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StarPilot/tinygrad_repo/examples/mlperf
github-actions[bot] eefc084302 sunnypilot v2025.12.18-3820
version: sunnypilot v2025.003.000 (dev)
date: 2025-12-18T05:48:43
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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