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fix minor issue#84

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dhuangnm merged 1 commit intomainfrom
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Jul 17, 2023
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fix minor issue#84
dhuangnm merged 1 commit intomainfrom
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Fix minor issue that caused GHA to fail.

@dhuangnm dhuangnm requested review from a team, anmarques, shubhra and tdg5 and removed request for a team July 13, 2023 20:01
@dhuangnm dhuangnm merged commit 2aca427 into main Jul 17, 2023
@dhuangnm dhuangnm deleted the build branch July 31, 2023 19:10
dsikka pushed a commit that referenced this pull request Aug 17, 2023
Co-authored-by: dhuang <dhuang@MacBook-Pro-2.local>
dsikka pushed a commit that referenced this pull request Aug 17, 2023
Co-authored-by: dhuang <dhuang@MacBook-Pro-2.local>
bfineran pushed a commit that referenced this pull request Oct 26, 2023
Co-authored-by: dhuang <dhuang@MacBook-Pro-2.local>
bfineran added a commit that referenced this pull request Oct 27, 2023
(previous commits)
* Add recipe_name to default file names

* Upgrade to transformers release V4.30.2 (#62)

* Update trainer and model flows to accommodate sparseml

Disable FP16 on QAT start (#12)

* Override LRScheduler when using LRModifiers

* Disable FP16 on QAT start

* keep wrapped scaler object for training after disabling

Using QATMatMul in DistilBERT model class (#41)

Removed double quantization of output of context layer. (#45)

Fix DataParallel validation forward signatures (#47)

* Fix: DataParallel validation forward signatures

* Update: generalize forward_fn selection

Best model after epoch (#46)

fix sclaer check for non fp16 mode in trainer (#38)

Mobilebert QAT (#55)

* Remove duplicate quantization of vocabulary.

enable a QATWrapper for non-parameterized matmuls in BERT self attention (#9)

* Utils and auxillary changes

update Zoo stub loading for SparseZoo 1.1 refactor (#54)

add flag to signal NM integration is active (#32)

Add recipe_name to file names

* Fix errors introduced in manual cherry-pick upgrade

Co-authored-by: Benjamin Fineran <bfineran@users.noreply.github.com>

* update build versions for NM fork pypi push (#74)

* fix nightly package name (#75)

* add make build command (#76)

* add GHA workflow files to build nightly and release packages (#77)

* add GHA workflow files to build nightly and release packages

* fix name

---------

Co-authored-by: dhuang <dhuang@MacBook-Pro-2.local>

* bump up version to 1.6.0 (#79)

Co-authored-by: dhuang <dhuang@MacBook-Pro-2.local>

---------

Co-authored-by: Konstantin <konstantin@neuralmagic.com>
Co-authored-by: Konstantin Gulin <66528950+KSGulin@users.noreply.github.com>
Co-authored-by: dhuangnm <74931910+dhuangnm@users.noreply.github.com>
Co-authored-by: dhuang <dhuang@MacBook-Pro-2.local>

minor improvements for build workflow files (#83)

Co-authored-by: dhuang <dhuang@MacBook-Pro-2.local>

fix minor issue (#84)

Co-authored-by: dhuang <dhuang@MacBook-Pro-2.local>

OPT with quantizable MatMuls (#85)

fix a minor issue for release build (#86)

Co-authored-by: dhuang <dhuang@MacBook-Pro-2.local>

update version in version.py

Testmo (#91)

* improve GHA workflow files to build nightly and release, and report status to testmo

* clean up

* report exit code

* Assign value to exit_code

---------

Co-authored-by: dhuang <dhuang@MacBook-Pro-2.local>

Update trainer.py - fix DistributedSampler import (#93)

DistributedSampler is used but not imported in `trainer.py`

Research/llama/bmm quantization (#94)

* Quantize attention matmuls

* Quantize attention matmuls

bump base transformers version
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2 participants