Replaced occurrences of `openpilot.common.numpy_fast` with direct imports from `numpy` across multiple files. This simplifies dependencies and ensures consistency with standard Python library usage. Adjusted tests to mock `numpy` functions accordingly.
This function logs detailed build failure information, including the status and build log retrieved from OpenCL. It provides better debugging support for diagnosing issues with OpenCL program compilation.
Introduce `clutil_legacy` to handle OpenCL program creation from binaries and error string mapping. This improves modularity and prepares for enhanced OpenCL compatibility across platforms.
* Add support for TinyGrad model runner processing
Introduced a new function `is_tinygrad_model` to detect TinyGrad as an active model runner. Updated the `is_stock_model` logic to account for TinyGrad models and added a new process entry for TinyGrad in the model manager. This enables handling TinyGrad models alongside existing configurations.
adding modeld back
Add support for `modeld_v2` and update paths for consistency
Updated `SConscript` files to integrate `modeld_v2` alongside `modeld` and adjusted script paths for correct metadata handling. Adjusted various configurations and scripts, such as `labeler.yaml` and `build_release.sh`, to include `modeld_v2` and ensure cohesive project structure.
Refactor imports to use updated `modeld_v2` paths.
Replaced outdated `modeld` references with their `modeld_v2` counterparts for consistency and clarity across the codebase. Also updated `.gitignore` to accommodate new directory structure. This change ensures better maintainability and alignment with the new directory schema.
Refactor and reorganize modeld to sunnypilot/modeld_v2 structure.
Moved and renamed `modeld` components to the new `sunnypilot/modeld_v2` directory for better organization and modularity. Updated imports and file references to align with the new structure, ensuring compatibility and functionality. Streamlined project structure to improve maintainability and future development.
* typo
* Use `stock` model runner and refactor model checks.
Replaces outdated model detection logic with unified `stock` runner integration, simplifying the decision flow for model selection. Includes `stock` as a new enum in the `Runner` type and updates affected references accordingly.
* Handle missing 'sim_pose' in model outputs gracefully.
Added conditional checks to ensure the code handles cases where 'sim_pose' is absent in the model outputs. Fallback behaviors use 'plan' data when 'sim_pose' is unavailable, preventing potential errors and enhancing robustness.
* modeld: script to generate new default model hash and name
* break CI intentionally to trigger new changes
* more verbose and fix
* more verbose hehe
* modeld: Retain pre-20hz drive model support
* Method not available anymore on OP
* some fixes
* Revert "Long planner get accel: new function args (#34288)"
* Revert "Fix low-speed allow_throttle behavior in long planner (#33894)"
* Revert "long planner: allow throttle reflects usage (#33792)"
* Revert "Gate acceleration on model gas press predictions (#33643)"
* Reapply "Gate acceleration on model gas press predictions (#33643)"
This reverts commit 76b08e37cb8eb94266ad9f6fed80db227e7c3428.
* Reapply "long planner: allow throttle reflects usage (#33792)"
This reverts commit c75244ca4e9c48084b0205b7c871e1a4e0f4e693.
* Reapply "Fix low-speed allow_throttle behavior in long planner (#33894)"
This reverts commit b2b7d21b7b685a2785d1beede3d223f0bb954807.
* Reapply "Long planner get accel: new function args (#34288)"
This reverts commit 74dca2fccf4da59cc8ac62ba9c0ad10ba3fc264b.
* don't need
* retain snpe
* wrong
* they're symlinks
* remove
* put back into VCS
* add back
* don't include built
* Refactor model runner retrieval with caching support
Added caching for active model runner type via `ModelRunnerTypeCache` to enhance performance and avoid redundant checks. Introduced a `force_check` flag to bypass the cache when necessary. Updated related code to handle cache clearing during onroad transitions.
* Update model runner determination logic with caching fix
Enhances `get_active_model_runner` to utilize caching more effectively by ensuring type consistency and updating cache only when necessary. Also updates `is_snpe_model` to pass the `started` state to the runner determination function, improving behavior for dynamic checks.
* parse inputs via metadata
* load model and metadata dynamically
* cherry pick from devtekve as base
* lateral_control_params & prev_desired_curv: MLSIM V0 to Null Pointer
* old desired_curv data: MLSIM V1 to Postal Service
* Bringing what was on master back then
* Cleaning up
* Refactor model pipeline for modularity and dynamic input handling
Refactored the model pipeline by introducing helper functions to modularize model loading, metadata extraction, and input preparation. Improved flexibility in handling dynamic input keys and parsing outputs based on model configuration. Removed deprecated or unused code segments for cleaner and more maintainable structure.
* Push NDv2 because why not and fix modeld
* `Refactor model parsing and clean unused code dependencies`
Simplified `parse_outputs` by removing unnecessary `input_keys` parameter, ensuring cleaner logic. Updated `PROCESS_NAME` for standardization and eliminated deprecated `Pathlib` dependencies in model paths. Minor adjustments improve input handling for lateral control parameters.
* Refactor model and metadata loading functions.
Simplified and clarified `load_model` by renaming it to `get_model_path` and removing redundant variable assignments. Streamlined `load_metadata` by directly returning the loaded metadata without intermediate variables. These changes improve code readability and maintainability.
* Refactor modeld process selection based on SNPE support.
Introduce conditional logic to determine and start the appropriate modeld process (SNPE or default) based on hardware support. This improves flexibility and ensures correct process management.
* Walrus baby
* Update longitudinal_planner.py
* Improve model download progress handling and translations
Refactored model download status handling logic for better clarity and added mechanisms to track status changes efficiently. Updated UI text and translations across multiple languages to reflect consistent and accurate model download states.
* Revert "Update longitudinal_planner.py"
This reverts commit b44a687e4cfb1e2708457478e8626c731f42db0c.
* Fix variable naming for curvature size in modeld.py
Renamed the variable `len` to `length` to avoid conflict with the built-in `len()` function, improving code clarity and preventing potential errors. Also removed trailing spaces in commented-out sections for better formatting consistency.
* sync with upstream
* some are different
* should work
* sim_pose only exists in in ndv3 and prior
* dynamic meta constants
* fix
* uiview: disable power saving
* fix this
* ain't coasting for y'all
* Static analysis
* Refactor initialization of model inputs for clarity.
Removed redundant pre-initialization of `driving_style`, `nav_features`, and `nav_instructions` variables. Instead, directly initialize these within their respective conditional blocks for better readability and reduced memory usage.
* default to none
* enable in next PR
* more
* Revert "more"
This reverts commit f5a4220588c5b014b29173f8f89e1fecdec25336.
* Revert "enable in next PR"
This reverts commit 621cc4f18ead8489cb05a22a73b48e5e4fe33787.
* no need to cast bool
* nuke
* fix desired curvature for pre LAv1 models
* mypy
* static
* fix
* new json
* Going to a test branch with a different model json list
* renamed model json
* Update model runner handling in custom.capnp and helpers
Refactored model runner logic by introducing a `runner` field in `custom.capnp` and simplifying `get_active_model_runner` logic. Removed deprecated function `get_model_runner_by_filename` and added a temporary filter in `fetcher.py` to enforce `snpe` until full tinygrad support is implemented.
* Revert "Update model runner handling in custom.capnp and helpers"
This reverts commit f34d872c1369fa5479496ba4e0cce7b3063ab358.
* Revert "renamed model json"
This reverts commit 15c6ed303b01ab78d1a576dc1d4ad105db7518df.
* Revert "Going to a test branch with a different model json list"
This reverts commit 4c1408fee524656049ac6502ac4f578e5b632d54.
* Reapply "renamed model json"
This reverts commit c6fec6912a1517d161dc9b23dce43ddf46866312.
Reapply "Going to a test branch with a different model json list"
This reverts commit 83e253e9a3b6573191d907584d6368d991395b0a.
* Add 'runner' property to 'ModelBundle' and update relevant functions
The 'ModelBundle' class in 'custom.capnp' has been extended to include a 'runner' property. This required updating 'fetcher.py' to handle the 'runner' property when parsing model bundles. Additionally, the helper function 'get_model_runner_by_filename' has been removed from 'helpers.py' as it is no longer needed because the 'runner' property provides this information. The 'get_active_model_runner' function has also been updated in light of these changes.
* Refine bundle selection logic in SoftwarePanelSP
Improve logic for determining which model bundle to display by considering download status and failure state. Remove unnecessary function call to enhance clarity and maintainability.
* tmp
* Add retrieval of active model bundle in manager loop
Introduce a call to `get_active_bundle` to fetch the active model bundle and store it in `self.active_bundle`. This ensures the active bundle is always up-to-date during the model management process.
* Add "Use Default" option for model selection
Introduced a "Use Default" option in the model selection dropdown, allowing users to reset to the default model. Adjusted logic to handle default selection and ensure proper parameter updates. Fixed bundle status handling during the download process in the model manager.
* Refactor type hint in active_bundle assignment.
Removed an unnecessary type hint in the active_bundle assignment for cleaner and more maintainable code. This change does not affect functionality but improves code readability.
* no nested
* update json url
* split out
* format
* condense
* more
---------
Co-authored-by: Jason Wen <haibin.wen3@gmail.com>
Co-authored-by: Kumar <36933347+rav4kumar@users.noreply.github.com>
* modeld: Retain pre-20hz drive model support
* Method not available anymore on OP
* some fixes
* Revert "Long planner get accel: new function args (#34288)"
* Revert "Fix low-speed allow_throttle behavior in long planner (#33894)"
* Revert "long planner: allow throttle reflects usage (#33792)"
* Revert "Gate acceleration on model gas press predictions (#33643)"
* Reapply "Gate acceleration on model gas press predictions (#33643)"
This reverts commit 76b08e37cb8eb94266ad9f6fed80db227e7c3428.
* Reapply "long planner: allow throttle reflects usage (#33792)"
This reverts commit c75244ca4e9c48084b0205b7c871e1a4e0f4e693.
* Reapply "Fix low-speed allow_throttle behavior in long planner (#33894)"
This reverts commit b2b7d21b7b685a2785d1beede3d223f0bb954807.
* Reapply "Long planner get accel: new function args (#34288)"
This reverts commit 74dca2fccf4da59cc8ac62ba9c0ad10ba3fc264b.
* don't need
* retain snpe
* wrong
* they're symlinks
* remove
* put back into VCS
* add back
* don't include built
* Refactor model runner retrieval with caching support
Added caching for active model runner type via `ModelRunnerTypeCache` to enhance performance and avoid redundant checks. Introduced a `force_check` flag to bypass the cache when necessary. Updated related code to handle cache clearing during onroad transitions.
* Update model runner determination logic with caching fix
Enhances `get_active_model_runner` to utilize caching more effectively by ensuring type consistency and updating cache only when necessary. Also updates `is_snpe_model` to pass the `started` state to the runner determination function, improving behavior for dynamic checks.
* default to none
* enable in next PR
* more
---------
Co-authored-by: DevTekVE <devtekve@gmail.com>
* modeld: Retain pre-20hz drive model support
* Method not available anymore on OP
* some fixes
* Revert "Long planner get accel: new function args (#34288)"
* Revert "Fix low-speed allow_throttle behavior in long planner (#33894)"
* Revert "long planner: allow throttle reflects usage (#33792)"
* Revert "Gate acceleration on model gas press predictions (#33643)"
* Reapply "Gate acceleration on model gas press predictions (#33643)"
This reverts commit 76b08e37cb8eb94266ad9f6fed80db227e7c3428.
* Reapply "long planner: allow throttle reflects usage (#33792)"
This reverts commit c75244ca4e9c48084b0205b7c871e1a4e0f4e693.
* Reapply "Fix low-speed allow_throttle behavior in long planner (#33894)"
This reverts commit b2b7d21b7b685a2785d1beede3d223f0bb954807.
* Reapply "Long planner get accel: new function args (#34288)"
This reverts commit 74dca2fccf4da59cc8ac62ba9c0ad10ba3fc264b.
* don't need
* retain snpe
* wrong
* they're symlinks
* remove
* put back into VCS
* add back
* don't include built
* Refactor model runner retrieval with caching support
Added caching for active model runner type via `ModelRunnerTypeCache` to enhance performance and avoid redundant checks. Introduced a `force_check` flag to bypass the cache when necessary. Updated related code to handle cache clearing during onroad transitions.
* Update model runner determination logic with caching fix
Enhances `get_active_model_runner` to utilize caching more effectively by ensuring type consistency and updating cache only when necessary. Also updates `is_snpe_model` to pass the `started` state to the runner determination function, improving behavior for dynamic checks.
* default to none
* enable in next PR
* more
---------
Co-authored-by: DevTekVE <devtekve@gmail.com>
* tinygrad with snpe
* force with snpe to validate
* fix path
* fix more paths
* Adjust modeld execution logic based on active model runner
Introduced a check to conditionally execute `modeld` based on the active model runner. Added support for distinguishing between SNPE and TinyGrad runners using new helper functions and updated `custom.capnp` definitions. This change optimizes process management by ensuring compatibility with the selected model runner.
* Refactor modeld process function checks.
Introduce `is_stock_model` to clarify logic and replace direct uses of `is_snpe_model` where the stock model condition is needed. Additionally, rename the duplicate "modeld" process in sunnyPilot to "modeld_snpe" for clarity and consistency.
* ignore tg
* fix process name
* ruff
* fix thneed paths
* mypy
* remove our own
* use upstream compile3
* fix thneed
* try this
* Revert "remove our own"
This reverts commit 1cf4f57502565c274628e185c66f1eb04c4d9bbe.
* try using compile2.py again
* add back symlink
* fix path
* more fix
* wrong path again
* Revert "wrong path again"
This reverts commit f5301c19d594defb23cda2604168bcb02c830f3e.
* update
* hardcode path to our submodule
* force path
* try this
* fix file name
* try this
* again
* Revert "again"
This reverts commit 17c8cd73768a2de5aaf2a34d202aa6f03d59d72d.
* Revert "try this"
This reverts commit 767f78bbcf17b08edbc20f283d10a1990bf4264f.
* Revert "fix file name"
This reverts commit 485eef68da981da571fe9a9ebf3aecdb95e5588c.
* Revert "try this"
This reverts commit 41fef87680cdda1ba8cbd7e5c59256e6c57010a0.
* Revert "force path"
This reverts commit 5c3b408937bff0f61b150971b328d127501c5bf0.
* Revert "hardcode path to our submodule"
This reverts commit 5ee1950b6f4fce73e7e73b6971b996a9989d0a93.
* Revert "update"
This reverts commit fb313bd7fbeb50111f3c4a11137b4cfd9cabc3fa.
* Reapply "wrong path again"
This reverts commit 309639aeb3575e20b215bbbcc27e48923ee95c87.
* Revert "wrong path again"
This reverts commit f5301c19d594defb23cda2604168bcb02c830f3e.
* Revert "more fix"
This reverts commit 23dd423e78e60bd6a0bd73e921bfba9a5aad88bd.
* Revert "fix path"
This reverts commit 75d338f2bda2dfa77044e33f4c6553390621b13b.
* Revert "add back symlink"
This reverts commit 9f71ad0b8ae2068e431c455af9d4f954d024eec7.
* Revert "try using compile2.py again"
This reverts commit 914117d2e1c6c4270f7bef1a5305847a1d7bab17.
* Reapply "remove our own"
This reverts commit b1996377b346658f2094cba9032a66230784cb3e.
* don't even compile anymore
* need it for default snpe model
* add to lfs
* bring onnx back for sim
* must add this back
* need this
---------
Co-authored-by: DevTekVE <devtekve@gmail.com>
Jason Wen