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Vehicle Researcher
dd778596b7
date: 2025-03-15T21:10:51 master commit: fb7b9c0f9420d228f03362970ebcfb7237095cf3
20 lines
533 B
Plaintext
20 lines
533 B
Plaintext
Each model should be a clean single file.
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They are imported from the top level `models` directory
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It should be capable of loading weights from the reference imp.
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We will focus on these 5 models:
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# Resnet50-v1.5 (classic) -- 8.2 GOPS/input
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# Retinanet
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# 3D UNET (upconvs)
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# RNNT
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# BERT-large (transformer)
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They are used in both the training and inference benchmark:
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https://mlcommons.org/en/training-normal-21/
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https://mlcommons.org/en/inference-edge-30/
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And we will submit to both.
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NOTE: we are Edge since we don't have ECC RAM
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