdrive.modeld.runners.tinygrad_helpers import qcom_tensor_from_opencl_address
from openpilot.selfdrive.modeld.runners.ort_helpers import make_onnx_cpu_runner, ORT_TYPES_TO_NP_TYPES
if TICI:
from tinygrad.tensor import Tensor
from tinygrad.dtype import dtypes
from openpilot.selfdrive.modeld.runners.tinygrad_helpers import qcom_tensor_from_opencl_address
os.environ['QCOM'] = '1'
else:
from openpilot.selfdrive.modeld.runners.ort_helpers import make_onnx_cpu_runner
import pickle
import numpy as np
from pathlib import Path
from abc import ABC, abstractmethod
# from openpilot.selfdrive.modeld.models.commonmodel_pyx import DrivingModelFrame, CLMem
from openpilot.selfdrive.modeld.models.commonmodel_pyx import DrivingModelFrameLegacy as DrivingModelFrame, CLMem
if TICI:
os.environ['QCOM'] = '1'
from openpilot.selfdrive.modeld.models.commonmodel_pyx import DrivingModelFrame, CLMem
SEND_RAW_PRED = os.getenv('SEND_RAW_PRED')
MODEL_PATH = Path(__file__).parent / '../models/supercombo.onnx'
@@ -51,40 +51,22 @@ class ModelRunner(ABC):
class TinygradRunner(ModelRunner):
"""Tinygrad implementation of model runner for TICI hardware."""
def __init__(self, frames: dict[str, DrivingModelFrame] | None = None):
def __init__(self):
super().__init__()
# Load Tinygrad model
with open(MODEL_PKL_PATH, "rb") as f:
self.model_run = pickle.load(f)
self.input_to_dtype = {}
self.input_to_device = {}
for idx, name in enumerate(self.model_run.captured.expected_names):
self.input_to_dtype[name] = self.model_run.captured.expected_st_vars_dtype_device[idx][2] # 2 is the dtype
self.input_to_device[name] = self.model_run.captured.expected_st_vars_dtype_device[idx][3] # 3 is the device
assert TICI or frames is not None, "TinygradRunner requires frames for non-TICI hardware"
self.frames = frames
self.is_memory_model = None # Use None to indicate that it hasn't been determined yet
def prepare_inputs(self, imgs_cl: dict[str, CLMem], numpy_inputs: dict[str, np.ndarray]) -> dict:
if self.is_memory_model is None:
self.is_memory_model = any(self.input_to_dtype[key] == dtypes.uint8 for key in imgs_cl)
print(f"Memory model: {self.is_memory_model}")
# Initialize image tensors if not already done
for key in imgs_cl:
if TICI and self.is_memory_model and key not in self.inputs:
if key not in self.inputs:
self.inputs[key] = qcom_tensor_from_opencl_address(imgs_cl[key].mem_address, self.input_shapes[key], dtype=dtypes.uint8)
elif not TICI or not self.is_memory_model:
shape = self.frames[key].buffer_from_cl(imgs_cl[key]).reshape(self.input_shapes[key])
self.inputs[key] = Tensor(shape, device=self.input_to_device[key], dtype=self.input_to_dtype[key]).realize()
# Update numpy inputs
for key, value in numpy_inputs.items():
if key not in imgs_cl:
self.inputs[key] = Tensor(value, device=self.input_to_device[key], dtype=self.input_to_dtype[key]).realize()
for k, v in numpy_inputs.items():
if k not in self.inputs:
self.inputs[k] = Tensor(v, device='NPY').realize()
return self.inputs
@@ -100,11 +82,6 @@ class ONNXRunner(ModelRunner):
self.runner = make_onnx_cpu_runner(MODEL_PATH)
self.frames = frames
self.input_to_nptype = {
model_input.name: ORT_TYPES_TO_NP_TYPES[model_input.type]
for model_input in self.runner.get_inputs()
}
def prepare_inputs(self, imgs_cl: dict[str, CLMem], numpy_inputs: dict[str, np.ndarray]) -> dict:
self.inputs = numpy_inputs.copy()
for key in imgs_cl:
+2 -4
View File
@@ -4,7 +4,7 @@
#include <cstdio>
#include <cstring>
void loadyuv_init(LoadYUVState* s, cl_context ctx, cl_device_id device_id, int width, int height, bool use_float) {
void loadyuv_init(LoadYUVState* s, cl_context ctx, cl_device_id device_id, int width, int height) {
memset(s, 0, sizeof(*s));
s->width = width;
@@ -15,9 +15,7 @@ void loadyuv_init(LoadYUVState* s, cl_context ctx, cl_device_id device_id, int w
"-cl-fast-relaxed-math -cl-denorms-are-zero "
"-DTRANSFORMED_WIDTH=%d -DTRANSFORMED_HEIGHT=%d",
width, height);
const char * loadyuv_path = use_float ? LOADYUV_FLOAT_PATH : LOADYUV_PATH;
printf(" Use float: %d\n Using loadyuv_path: %s\n", use_float, loadyuv_path);
cl_program prg = cl_program_from_file(ctx, device_id, loadyuv_path, args);
cl_program prg = cl_program_from_file(ctx, device_id, LOADYUV_PATH, args);
s->loadys_krnl = CL_CHECK_ERR(clCreateKernel(prg, "loadys", &err));
s->loaduv_krnl = CL_CHECK_ERR(clCreateKernel(prg, "loaduv", &err));
+1 -2
View File
@@ -7,8 +7,7 @@ typedef struct {
cl_kernel loadys_krnl, loaduv_krnl, copy_krnl;
} LoadYUVState;
void loadyuv_init(LoadYUVState* s, cl_context ctx, cl_device_id device_id, int width, int height, bool use_float);
inline void loadyuv_init(LoadYUVState* s, cl_context ctx, cl_device_id device_id, int width, int height) { loadyuv_init(s, ctx, device_id, width, height, false); };
void loadyuv_init(LoadYUVState* s, cl_context ctx, cl_device_id device_id, int width, int height);
void loadyuv_destroy(LoadYUVState* s);
@@ -1,49 +0,0 @@
#define UV_SIZE ((TRANSFORMED_WIDTH/2)*(TRANSFORMED_HEIGHT/2))
__kernel void loadys(__global uchar8 const * const Y,
__global float * out,
int out_offset)
{
const int gid = get_global_id(0);
const int ois = gid * 8;
const int oy = ois / TRANSFORMED_WIDTH;
const int ox = ois % TRANSFORMED_WIDTH;
const uchar8 ys = Y[gid];
const float8 ysf = convert_float8(ys);
// 02
// 13
__global float* outy0;
__global float* outy1;
if ((oy & 1) == 0) {
outy0 = out + out_offset; //y0
outy1 = out + out_offset + UV_SIZE*2; //y2
} else {
outy0 = out + out_offset + UV_SIZE; //y1
outy1 = out + out_offset + UV_SIZE*3; //y3
}
vstore4(ysf.s0246, 0, outy0 + (oy/2) * (TRANSFORMED_WIDTH/2) + ox/2);
vstore4(ysf.s1357, 0, outy1 + (oy/2) * (TRANSFORMED_WIDTH/2) + ox/2);
}
__kernel void loaduv(__global uchar8 const * const in,
__global float8 * out,
int out_offset)
{
const int gid = get_global_id(0);
const uchar8 inv = in[gid];
const float8 outv = convert_float8(inv);
out[gid + out_offset / 8] = outv;
}
__kernel void copy(__global float8 * in,
__global float8 * out,
int in_offset,
int out_offset)
{
const int gid = get_global_id(0);
out[gid + out_offset / 8] = in[gid + in_offset / 8];
}
+2 -2
View File
@@ -137,8 +137,8 @@ void Panda::enable_deepsleep() {
handle->control_write(0xfb, 0, 0);
}
void Panda::send_heartbeat(bool engaged, bool engaged_mads) {
handle->control_write(0xf3, engaged, engaged_mads);
void Panda::send_heartbeat(bool engaged) {
handle->control_write(0xf3, engaged, 0);
}
void Panda::set_can_speed_kbps(uint16_t bus, uint16_t speed) {
+1 -1
View File
@@ -75,7 +75,7 @@ public:
std::optional<std::string> get_serial();
void set_power_saving(bool power_saving);
void enable_deepsleep();
void send_heartbeat(bool engaged, bool engaged_mads);
void send_heartbeat(bool engaged);
void set_can_speed_kbps(uint16_t bus, uint16_t speed);
void set_can_fd_auto(uint16_t bus, bool enabled);
void set_data_speed_kbps(uint16_t bus, uint16_t speed);
+2 -18
View File
@@ -41,8 +41,6 @@
#define CUTOFF_IL 400
#define SATURATE_IL 1000
#define ALT_EXP_DISENGAGE_LATERAL_ON_BRAKE 2048
ExitHandler do_exit;
bool check_all_connected(const std::vector<Panda *> &pandas) {
@@ -55,18 +53,6 @@ bool check_all_connected(const std::vector<Panda *> &pandas) {
return true;
}
bool process_mads_heartbeat(SubMaster *sm) {
const int &alt_exp = (*sm)["carParams"].getCarParams().getAlternativeExperience();
const bool disengage_lateral_on_brake = (alt_exp & ALT_EXP_DISENGAGE_LATERAL_ON_BRAKE) != 0;
const auto &mads = (*sm)["selfdriveStateSP"].getSelfdriveStateSP().getMads();
const bool heartbeat_type = disengage_lateral_on_brake ? mads.getActive() : mads.getEnabled();
const bool engaged = sm->allAliveAndValid({"selfdriveStateSP"}) && heartbeat_type;
return engaged;
}
Panda *connect(std::string serial="", uint32_t index=0) {
std::unique_ptr<Panda> panda;
try {
@@ -158,7 +144,6 @@ void fill_panda_state(cereal::PandaState::Builder &ps, cereal::PandaState::Panda
ps.setIgnitionLine(health.ignition_line_pkt);
ps.setIgnitionCan(health.ignition_can_pkt);
ps.setControlsAllowed(health.controls_allowed_pkt);
ps.setControlsAllowedLat(health.controls_allowed_lat_pkt);
ps.setTxBufferOverflow(health.tx_buffer_overflow_pkt);
ps.setRxBufferOverflow(health.rx_buffer_overflow_pkt);
ps.setPandaType(hw_type);
@@ -342,7 +327,7 @@ void send_peripheral_state(Panda *panda, PubMaster *pm) {
}
void process_panda_state(std::vector<Panda *> &pandas, PubMaster *pm, bool spoofing_started) {
static SubMaster sm({"selfdriveState", "selfdriveStateSP", "carParams"});
static SubMaster sm({"selfdriveState"});
std::vector<std::string> connected_serials;
for (Panda *p : pandas) {
@@ -381,9 +366,8 @@ void process_panda_state(std::vector<Panda *> &pandas, PubMaster *pm, bool spoof
sm.update(0);
const bool engaged = sm.allAliveAndValid({"selfdriveState"}) && sm["selfdriveState"].getSelfdriveState().getEnabled();
const bool engaged_mads = process_mads_heartbeat(&sm);
for (const auto &panda : pandas) {
panda->send_heartbeat(engaged, engaged_mads);
panda->send_heartbeat(engaged);
}
}
}
-111
View File
@@ -105,24 +105,6 @@ class Events:
ret.append(event)
return ret
def has(self, event_name: int) -> bool:
return event_name in self.events
def contains_in_list(self, events_list: list[int]) -> bool:
return any(event_name in self.events for event_name in events_list)
def remove(self, event_name: int, static: bool = False) -> None:
if static and event_name in self.static_events:
self.static_events.remove(event_name)
if event_name in self.events:
self.event_counters[event_name] = self.event_counters[event_name] + 1
self.events.remove(event_name)
def replace(self, prev_event_name: int, cur_event_name: int, static: bool = False) -> None:
self.remove(prev_event_name, static)
self.add(cur_event_name, static)
class Alert:
def __init__(self,
@@ -969,99 +951,6 @@ EVENTS: dict[int, dict[str, Alert | AlertCallbackType]] = {
ET.WARNING: personality_changed_alert,
},
# sunnypilot
EventName.lkasEnable: {
ET.ENABLE: EngagementAlert(AudibleAlert.engage),
},
EventName.lkasDisable: {
ET.USER_DISABLE: EngagementAlert(AudibleAlert.disengage),
},
EventName.manualSteeringRequired: {
ET.USER_DISABLE: Alert(
"Automatic Lane Centering is OFF",
"Manual Steering Required",
AlertStatus.normal, AlertSize.mid,
Priority.LOW, VisualAlert.none, AudibleAlert.disengage, 1.),
},
EventName.manualLongitudinalRequired: {
ET.WARNING: Alert(
"Smart/Adaptive Cruise Control: OFF",
"Manual Speed Control Required",
AlertStatus.normal, AlertSize.mid,
Priority.LOW, VisualAlert.none, AudibleAlert.none, 1.),
},
EventName.silentLkasEnable: {
ET.ENABLE: EngagementAlert(AudibleAlert.none),
},
EventName.silentLkasDisable: {
ET.USER_DISABLE: EngagementAlert(AudibleAlert.none),
},
EventName.silentBrakeHold: {
ET.USER_DISABLE: EngagementAlert(AudibleAlert.none),
ET.NO_ENTRY: NoEntryAlert("Brake Hold Active"),
},
EventName.silentWrongGear: {
ET.WARNING: Alert(
"",
"",
AlertStatus.normal, AlertSize.none,
Priority.LOWEST, VisualAlert.none, AudibleAlert.none, 0.),
ET.NO_ENTRY: Alert(
"Gear not D",
"openpilot Unavailable",
AlertStatus.normal, AlertSize.mid,
Priority.LOW, VisualAlert.none, AudibleAlert.none, 0.),
},
EventName.silentReverseGear: {
ET.PERMANENT: Alert(
"Reverse\nGear",
"",
AlertStatus.normal, AlertSize.full,
Priority.LOWEST, VisualAlert.none, AudibleAlert.none, .2, creation_delay=0.5),
ET.NO_ENTRY: NoEntryAlert("Reverse Gear"),
},
EventName.silentDoorOpen: {
ET.WARNING: Alert(
"",
"",
AlertStatus.normal, AlertSize.none,
Priority.LOWEST, VisualAlert.none, AudibleAlert.none, 0.),
ET.NO_ENTRY: NoEntryAlert("Door Open"),
},
EventName.silentSeatbeltNotLatched: {
ET.WARNING: Alert(
"",
"",
AlertStatus.normal, AlertSize.none,
Priority.LOWEST, VisualAlert.none, AudibleAlert.none, 0.),
ET.NO_ENTRY: NoEntryAlert("Seatbelt Unlatched"),
},
EventName.silentParkBrake: {
ET.WARNING: Alert(
"",
"",
AlertStatus.normal, AlertSize.none,
Priority.LOWEST, VisualAlert.none, AudibleAlert.none, 0.),
ET.NO_ENTRY: NoEntryAlert("Parking Brake Engaged"),
},
EventName.controlsMismatchLateral: {
ET.IMMEDIATE_DISABLE: ImmediateDisableAlert("Controls Mismatch: Lateral"),
ET.NO_ENTRY: NoEntryAlert("Controls Mismatch: Lateral"),
},
}
-22
View File
@@ -23,8 +23,6 @@ from openpilot.selfdrive.controls.lib.latcontrol import MIN_LATERAL_CONTROL_SPEE
from openpilot.system.version import get_build_metadata
from openpilot.sunnypilot.mads.mads import ModularAssistiveDrivingSystem
REPLAY = "REPLAY" in os.environ
SIMULATION = "SIMULATION" in os.environ
TESTING_CLOSET = "TESTING_CLOSET" in os.environ
@@ -133,10 +131,6 @@ class SelfdriveD:
elif self.CP.passive:
self.events.add(EventName.dashcamMode, static=True)
self.mads = ModularAssistiveDrivingSystem(self)
sock_services = list(self.pm.sock.keys()) + ['selfdriveStateSP']
self.pm = messaging.PubMaster(sock_services)
def update_events(self, CS):
"""Compute onroadEvents from carState"""
@@ -457,25 +451,11 @@ class SelfdriveD:
self.pm.send('onroadEvents', ce_send)
self.events_prev = self.events.names.copy()
# selfdriveStateSP
ss_sp_msg = messaging.new_message('selfdriveStateSP')
ss_sp_msg.valid = True
ss_sp = ss_sp_msg.selfdriveStateSP
mads = ss_sp.mads
mads.state = self.mads.state_machine.state
mads.enabled = self.mads.enabled
mads.active = self.mads.active
mads.available = self.mads.enabled_toggle
self.pm.send('selfdriveStateSP', ss_sp_msg)
def step(self):
CS = self.data_sample()
self.update_events(CS)
if not self.CP.passive and self.initialized:
self.enabled, self.active = self.state_machine.update(self.events)
if not self.CP.notCar:
self.mads.update(CS, self.sm)
self.update_alerts(CS)
self.publish_selfdriveState(CS)
@@ -493,8 +473,6 @@ class SelfdriveD:
self.is_metric = self.params.get_bool("IsMetric")
self.experimental_mode = self.params.get_bool("ExperimentalMode") and self.CP.openpilotLongitudinalControl
self.personality = self.read_personality_param()
self.mads.read_params()
time.sleep(0.1)
def run(self):
+1 -1
View File
@@ -41,7 +41,7 @@ class TestAlerts:
events = log.OnroadEvent.EventName.schema.enumerants
for name, e in events.items():
if not name.endswith("DEPRECATED") and not name.startswith("eventReserved"):
if not name.endswith("DEPRECATED"):
fail_msg = f"{name} @{e} not in EVENTS"
assert e in EVENTS.keys(), fail_msg
@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:737f95d34912db53a303ba6499e6f697b510fa5872b8c71f701a4fe924b5466e
size 356169
@@ -1,3 +0,0 @@
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