mirror of https://github.com/commaai/tinygrad.git
c5a941d466
* WebGL WIP * 84% of ops passing test * tests passing 100% * Cleanup, refactor * Shave off some lines * Work on dtypes * TestOps at 100% again * Efficient net shaders compile in browser webgl2 * Compile all efficientnet shaders in browser * Create empty textures for tensor buffers * Run program. Up next weight loading * Exported WebGL model working * Add tests, refactor * Explicit cast alu for GLSL * Fix CI tests * WebGL efficientnet demo * Compile and run yolov8 in browser * Fix imports * Simplify yolo compile * Fix bool*bool and cast cmplt to float * More tests * Do std tests pass on CI? * Skip std tests on CI * Remove explicit_cast_alu hack, and solve it in code_for_op * Move to new dtype-less alloc api * Remove local size hack: optimize local_size only if device has local * Remove glsl.py, and move content to cstyle * dont_use_locals in opts * Fix dtype tests * type_map in CStyleLanguage * Make core changes smaller, cleaner, refactor export_model and demo * Skip pad_slice * Simplify: render_const, render_conditional * solve bool alu for other binops, cleaner ops_webgl * Fix noopt hack * Remove some skipIfs * WebGL image hack * type_names is a better name * global_max * Fix dtype import * Fix type_names -> type_map * Fix lint * Remove webgpu, back to 5k lines (#3040) * remove webgpu * max 5000 lines * revert those to master * retain that cstyle --------- Co-authored-by: Ahmed Harmouche <ahmedharmouche92@gmail.com> |
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