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* work * sqtt timeline in CLI * format all printers nicely * s/Showed/Printed * ansistrip * sys.exit * keep colors in list * work from amd_copy_matmul * has_more always gets returned * linter * don't print colors * more colors * wow this is so deep * work * minor details * selected * improve progress bar * remove it * 22, global_load_vaddr is so long
Each model should be a clean single file. They are imported from the top level `models` directory It should be capable of loading weights from the reference imp. We will focus on these 5 models: # Resnet50-v1.5 (classic) -- 8.2 GOPS/input # Retinanet # 3D UNET (upconvs) # RNNT # BERT-large (transformer) They are used in both the training and inference benchmark: https://mlcommons.org/en/training-normal-21/ https://mlcommons.org/en/inference-edge-30/ And we will submit to both. NOTE: we are Edge since we don't have ECC RAM