* cabana: allow heatmap resizing without clipping
* cabana: keep outer grid lines inside the heatmap
* cabana: add a visible heatmap resize handle
* cabana: use the standard pane divider for resizing
* cabana: refine signal heatmap grid
* cabana: restore direct signal color blending
* cabana: strengthen heatmap signal saturation
* Revert "cabana: strengthen heatmap signal saturation"
This reverts commit 07ee9664d533f260b5bbfaed1afc4391c795603c.
* cabana: remove signal cell gradients
* cabana: centralize accessible theme and data colors
* cabana: remove color contrast tests
* cabana: simplify theme color helpers
* cabana: soften inactive message rows in dark mode
* cabana: retain original signal tooltip behavior
* 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
Harald Schäfer