tinygrad/examples/mlperf
terafo aa60feda48
Fix naming conflict with huggingface datasets (#1161)
* Rename in files

* Move files

* Moved to extra/datasets as suggested

* Changes to files

* Fixed stupid mistake

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Co-authored-by: terafo <terafo@protonmail.com>
2023-07-07 10:43:44 -07:00
..
README start on mlperf models 2023-05-10 16:30:49 -07:00
helpers.py Add MLPerf UNet3D model (#775) 2023-05-28 20:38:19 -07:00
metrics.py Add MLPerf UNet3D model (#775) 2023-05-28 20:38:19 -07:00
model_eval.py Fix naming conflict with huggingface datasets (#1161) 2023-07-07 10:43:44 -07:00
model_spec.py MaskRCNN Inference (#884) 2023-06-25 15:37:51 -07:00
model_train.py feat: add train scaffolding (#859) 2023-05-30 07:10:40 -07:00

README

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