sunnypilot v2026.002.000

version: sunnypilot v2026.002.000 (staging)
date: 2026-07-21T07:44:02
master commit: 2c334ede443d7391d27575af8c854a095ba702a8

tinygrad_repo/examples/mlperf/README

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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