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* add system json for mi300x mlperf ``` python3 -m mlperf_logging.system_desc_checker examples/mlperf/training_submission_v5.0/tinycorp/systems/tinybox_8xMI300X.json training 4.1.0 INFO - System description checker passed for tinybox 8xMI300X ``` also removed the rocm from tinybox_red since we are not using it * update mlperf-logging version
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