* Show pairing provider and Prime status in device settings
* remove unnecessary
* simplify
* bespoke human code
* clean
* readme
* prime layout
* sepearte qr code stuff
* move icons
* move qr code into its own widget
* clean
* Fix prime menu lint
* Update widget leak test for prime menu
* fix lint
* update to new theme
* change names
* fix font size
* get rid of subtitle
* adjust commacare icon
* drop manage, its cleaner
* edit text
* clean
* for github and apple always return generic
* pairing notification
* update copy and remove duplicates
* don't write too often
* remove
* make sure it doesn't show up on 3X
* reorg
* remove redundancies
* Show pairing provider and Prime status in device settings
* remove unnecessary
* simplify
* bespoke human code
* clean
* readme
* prime layout
* sepearte qr code stuff
* move icons
* move qr code into its own widget
* clean
* Fix prime menu lint
* Update widget leak test for prime menu
* fix lint
* update to new theme
* change names
* fix font size
* get rid of subtitle
* adjust commacare icon
* drop manage, its cleaner
* edit text
* clean
* for github and apple always return generic
* updates
* go back to original
* noice
* better overwrite
* close on unpairing if in management section
* missing 20 px when icon is there
* clean diff
* fix lint
* Update tinygrad to latest upstream with minimal openpilot patches
* Rebase tinygrad on latest upstream with one remaining patch
* Use retargetable model and warp artifacts
* Pack compiled model weights to reduce startup time
* Memory-map out-of-band model weights
* Use unmodified upstream tinygrad master
* Keep locally built model artifacts native
* Remove model chunking and use LFS for Chestnut releases
* Check Git blob sizes once during release packaging
* Download the big model for Chestnut nightly builds
* Reuse published LFS models when pushing releases
* Preserve LFS configuration when copying Chestnut releases
* Detect release builds independently of LFS attributes
* not worth 1m
* saves 24s
* save 13s
* parallelize model compilation
* explain compiler affinity
* full cpufreq
* rm that for now
* cmt
---------
Co-authored-by: elkoled <elkoled@gmail.com>
* Ship precompiled eGPU model and camera warps
Compile f78ed37d-afad-4dbc-8050-40ea885eedde/12864 through xx/ml_tools/openpilot_compile using the pinned tinygrad version.
* Precompile the existing master driving model
Use the unchanged master ONNX (SHA-256 6fee5937923c74848df4a63f6239eb6331c6274dd4bdb7a5d6ec0388a8b543d5) instead of updating the trained model.
* Compile camera warps on device
* Remove obsolete ONNX chunking and big model build check
* Chunk model artifacts only during release packaging
* Require model and camera warps for Chestnut readiness
* Recompile precompiled CPU helpers for the runtime host
* Ship the eGPU model with an ARM submission helper
* Exempt model pickles from the build product size limit
* Use tinygrad generic ONNX compiler artifacts
* Keep compiler temporary model buffers off device tmpfs
* Keep recurrent model state updates on the GPU
* Use compiled output buffers and swap recurrent state inputs
* Note when ONNX chunk reassembly can be removed
* Bump tinygrad to rebased compilers and AMD queue fix
* Keep recurrent buffers fixed and use faster USB argument updates
* Bump tinygrad for faster model startup
* modeld: use tinygrad ONNX and warp compilers for driving and DM
* Bump tinygrad with current openpilot model compile tests
* modeld: prioritize tinygrad compiler imports in build environment
* Use compiler branch based on openpilot's pinned tinygrad
* modeld: invoke tinygrad compilers without firmware patch
* modeld: move history queues into ONNX
* Move ONNX history export into xx exporter
* Rename ONNX image input to new_img
* Combine ONNX model history state
* Revert model history README addition
* Keep float32 input packing from master
* Rename model input specs to input shapes
selfdrived: don't alert on a message that was never received
posenetInvalid, locationdTemporaryError and paramsdTemporaryError are raised
off the capnp defaults of deviceMotion and vehicleParameters before either
message has ever arrived. When modeld is down, locationd and paramsd never
publish, the defaults read as a nan posenet speed, and that NoEntryAlert can
hide the process not running alert that names modeld.
Same guard as the big model alert in #38500.
* esim: MICI profile download UI
* Show temporary feedback for non-LPA QR codes
* Scan eSIM QR codes every 250 ms
* Shrink eSIM error text and log displayed errors
* Activate downloaded eSIM through the profile tap flow
* Let the eSIM connectivity error wrap naturally
* Release add-profile button feedback immediately
* Check internet before opening the eSIM QR scanner
* Use UI network state and standard connectivity dialog for eSIM
* Drop LPA prime settings change from eSIM download UI
* Scope eSIM UI constants to their owning classes
* Remove unused ot codespell exception
* esim: simplify profile download operation and UI state
* esim: share activation code validation with QR scanner
* esim: match QR scanner video to cabin preview
* esim: show errors in a scrollable text dialog
* esim: require nonblank profile nicknames
* modeld: build DM warp and model JITs for all camera configs
In #38684, camera_configs on comma_arm64 was restricted to only the host device
running SCons (selecting either _os_fisheye or _ar_ox_fisheye).
However, prebuilt release and nightly bundles are built on TICI/tizi runners
in Jenkins and distributed to both Comma 3/3X (TICI) and Comma 4 (MICI) devices.
Because the build machine was TICI, dm_warp_1344x760_tinygrad.pkl was omitted
from the packaged bundle, causing dmonitoringmodeld to fail with FileNotFoundError
on Comma 4 and leaving driver-monitoring calibration stuck at 0%.
Restore CAMERA_CONFIGS so both camera resolutions (1928x1208 and 1344x760)
are built for all platforms.
Fixes#38762
* simplify
---------
Co-authored-by: ZwX1616 <zwx1616@gmail.com>
Harald Schäfer