Commit Graph

143 Commits

Author SHA1 Message Date
Name
7f5088503f
removes decord (#33987)
* removes decord dependency

optimize

np

Revert "optimize"

This reverts commit faa136b51ec4ec5858e5b0ae40eb7ef89a88b475.

helpers as documentation

pydoc

missing keys

* make fixup

* require_av

---------

Co-authored-by: ad <hi@arnaudiaz.com>
2024-10-17 17:27:34 +02:00
Arthur
fa3f2db5c7
Add documentation for docker (#33156)
* initial commit

* nit
2024-10-14 11:58:45 +02:00
Marc Sun
cac4a4876b
[Quantization] Switch to optimum-quanto (#31732)
* switch to optimum-quanto rebase squach

* fix import check

* again

* test try-except

* style
2024-10-02 15:14:34 +02:00
Ita Zaporozhets
e48e5f1f13
Support reading tiktoken tokenizer.model file (#31656)
* use existing TikTokenConverter to read tiktoken tokenizer.model file

* del test file

* create titktoken integration file

* adding tiktoken llama test

* ALTNATIVE IMPLEMENTATION: supports llama 405B

* fix one char

* remove redundant line

* small fix

* rm unused import

* flag for converting from tiktokeng

* remove unneeded file

* ruff

* remove llamatiktokenconverter, stick to general converter

* tiktoken support v2

* update test

* remove stale changes

* udpate doc

* protect import

* use is_protobuf_available

* add templateprocessor in tiktokenconverter

* reverting templateprocessor from tiktoken support

* update test

* add require_tiktoken

* dev-ci

* trigger build

* trigger build again

* dev-ci

* [build-ci-image] tiktoken

* dev-ci

* dev-ci

* dev-ci

* dev-ci

* change tiktoken file name

* feedback review

* feedback rev

* applying feedback, removing tiktoken converters

* conform test

* adding docs for review

* add doc file for review

* add doc file for review

* add doc file for review

* support loading model without config.json file

* Revert "support loading model without config.json file"

This reverts commit 2753602e51c34cef2f184eb11f36d2ad1b02babb.

* remove dev var

* updating docs

* safely import protobuf

* fix protobuf import error

* fix protobuf import error

* trying isort to fix ruff error

* fix ruff error

* try to fix ruff again

* try to fix ruff again

* try to fix ruff again

* doc table of contents

* add fix for consistency.dockerfile torchaudio

* ruff

* applying feedback

* minor typo

* merging with push-ci-image

* clean up imports

* revert dockerfile consistency
2024-09-06 14:24:02 +02:00
Sai-Suraj-27
3562772969
fix: Fixed pydantic required version in dockerfiles to make it compatible with DeepSpeed (#33105)
Fixed pydantic required version in dockerfiles.
2024-08-26 17:10:36 +02:00
Joao Gante
93e0e1a852
CI: add torchvision to the consistency image (#32941) 2024-08-26 15:17:45 +01:00
Arthur
3bb7b05229
Update docker image building (#32918)
commit
2024-08-21 21:23:10 +02:00
Ita Zaporozhets
54b7703682
support torch-speech (#32537) 2024-08-19 11:26:35 +02:00
Zach Mueller
0cea2081a3
Unpin deepspeed in Docker image/tests (#32572)
Unpin deepspeed
2024-08-14 18:30:25 +01:00
Joao Gante
36fd35e1cf
Dependencies: fix typo (#32389)
deps_2
2024-08-06 12:36:33 +01:00
Joao Gante
e3d8285a84
Docker: add speech dep to the consistency docker image (#32374) 2024-08-01 13:46:11 +01:00
Yih-Dar
f0bc49e7f6
use torch 2.4 in 2 CI jobs (#32302)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2024-07-29 22:12:21 +02:00
Joao Gante
d1a1bcf56a
Docker: TF pin on the consistency job (#31928)
* pin

* dev-ci

* dev-ci

* dev-ci

* test pushed image
2024-07-12 14:28:46 +02:00
Yih-Dar
8e3b1fef97
Remove ninja from docker image build (#31080)
fix

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2024-05-28 11:36:26 +02:00
Yih-Dar
d7942d9d27
unpin uv (#31055)
[push-ci-image]

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2024-05-27 13:47:47 +02:00
Younes Belkada
658b849aeb
Quantization / TST: Fix remaining quantization tests (#31000)
* Fix remaining quant tests

* Update test_quanto.py
2024-05-24 14:35:59 +02:00
Yih-Dar
5855afd1f3
pin uv==0.1.45 (#31006)
* fix

* [push-ci-image]

* run with latest

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2024-05-24 12:00:50 +02:00
Raushan Turganbay
d583f1317b
Quantized KV Cache (#30483)
* clean-up

* Update src/transformers/cache_utils.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/cache_utils.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/cache_utils.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fixup

* Update tests/quantization/quanto_integration/test_quanto.py

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update src/transformers/generation/configuration_utils.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* more suggestions

* mapping if torch available

* run tests & add 'support_quantized' flag

* fix jamba test

* revert, will be fixed by another PR

* codestyle

* HQQ and versatile cache classes

* final update

* typo

* make tests happy

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
2024-05-23 17:25:20 +05:00
Arthur
8e8786e5f0
Update build ci image [push-ci-image] (#30933)
* [build-ci-image]

* correct branch

* push ci image

* [build-ci-image]

* update scheduled as well

* [push-ci-image]

* [build-ci-image]

* [push-ci-image]

* update deps

* [build-ci-image]

* [build-ci-image]

* [build-ci-image]

* [build-ci-image]

* [build-ci-image]

* [build-ci-image]

* oups [build-ci-image]

* [push-ci-image]

* fix

* [build-ci-image]

* [build-ci-image]

* [build-ci-image]

* [build-ci-image]

* [build-ci-image]

* [build-ci-image]

* [build-ci-image]

* updated

* [build-ci-image] update tag

* [build-ci-image]

* [build-ci-image]

* fix tag

* [build-ci-image]

* [build-ci-image]

* [build-ci-image]

* [build-ci-image]

* github name

* commit_title?

* fetch

* update

* it not found

* dev

* dev

* [push-ci-image]

* dev

* dev

* update

* dev

* dev print dev commit message dev

* dev ? dev

* dev

* dev

* dev

* dev

* [build-ci-image]

* [build-ci-image]

* [push-ci-image]

* revert unwanted

* revert convert as well

* no you are not important

* [build-ci-image]

* Update .circleci/config.yml

* pin tf probability dev
2024-05-22 10:52:59 +02:00
Younes Belkada
fce78fd0e9
FIX / Quantization: Fix Dockerfile build (#30890)
* Update Dockerfile

* Update docker/transformers-quantization-latest-gpu/Dockerfile
2024-05-20 10:08:26 +02:00
Younes Belkada
4e17e7dcf8
TST / Quantization: Reverting to torch==2.2.1 (#30866)
Reverting to 2.2.1
2024-05-16 17:30:02 +02:00
Yih-Dar
2d83324ecf
Use torch 2.3 for CI (#30837)
2.3

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2024-05-15 19:31:52 +02:00
Lysandre Debut
a42844955f
Loading GGUF files support (#30391)
* Adds support for loading GGUF files

Co-authored-by: Younes Belkada <younesbelkada@gmail.com>
Co-authored-by: 99991 <99991@users.noreply.github.com>

* add q2_k q3_k q5_k support from @99991

* fix tests

* Update doc

* Style

* Docs

* fix CI

* Update docs/source/en/gguf.md

* Update docs/source/en/gguf.md

* Compute merges

* change logic

* add comment for clarity

* add comment for clarity

* Update src/transformers/models/auto/tokenization_auto.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* change logic

* Update src/transformers/modeling_utils.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* change

* Apply suggestions from code review

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/modeling_gguf_pytorch_utils.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* put back comment

* add comment about mistral

* comments and added tests

* fix unconsistent type

* more

* fix tokenizer

* Update src/transformers/modeling_utils.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* address comments about tests and tokenizer + add added_tokens

* from_gguf -> gguf_file

* replace on docs too

---------

Co-authored-by: Younes Belkada <younesbelkada@gmail.com>
Co-authored-by: 99991 <99991@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-05-15 14:28:20 +02:00
fxmarty
37bba2a32d
CI: update to ROCm 6.0.2 and test MI300 (#30266)
* update to ROCm 6.0.2 and test MI300

* add callers for mi300

* update dockerfile

* fix trainer tests

* remove apex

* style

* Update tests/trainer/test_trainer_seq2seq.py

* Update tests/trainer/test_trainer_seq2seq.py

* Update tests/trainer/test_trainer_seq2seq.py

* Update tests/trainer/test_trainer_seq2seq.py

* update to torch 2.3

* add workflow dispatch target

* we may need branches: mi300-ci after all

* nit

* fix docker build

* nit

* add check runner

* remove docker-gpu

* fix issues

* fix

---------

Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2024-05-13 18:14:36 +02:00
Zach Mueller
5b7a225f25
Pin deepspeed (#30701)
pin ds
2024-05-07 13:45:24 -04:00
Arthur
307f632bb2
[CI update] Try to use dockers and no cache (#29202)
* change cis

* nits

* update

* minor updates

* [push-ci-image]

* nit [push-ci-image]

* nitsssss

* [build-ci-image]

* [push-ci-image]

* [push-ci-image]

* both

* [push-ci-image]

* this?

* [push-ci-image]

* pypi-kenlm needs g++

* [push-ci-image]

* nit

* more nits [push-ci-image]

* nits [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* add vision

* [push-ci-image]

* [push-ci-image]

* add new dummy file but will need to update them [push-ci-image]

* [push-ci-image]

* show package size as well

* [push-ci-image]

* potentially ignore failures

* workflow updates

* nits [push-ci-image]

* [push-ci-image]

* fix consistency

* clean nciida triton

* also show big packages [push-ci-image]

* nit

* update

* another one

* line escape?

* add accelerate [push-ci-image]

* updates [push-ci-image]

* nits to run tests, no push-ci

* try to parse skip reason to make sure nothing is skipped that should no be skippped

* nit?

* always show skipped reasons

* nits

* better parsing of the test outputs

* action="store_true",

* failure on failed

* show matched

* debug

* update short summary with skipped, failed and errors

* nits

* nits

* coolu pdates

* remove docbuilder

* fix

* always run checks

* oups

* nits

* don't error out on library printing

* non zero exi codes

* no warning

* nit

* WAT?

* format nit

* [push-ci-image]

* fail if fail is needed

* [push-ci-image]

* sound file for torch light?

* [push-ci-image]

* order is important [push-ci-image]

* [push-ci-image] reduce even further

* [push-ci-image]

* use pytest rich !

* yes [push-ci-image]

* oupsy

* bring back the full traceback, but pytest rich should help

* nit

* [push-ci-image]

* re run

* nit

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* empty push to trigger

* [push-ci-image]

* nit? [push-ci-image]

* empty

* try to install timm with no deps

* [push-ci-image]

* oups [push-ci-image]

* [push-ci-image]

* [push-ci-image] ?

* [push-ci-image] open ssh client for git checkout fast

* empty for torch light

* updates [push-ci-image]

* nit

* @v4 for checkout

* [push-ci-image]

* [push-ci-image]

* fix fetch tests with parallelism

* [push-ci-image]

* more parallelism

* nit

* more nits

* empty to re-trigger

* empty to re-trigger

* split by timing

* did not work with previous commit

* junit.xml

* no path?

* mmm this?

* junitxml format

* split by timing

* nit

* fix junit family

* now we can test if the xunit1 is compatible!

* this?

* fully list tests

* update

* update

* oups

* finally

* use classname

* remove working directory to make sure the path does not interfere

* okay no juni should have the correct path

* name split?

* sort by classname is what make most sense

* some testing

* naem

* oups

* test something fun

* autodetect

* 18?

* nit

* file size?

* uip

* 4 is best

* update to see versions

* better print

* [push-ci-image]

* [push-ci-image]

* please install the correct keras version

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* uv is fucking me up

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* nits

* [push-ci-image]

* [push-ci-image]

* install issues an pins

* tapas as well

* nits

* more paralellism

* short tb

* soundfile

* soundfile

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* oups

* [push-ci-image]

* fix some things

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* use torch-light for hub

* small git lfs for hub job

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* fix tf tapas

* [push-ci-image]

* nits

* [push-ci-image]

* don't update the test

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* no use them

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* update tf proba

* [push-ci-image]

* [push-ci-image]

* woops

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* test with built dockers

* [push-ci-image]

* skip annoying tests

* revert fix copy

* update test values

* update

* last skip and fixup

* nit

* ALL GOOOD

* quality

* Update tests/models/layoutlmv2/test_image_processing_layoutlmv2.py

* Update docker/quality.dockerfile

Co-authored-by: Lysandre Debut <hi@lysand.re>

* Update src/transformers/models/tapas/modeling_tf_tapas.py

Co-authored-by: Lysandre Debut <hi@lysand.re>

* Apply suggestions from code review

Co-authored-by: Lysandre Debut <hi@lysand.re>

* use torch-speed

* updates

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* [push-ci-image]

* fuck ken-lm [push-ci-image]

* [push-ci-image]

* [push-ci-image]

---------

Co-authored-by: Lysandre Debut <hi@lysand.re>
2024-05-06 10:10:32 +02:00
mobicham
59952994c4
Add HQQ quantization support (#29637)
* update HQQ transformers integration

* push import_utils.py

* add force_hooks check in modeling_utils.py

* fix | with Optional

* force bias as param

* check bias is Tensor

* force forward for multi-gpu

* review fixes pass

* remove torch grad()

* if any key in linear_tags fix

* add cpu/disk check

* isinstance return

* add multigpu test + refactor tests

* clean hqq_utils imports in hqq.py

* clean hqq_utils imports in quantizer_hqq.py

* delete hqq_utils.py

* Delete src/transformers/utils/hqq_utils.py

* ruff init

* remove torch.float16 from __init__ in test

* refactor test

* isinstance -> type in quantizer_hqq.py

* cpu/disk device_map check in quantizer_hqq.py

* remove type(module) nn.linear check in quantizer_hqq.py

* add BaseQuantizeConfig import inside HqqConfig init

* remove hqq import in hqq.py

* remove accelerate import from test_hqq.py

* quant config.py doc update

* add hqqconfig to main_classes doc

* make style

* __init__ fix

* ruff __init__

* skip_modules list

* hqqconfig format fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* hqqconfig doc fix

* test_hqq.py remove mistral comment

* remove self.using_multi_gpu is False

* torch_dtype default val set and logger.info

* hqq.py isinstance fix

* remove torch=None

* torch_device test_hqq

* rename test_hqq

* MODEL_ID in test_hqq

* quantizer_hqq setattr fix

* quantizer_hqq typo fix

* imports quantizer_hqq.py

* isinstance quantizer_hqq

* hqq_layer.bias reformat quantizer_hqq

* Step 2 as comment in quantizer_hqq

* prepare_for_hqq_linear() comment

* keep_in_fp32_modules fix

* HqqHfQuantizer reformat

* quantization.md hqqconfig

* quantization.md model example reformat

* quantization.md # space

* quantization.md space   })

* quantization.md space   })

* quantization_config fix doc

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* axis value check in quantization_config

* format

* dynamic config explanation

* quant config method in quantization.md

* remove shard-level progress

* .cuda fix modeling_utils

* test_hqq fixes

* make fix-copies

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-05-02 17:51:49 +01:00
Younes Belkada
d179b9dc78
FIX: re-add bnb on docker image (#30427)
Update Dockerfile
2024-04-23 15:32:54 +02:00
zhong zhuang
b4c18a830a
[FEAT]: EETQ quantizer support (#30262)
* [FEAT]: EETQ quantizer support

* Update quantization.md

* Update docs/source/en/main_classes/quantization.md

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update docs/source/en/quantization.md

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update docs/source/en/quantization.md

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/integrations/__init__.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/integrations/__init__.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/integrations/eetq.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/integrations/eetq.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/integrations/eetq.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update tests/quantization/eetq_integration/test_eetq.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/quantizers/auto.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/quantizers/auto.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/quantizers/auto.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/quantizers/quantizer_eetq.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update tests/quantization/eetq_integration/test_eetq.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/quantizers/quantizer_eetq.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update tests/quantization/eetq_integration/test_eetq.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update tests/quantization/eetq_integration/test_eetq.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* [FEAT]: EETQ quantizer support

* [FEAT]: EETQ quantizer support

* remove whitespaces

* update quantization.md

* style

* Update docs/source/en/quantization.md

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* add copyright

* Update quantization.md

* Update docs/source/en/quantization.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/quantization.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Address the comments by amyeroberts

* style

---------

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: Marc Sun <marc@huggingface.co>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2024-04-22 20:38:58 +01:00
Yih-Dar
cbc2cc187a
More fixes for doctest (#30265)
* fix

* update

* update

* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2024-04-16 11:58:55 +02:00
Yih-Dar
4f7a9f9c5c
Fix natten install in docker (#30161)
* fix dinat in docker

* update

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2024-04-10 17:45:49 +02:00
Marc Sun
58a939c6b7
Fix quantization tests (#29914)
* revert back to torch 2.1.1

* run test

* switch to torch 2.2.1

* udapte dockerfile

* fix awq tests

* fix test

* run quanto tests

* update tests

* split quantization tests

* fix

* fix again

* final fix

* fix report artifact

* build docker again

* Revert "build docker again"

This reverts commit 399a5f9d93.

* debug

* revert

* style

* new notification system

* testing notfication

* rebuild docker

* fix_prev_ci_results

* typo

* remove warning

* fix typo

* fix artifact name

* debug

* issue fixed

* debug again

* fix

* fix time

* test notif with faling test

* typo

* issues again

* final fix ?

* run all quantization tests again

* remove name to clear space

* revert modfiication done on workflow

* fix

* build docker

* build only quant docker

* fix quantization ci

* fix

* fix report

* better quantization_matrix

* add print

* revert to the basic one
2024-04-09 17:10:29 +02:00
Ilyas Moutawwakil
07d79520ef
Disable AMD memory benchmarks (#29871)
* remove py3nvml to skip amd memory benchmarks

* uninstall pynvml from docker images
2024-03-26 14:43:12 +01:00
Yih-Dar
2ddceef9a2
Fix docker image build for Latest PyTorch + TensorFlow [dev] (#29764)
* update

* update

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2024-03-21 13:14:29 +01:00
Marc Sun
28de2f4de3
[Quantization] Quanto quantizer (#29023)
* start integration

* fix

* add and debug tests

* update tests

* make pytorch serialization works

* compatible with device_map and offload

* fix tests

* make style

* add ref

* guard against safetensors

* add float8 and style

* fix is_serializable

* Fix shard_checkpoint compatibility with quanto

* more tests

* docs

* adjust memory

* better

* style

* pass tests

* Update src/transformers/modeling_utils.py

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* add is_safe_serialization instead

* Update src/transformers/quantizers/quantizer_quanto.py

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* add QbitsTensor tests

* fix tests

* simplify activation list

* Update docs/source/en/quantization.md

Co-authored-by: David Corvoysier <david.corvoysier@gmail.com>

* better comment

* Update tests/quantization/quanto_integration/test_quanto.py

Co-authored-by: David Corvoysier <david.corvoysier@gmail.com>

* Update tests/quantization/quanto_integration/test_quanto.py

Co-authored-by: David Corvoysier <david.corvoysier@gmail.com>

* find and fix edge case

* Update docs/source/en/quantization.md

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* pass weights_only_kwarg instead

* fix shard_checkpoint loading

* simplify update_missing_keys

* Update tests/quantization/quanto_integration/test_quanto.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* recursion to get all tensors

* block serialization

* skip serialization tests

* fix

* change by cuda:0 for now

* fix regression

* update device_map

* fix doc

* add noteboon

* update torch_dtype

* update doc

* typo

* typo

* remove comm

---------

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: David Corvoysier <david.corvoysier@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Younes Belkada <younesbelkada@gmail.com>
2024-03-15 11:51:29 -04:00
Ilyas Moutawwakil
4fc708f98c
Exllama kernels support for AWQ models (#28634)
* added exllama kernels support for awq models

* doc

* style

* Update src/transformers/modeling_utils.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* refactor

* moved exllama post init to after device dispatching

* bump autoawq version

* added exllama test

* style

* configurable exllama kernels

* copy exllama_config from gptq

* moved exllama version check to post init

* moved to quantization dockerfile

---------

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
2024-03-05 03:22:48 +01:00
Marc Sun
f54d82cace
[CI] Quantization workflow (#29046)
* [CI] Quantization workflow

* build dockerfile

* fix dockerfile

* update self-cheduled.yml

* test build dockerfile on push

* fix torch install

* udapte to python 3.10

* update aqlm version

* uncomment build dockerfile

* tests if the scheduler works

* fix docker

* do not trigger on psuh again

* add additional runs

* test again

* all good

* style

* Update .github/workflows/self-scheduled.yml

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* test build dockerfile with torch 2.2.0

* fix extra

* clean

* revert changes

* Revert "revert changes"

This reverts commit 4cb52b8822.

* revert correct change

---------

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
2024-02-28 10:09:25 -05:00
Yih-Dar
5c341d4555
Use torch 2.2 for deepspeed CI (#29246)
update

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2024-02-27 17:51:37 +08:00
Yih-Dar
c8d98405a8
Use torch 2.2 for daily CI (model tests) (#29208)
* Use torch 2.2 for daily CI (model tests)

* update

* update

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2024-02-23 21:37:08 +08:00
Andrei Panferov
1ecf5f7c98
AQLM quantizer support (#28928)
* aqlm init

* calibration and dtypes

* docs

* Readme update

* is_aqlm_available

* Simpler link in docs

* Test TODO real reference

* init _import_structure fix

* AqlmConfig autodoc

* integration aqlm

* integrations in tests

* docstring fix

* legacy typing

* Less typings

* More kernels information

* Performance -> Accuracy

* correct tests

* remoced multi-gpu test

* Update docs/source/en/quantization.md

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update src/transformers/utils/quantization_config.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Brought back multi-gpu tests

* Update src/transformers/integrations/aqlm.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update tests/quantization/aqlm_integration/test_aqlm.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

---------

Co-authored-by: Andrei Panferov <blacksamorez@yandex-team.ru>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
2024-02-14 09:25:41 +01:00
Yih-Dar
5fd5ef7624
Fix docker file (#28452)
fix docker file

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2024-01-11 15:34:05 +01:00
Yih-Dar
d019acb858
Use python 3.10 for docbuild (#28399)
update

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2024-01-11 14:39:49 +01:00
Joao Gante
ee2482b6f8
CI: limit natten version (#28432) 2024-01-10 12:39:05 +00:00
Patrick von Platen
8604dd308d
[SDPA] Make sure attn mask creation is always done on CPU (#28400)
* [SDPA] Make sure attn mask creation is always done on CPU

* Update docker to 2.1.1

* revert test change
2024-01-09 11:05:19 +01:00
Younes Belkada
fa21ead73d
[Awq] Enable the possibility to skip quantization for some target modules (#27950)
* v1

* add docstring

* add tests

* add awq 0.1.8

* oops

* fix test
2023-12-25 11:06:56 +01:00
Abolfazl Shahbazi
b134f6857e
Remove deprecated CPU dockerfiles (#28149)
Signed-off-by: Abolfazl Shahbazi <abolfazl.shahbazi@intel.com>
2023-12-20 05:51:35 +01:00
Ella Charlaix
39acfe84ba
Add deepspeed test to amd scheduled CI (#27633)
* add deepspeed scheduled test for amd

* fix image

* add dockerfile

* add comment

* enable tests

* trigger

* remove trigger for this branch

* trigger

* change runner env to trigger the docker build image test

* use new docker image

* remove test suffix from docker image tag

* replace test docker image with original image

* push new image

* Trigger

* add back amd tests

* fix typo

* add amd tests back

* fix

* comment until docker image build scheduled test fix

* remove deprecated deepspeed build option

* upgrade torch

* update docker & make tests pass

* Update docker/transformers-pytorch-deepspeed-amd-gpu/Dockerfile

* fix

* tmp disable test

* precompile deepspeed to avoid timeout during tests

* fix comment

* trigger deepspeed tests with new image

* comment tests

* trigger

* add sklearn dependency to fix slow tests

* enable back other tests

* final update

---------

Co-authored-by: Felix Marty <felix@hf.co>
Co-authored-by: Félix Marty <9808326+fxmarty@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2023-12-11 16:33:36 +01:00
Zach Mueller
acd653164b
Update CUDA versions for DeepSpeed (#27853)
* Update CUDA versions

* For testing

* Allow for workflow dispatch

* Use newer image

* Revert workflow

* Revert workflow

* Push

* Other docker image
2023-12-05 16:15:21 -05:00
Younes Belkada
fdb85be40f
Faster generation using AWQ + Fused modules (#27411)
* v1 fusing modules

* add fused mlp support

* up

* fix CI

* block save_pretrained

* fixup

* small fix

* add new condition

* add v1 docs

* add some comments

* style

* fix nit

* adapt from suggestion

* add check

* change arg names

* change variables name

* Update src/transformers/integrations/awq.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* style

* split up into 3 different private methods

* more conditions

* more checks

* add fused tests for custom models

* fix

* fix tests

* final update docs

* final fixes

* fix importlib metadata

* Update src/transformers/utils/quantization_config.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* change it to `do_fuse`

* nit

* Update src/transformers/utils/quantization_config.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/utils/quantization_config.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/utils/quantization_config.py

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* few fixes

* revert

* fix test

* fix copies

* raise error if model is not quantized

* add test

* use quantization_config.config when fusing

* Update src/transformers/modeling_utils.py

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
2023-12-05 12:14:45 +01:00
fxmarty
f93c1e9ece
Add RoCm scheduled CI & upgrade RoCm CI to PyTorch 2.1 (#26940)
* add scheduled ci on amdgpu

* fix likely typo

* more tests, avoid parallelism

* precise comment

* fix report channel

* trigger docker build on this branch

* fix

* fix

* run rocm scheduled ci

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2023-11-21 14:55:13 +01:00