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- 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
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