* Reapply "modeld: split warp" (#38085)
This reverts commit d489dd8909.
* don't time make_random_inputs
* depend on chunk targets
* also depend on compile_modeld's dependencies
* zero ll patched big model
* probe in a subprocess so usbgpu lock gets released
* compiles
* runs
* num_jobs gets overwritten, use side effect
* poll tg devices
* make sure build crashes on missing gpu
* fine not to rely on Device.default
* seperate tg env for each model runner
* comment
* Revert "seperate tg env for each model runner"
This reverts commit f6470cc4258eaeb3e8e37907ef370871c9af5aa4.
* env is shared, gate on flag
* no fallback warp dev must be set
* build for current device only, unless pc/release
* comment
* list
* listen for plug in
* add icon to status bar, read params on every frame (?)
* log available devices
* try copy out when loading?
* Revert "log available devices"
This reverts commit e8c52a5d59456d4820ecb13b99a6c46ea1386a20.
* Revert "try copy out when loading?"
This reverts commit 518f403aa03faeda1950fe3dbce0d9e4c1584455.
* don't trigger device probe/caching on modeld prepare
* re-export with ll and road edges
* dont cache devices in manager process
* get USBGPU from params
* no usbgpu env
* missed one
* sconscript don't poll
* unconditional env
* always explicitely set devices on input tensors
* set DEV so amd uses right compiler and iface??
* fix flag
* bump tg
* rm xdg_cache_home
* tg don't bump all the way
* missing gmmu=0 at compile time
* dm set dev
* tg backend
* update gitignore
* missing import
* unused imports
* rely on Device.DEFAULT at compile time (already the case bc onnxrunner)
* comments
* dm warp needs DEV set too
* build both smol and big
* misc typos
* set dev at compile time
* don't need
* DEV=CPU when getting metadata, ensure we don't grab gpu lock
* this would also grab lock
* put bool
* warp compile always prepare only
* missed one
* poll ui
* missing here
* don't force usbgpu at build time
* tmp patch fetch_fw
* catch all, follow hardwared patterns
* simpler
* compile make input queues
* revert this
* group this more readable
* rm empty line
* make dummy frame using numpy
* revert compile make input queues
* no compiler at runtime
* cleanup
* fine to rebuild all on change to device node for now
* fix usbgpu_present
* fix sconscript
* no size in header stream decompress
* DEBUG=2
* minimal viable feedback
* egpu gray
* oops
* gotta do this actually
* modeld build only depends on modeld devices
* don't ship onnx to release? or chunk
* don't need
* can only set compiler on dev=
* none device works, will use default
* make linter happy
* chunk agnostic onnx input to compile_modeld
* chunk big onnx
* +x chunker
* fix #!
* and don't ship chunked onnx to release
* firmware now in correct location
* better err on missing onnx/chunk
* SConscript also need to accept chunked onnx
* metadata also need to load maybe chunked
* dedupe cmd
* this needs to be on cpu
* devices are set in the tgflags, we already depend on them
* rebuilding on changed order is fine
* read file chunked can already load either chunked or not
* chunk all big onnx
* less confusing
* unused import
* python device to load onnx bytes
* default device for runners, python for metadata
* why not
* chunked to shm
process_replay/migration: drop transitive dep on long_mpc/acados
migrate_longitudinalPlan only needs get_accel_from_plan + CONTROL_N_T_IDX,
both available from drive_helpers + ModelConstants directly. Importing
from longitudinal_planner instead pulled in long_mpc -> libacados.so as
an eager side-effect, which downstream log-migration consumers (e.g.
commaai/xx pipeline) shouldn't pay for.
* speedup slowest
* less setup
* rm som reset logging
* simpliy a lil more
* lil more
* down to 36s
* sleeeeeeep
* finishing touches
* oopsie
* ty fix
---------
Co-authored-by: Comma Device <device@comma.ai>
* filter lead prob
* rename
* try correcting model bias
* Revert "try correcting model bias"
This reverts commit b5e9b7147e58f200ca2e02ccea8adf88be99e206.
* fast gain slow lose
* cmt
* deb
* rename
* rename
* end
ui: nonblocking writes for ExperimentalMode + DriverView toggles + cycle-restart
All four put calls fire from the main render thread on user interaction
and block on disk fsync, causing visible UI frame spikes.
Each consumer is safe under nonblocking:
- onboarding inactivity_callback: write-and-forget (~25 ms saved)
- home long-press exp toggle: ui_state.experimental_mode owns visual state (~10 ms)
- onroad exp_button: $held_mode + selfdriveState owns visual state
- restart_needed_callback (OnroadCycleRequested): cross-process signal,
consumer is selfdrived which polls the param
BigParamControl-driven toggles in settings (developer.py, toggles.py)
are intentionally left blocking — those widgets refresh visual state
from disk every frame to mirror external changes, which would race a
nonblocking write.
* log raylib fps
* log fps from frame time
* whitespace
* or just log frame time?
* init pubmaster in init window
* yield timings
* bump ordinal
* dont log on screen off
* UInt
* lint
* /0
* oops
* oops2
* more precise raylib frame time, can get fps with 1/ft
* don't crash on screen off
* NL
* no _
---------
Co-authored-by: Shane Smiskol <shane@smiskol.com>
commaci-public