tinygrad

History

Karan Handa a8aa13dc91 [ready] Replacing os with pathlib (#1708 ) * replace os.path with pathlib * safe convert dirnames to pathlib * replace all os.path.join * fix cuda error * change main chunk * Reviewer fixes * fix vgg * Fixed everything * Final fixes * ensure consistency * Change all parent.parent... to parents		2023-08-30 10:41:08 -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	[ready] Replacing os with pathlib (#1708 )	2023-08-30 10:41:08 -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