Files
tinygrad/examples
George Hotz e0201922e3 Q network for pruning BEAM / uops deduping / BEAM_ESTIMATE (#2142)
* stable diffusion < 324ms

* revert swap action

* fix tests due to more sum splitting

* REDUCEOP_SPLIT_THRESHOLD env var

* added from unaligned np test (#2134)

* align cpu buffer before copy into cl buffer (#2135)

* remove shelve from handcode_resnet50_opt.py (#2139)

* Add dictionary keys to reduce db size (#2131)

* work

* ignore beam cache

* dictionary keys are generic

* minor db cleanups

* fix baseline and extract dataset

* fix training

* log likelihood

* more lin to feats

* sts

* training policynet

* net sort of works

* dedup

* refactor, stupid new actions

* fix uops deduping

* BEAM_ESTIMATE

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Co-authored-by: chenyu <chenyu@fastmail.com>
Co-authored-by: imaolo <56898718+imaolo@users.noreply.github.com>
2023-10-27 10:53:06 -10:00
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