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dragonpilot/tinygrad_repo/examples/mlperf
Adeeb Shihadeh 100f89a161 openpilot v0.9.9 release (#35334)
* openpilot v0.9.9 release

date: 2025-06-05T19:54:08
master commit: 8aadf02b2fd91f4e1285e18c2c7feb32d93b66f5

* AGNOS 12.4 (#35558)

agnos12.4

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Co-authored-by: Vehicle Researcher <user@comma.ai>
Co-authored-by: Maxime Desroches <desroches.maxime@gmail.com>
2025-06-17 16:32:08 -07:00
..
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2025-03-18 10:05:17 -07:00
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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