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tinygrad/examples/mlperf
Francis Lata 90eff347e2 tinytqdm write support (#6359)
* add write support

* add test

* update test case to compare write outputs

* assert final write output

* flush when using write

* update write logic

* Revert "update write logic"

This reverts commit 5e0e611b46.

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Co-authored-by: chenyu <chenyu@fastmail.com>
2024-10-16 14:51:41 -04:00
..
2024-09-10 04:37:28 -04:00
2024-08-08 11:28:24 -04:00
2024-10-16 14:51:41 -04:00
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