* 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
* 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
* Reapply "usbgpu: never materialize model weights in RAM" (#38271)
This reverts commit 8196b743af.
* release oob buffers as we load them
* don't leak fds
* lint
* 10s faster loading time for big model
* bigger big
* don't load big model in ram
* patch tg to allow out of band buffers
* dump/load oob
* roundtrip pkl to disk
* streaming chunking
* to_disk
* fixup
* linter
* Revert "bigger big"
This reverts commit 7a8147dd7fab88db963d512ab4008de940714025.
firestar5683