* Revert "OP model 7 (#37760)"
This reverts commit 052692b25d.
* Revert "OP model (#37740)"
This reverts commit cb32793300.
* dead
* parse_model_outputs: drop extra space
* bump tg
* bump tg
* assign
* bump
* cpu llvm
* frame buffer updated in place, no need to return
* don't bake in stale pointers
* fix update image output indices
* lint
* bump
* Chunk tinygrad pkl below GitHub max size
* pull that out
* rm glob
* make work
* Single name def
* unused comment
* more cleanups
* revert that
* 10MB overhead
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Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com>
* Revert "Revert tgwarp again (#37161)"
This reverts commit 45099e7fcd.
* Weird uv sizes
* Fix interleaving
* Fix on CPU
* make CPU safe
* Prevent corruption without clone
* Claude knows speeed
* fix interleaving
* less kernels
* blob caching
* This is still slightly faster
* Comment for blob cache
Hi! The point of this pr is to make the model run easier to read. On the latest tinygrad numpy().flatten() empirically does the same thing as the internal contiguous().realize().uop.base.buffer.numpy(). numpy() is also documented (docstrings), which can assist new contributors in learning what each potential execution does. Torq_boi or yassine, I know you want proof in the code base, so here it is. As of tinygrad commit 2f55005:
in tinygrad_repo/tinygrad/tensor.py
Lines 316-318 (def _buffer): ensure the tenso is contiguous() and realized() before accessing the raw buffer.
Line 378 (def numpy): Wraps the buffer access and adds a reshape to match the tensor shape.
self._buffer() is what executes contiguous().realize() and returns the buffer object.
Calling numpy() on that buffer object returns a 1D array (defined in tinygrad/device.py:193 via np.frombuffer).
The reshape(self.shape) at the end of Tensor.numpy() then adds dimensions to that 1D array. The added .flatten() removes those dimensions, flattening it back to a 1D array. Effectively the same as what is currently done, but less complex.
* Revert "revert tg calib and opencl cleanup (#37113)"
This reverts commit 51312afd3d.
* power draw is a lil higher
* just don't miss a cycle
* fix warp targets
* fix tinygrad dep
* Revert "Remove all the OpenCL (#37105)"
This reverts commit d5cbb89d84.
* Revert "rm common/mat.h"
This reverts commit 4ce701150a.
* Revert "Calibrate in tg (#36621)"
This reverts commit 593c3a0c8e.
* Update Python packages
* not available anymore
* also this
* also this
* maybe?
* version
* try
* Revert "version"
This reverts commit 9ac4401b9ca59677b82736faff8baf66861df5f2.
* revert
* cffi
* issue
* comment
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Co-authored-by: Vehicle Researcher <user@comma.ai>
Co-authored-by: Maxime Desroches <desroches.maxime@gmail.com>
* Add modelDataV2SP and lane turn logic implementation
Note: still need to hook up to other modeld's create unit test, fix stuff, and do the UI for it
* add unit tests for lane turn logic
* Add lane turn desire controls to models panel
* use `events_sp` instead of `events`
* integrate modelDataV2SP messaging to the other modeld controllers
* move this to that
* use min for general population here, on custom branches, change this to max :)
* Update events.py
Co-authored-by: royjr <royjr96@gmail.com>
* Update events.py
Co-authored-by: royjr <royjr96@gmail.com>
* refactor lane turn value control into one method
* Update selfdrive/ui/sunnypilot/qt/offroad/settings/models_panel.cc
* add integration tests for lane turn desire
* 10 updates is possibly more representative of real life
* real objects ofc
* desc: add toggle description for clarity
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Co-authored-by: royjr <royjr96@gmail.com>
* wrap the params
* just 1 class and use a single param for now
* refactor
* fix
* cache itself
* no longer
* rename
* type hint
* in helpers instead
* lint
* all
* init as 0 to pass ci
* init as 0 to pass ci
* return_default
* fix init
* add LAT_SMOOTH_SECONDS directly in modeld, temp remove dynamic desc, red difffffffff
* Introduce zero inputs for Lead, and plan to conform with new SP model introduced Monday, July 7, 2025
* Clean this up
* We can revert this after dev-c3-new testing and ready to merge.
* This needs to be apart of the conditional else fail
* Add full conditional
* Update longitudinal_planner.py
* Mypy from myphone!
* red diff
* Make generation a property for clarity
* Even clearer!
* Affix to generation, while allowing older models to use this IF param is set.
* seems a bit repetitive yea?
* dynamic
* Make most outputs dynamic
* Rm toggle from refactor
* refactor(modeld): simplify MHP output parsing logic
- Introduced `_parse_mhp_output` helper to remove redundancy and streamline `parse_dynamic_outputs`.
- Ensures improved code maintainability and clarity.
* refactor(longitudinal_planner): streamline generation handling logic
- Simplified `generation` assignment with inline conditional for better readability.
- Adjusted `mlsim` logic to default to model simulation when `generation` is unset.
* for ease of syncs from now on
* fix
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Co-authored-by: DevTekVE <devtekve@gmail.com>
Jason Wen