forked from tinygrad/tinygrad
qazalandGitHub
07f7383d29
* only hk bf16 gemm * rm asm gemm * more cleanup * half isn't supported in asm gemm anymore * more test edits * unused * remove TestMagicGu * uop gemm is still tested * minimal diff
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