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tinygrad/examples/mlperf
Nick af94bfc401 fix retinanet shared memory race condition in parallel tests (#15030)
Append PID to shared memory names in batch_load_retinanet to prevent
FileExistsError when pytest-xdist runs multiple test workers that each
call _setup_shared_mem with the same hardcoded name.
2026-02-27 08:36:24 +08:00
..
2026-01-09 09:21:59 -05:00
2025-06-21 10:44:47 -04:00
2025-12-24 17:42:08 -05:00
2023-05-10 16:30:49 -07:00

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