riaz.somc/transformers
1
0
Fork 0
mirror of https://github.com/huggingface/transformers.git synced 2025-07-19 20:48:22 +06:00
Code Issues Actions 18 Packages Projects Releases Wiki Activity
15,499 Commits 876 Branches 227 Tags 2 GiB
81642d2b51
Commit Graph

111 Commits

Author SHA1 Message Date
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
Yih-Dar
3b59621310
Install python-Levenshtein for nougat in CI image (#27465) 
fix

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-11-13 16:38:13 +01:00
Younes Belkada
26d8d5f211
Fix autoawq docker image (#27339) 
* Update Dockerfile

* Update docker/transformers-all-latest-gpu/Dockerfile
 2023-11-07 11:21:04 +01:00
Yih-Dar
d788d37d24
Fix daily CI image build (#27307) 
fix

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-11-06 11:27:22 +01:00
Younes Belkada
ae093eef01
[core / Quantization ] AWQ integration (#27045) 
* working v1

* oops

* Update src/transformers/modeling_utils.py

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

* fixup

* oops

* push

* more changes

* add docs

* some fixes

* fix copies

* add v1 doc

* added installation guide

* relax constraints

* revert

* attempt llm-awq

* oops

* oops

* fixup

* raise error when incorrect cuda compute capability

* nit

* add instructions for llm-awq

* fixup

* fix copies

* fixup and docs

* change

* few changes + add demo

* add v1 tests

* add autoawq in dockerfile

* finalize

* Update tests/quantization/autoawq/test_awq.py

* fix test

* fix

* fix issue

* Update src/transformers/integrations/awq.py

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

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

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

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

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

* Update src/transformers/integrations/awq.py

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

* Update src/transformers/integrations/awq.py

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

* add link to example script

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

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

* add more content

* add more details

* add link to quantization docs

* camel case + change backend class name

* change to string

* fixup

* raise errors if libs not installed

* change to `bits` and `group_size`

* nit

* nit

* Apply suggestions from code review

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

* disable training

* address some comments and fix nits

* fix

* final nits and fix tests

* adapt to our new runners

* make fix-copies

* Update src/transformers/utils/quantization_config.py

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

* Update src/transformers/utils/quantization_config.py

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

* Update src/transformers/integrations/awq.py

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

* Update src/transformers/integrations/awq.py

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

* move to top

* add conversion test

* final nit

* add more elaborated test

---------

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
 2023-11-01 09:06:31 +01:00
Yih-Dar
b219ae6bd4
Update docker files to use torch==2.1.0 (#26735) 
Update docker files to use torch 2.1

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-10-11 16:23:36 +02:00
Yih-Dar
75a33d60f2
Don't install pytorch-quantization in Doc Builder docker file (#26622) 
Fix

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-10-05 16:57:50 +02:00
Yih-Dar
9d20601259
Fix transformers-pytorch-gpu docker build (#26615) 
Fix

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-10-05 15:33:35 +02:00
Funtowicz Morgan
2d71307dc0
Integrate AMD GPU in CI/CD environment (#26007) 
* Add a Dockerfile for PyTorch + ROCm based on official AMD released artifact

* Add a new artifact single-amdgpu testing on main

* Attempt to test the workflow without merging.

* Changed BERT to check if things are triggered

* Meet the dependencies graph on workflow

* Revert BERT changes

* Add check_runners_amdgpu to correctly mount and check availability

* Rename setup to setup_gpu for CUDA and add setup_amdgpu for AMD

* Fix all the needs.setup -> needs.setup_[gpu|amdgpu] dependencies

* Fix setup dependency graph to use check_runner_amdgpu

* Let's do the runner status check only on AMDGPU target

* Update the Dockerfile.amd to put ourselves in / rather than /var/lib

* Restore the whole setup for CUDA too.

* Let's redisable them

* Change BERT to trigger tests

* Restore BERT

* Add torchaudio with rocm 5.6 to AMD Dockerfile (#26050)

fix dockerfile

Co-authored-by: Felix Marty <felix@hf.co>

* Place AMD GPU tests in a separate workflow (correct branch) (#26105)

AMDGPU CI lives in an other workflow

* Fix invalid job name is dependencies.

* Remove tests multi-amdgpu for now.

* Use single-amdgpu

* Use --net=host for now.

* Remote host networking.

* Removed duplicated check_runners_amdgpu step

* Let's tag machine-types with mi210 for now.

* Machine type should be only mi210

* Remove unnecessary push.branches item

* Apply review suggestions moving from `x-amdgpu` to `x-gpu` introducing `amd-gpu` and `miXXX` labels.

* Remove amdgpu from step names.

* finalize

* delete

---------

Co-authored-by: fxmarty <9808326+fxmarty@users.noreply.github.com>
Co-authored-by: Felix Marty <felix@hf.co>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-09-20 14:48:49 +02:00
Younes Belkada
584eeb5387
[AutoGPTQ] Add correct installation of GPTQ library + fix slow tests (#25713) 
* add correct installation of GPTQ library

* update tests values
 2023-08-24 14:57:16 +02:00
Younes Belkada
faed2ca46f
[PEFT] Peft integration alternative design (#25077) 
* a draft version

* v2 integration

* fix

* make it more generic and works for IA3

* add set adapter and multiple adapters support

* fixup

* adapt a bit

* oops

* oops

* oops

* adapt more

* fix

* add more refactor

* now works with model class

* change it to instance method as it causes issues with `jit`.

* add CR

* change method name

* add `add_adapter` method

* clean up

* Update src/transformers/adapters/peft_mixin.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* add moe utils

* fixup

* Update src/transformers/adapters/peft_mixin.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* adapt

* oops

* fixup

* add is_peft_available

* remove `requires_backend`

* trainer compatibility

* fixup + docstring

* more details

* trigger CI

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/modeling_utils.py

* fixup + is_main_process

* added `save_peft_format` in save_pretrained

* up

* fix nits here and there

* nits here and there.

* docs

* revert `encoding="utf-8"`

* comment

* added slow tests before the PEFT release.

* fixup and nits

* let's be on the safe zone

* added more comments

* v1 docs

* add remaining docs

* Apply suggestions from code review

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* move to `lib_integrations`

* fixup

* this time fixup

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* address final comments

* refactor to use `token`

* add PEFT to DockerFile for slow tests.

* added pipeline support.

---------

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
 2023-08-18 19:08:03 +02:00
Younes Belkada
d4c0aa1443
[Tests] Fix failing 8bit test (#25564) 
* fix failing 8bit test

* trigger CI
 2023-08-17 17:34:25 +02:00
Marc Sun
55db70c63d
GPTQ integration (#25062) 
* GTPQ integration

* Add tests for gptq

* support for more quantization model

* fix style

* typo

* fix method

* Update src/transformers/modeling_utils.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* add dataclass and fix quantization_method

* fix doc

* Update tests/quantization/gptq/test_gptq.py

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

* Apply suggestions from code review

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

* modify dataclass

* add gtpqconfig import

* fix typo

* fix tests

* remove dataset as req arg

* remove tokenizer import

* add offload cpu quantization test

* fix check dataset

* modify dockerfile

* protect trainer

* style

* test for config

* add more log

* overwrite torch_dtype

* draft doc

* modify quantization_config docstring

* fix class name in docstring

* Apply suggestions from code review

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

* more warning

* fix 8bit kwargs tests

* peft compatibility

* remove var

* fix is_gptq_quantized

* remove is_gptq_quantized

* fix wrap

* Update src/transformers/modeling_utils.py

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

* add exllama

* skip test

* overwrite float16

* style

* fix skip test

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix docsting formatting

* add doc

* better test

---------

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
 2023-08-10 16:06:29 -04:00
Yih-Dar
b0f23036f1
Update TF pin in docker image (#25343) 
fix

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-08-07 12:32:34 +02:00
Yih-Dar
0fd8d2aa2c
Fix docker image build failure (#25214) 
fix

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-07-31 20:13:15 +02:00
Yih-Dar
906afa1d5c
Revert "Unpin protobuf in docker file (for daily CI)" (#24800) 
Revert "Unpin protobuf in docker file (for daily CI) (#24761)"

This reverts commit 45025d92f8.
 2023-07-13 04:19:45 +02:00
Yih-Dar
45025d92f8
Unpin protobuf in docker file (for daily CI) (#24761) 
fix

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-07-11 23:55:55 +02:00
ydshieh
66ded238cd fix pydantic install command 2023-07-01 09:29:21 +02:00
Serge Matveenko
d51aa48a76
Limit Pydantic to V1 in dependencies (#24596) 
* Limit Pydantic to V1 in dependencies

Pydantic is about to release V2 release which will break a lot of things. This change prevents `transformers` to be used with Pydantic V2 to avoid breaking things.

* more

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-07-01 00:04:03 +02:00
Yih-Dar
17e3e7d686
pin apex to a speicifc commit (for DeepSpeed CI docker image) (#24351) 
* fix

* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-06-19 12:48:53 +02:00
Yih-Dar
896a58de15
Byebye pytorch 1.9 (#24080) 
byebye

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-06-16 16:38:23 +02:00
Yih-Dar
1f2c00d671
Fix DeepSpeed stuff in the nightly CI (#23478) 
fix

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-05-19 20:31:55 +02:00
Yih-Dar
db4d765249
Fix transformers' DeepSpeed CI job (#23463) 
* fix

* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-05-19 17:50:06 +02:00
Yih-Dar
22a0769933
Update 3 docker files to use cu118 (#23406) 
* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-05-17 14:26:50 +02:00
Yih-Dar
cf11493dce
Use cu118 with cudnn >= 8.6 in docker file (#23339) 
* fix

* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-05-12 21:58:15 +02:00
Yih-Dar
8c8744a94a
Fix docker image (caused by tensorflow_text) (#23321) 
fix

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-05-12 13:37:37 +02:00
Yih-Dar
ba71d9e94c
unpin tf prob (#23293) 
* unpin tf prob

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-05-11 21:28:08 +02:00
Yih-Dar
5f26a23d03
pin tensorflow-probability in docker files (#23260) 
* pong TF prob

* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-05-10 16:21:09 +02:00
fxmarty
3042c63a95
Add methods to PreTrainedModel to use PyTorch's BetterTransformer (#21259) 
* fix mess

* better documentation

* typo

* fix doc

* update

* add test

* fix test

* more tests

* Update src/transformers/modeling_utils.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* move to utils

* Apply suggestions from code review

Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>

* nit

---------

Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Michael Benayoun <mickbenayoun@gmail.com>
 2023-04-27 11:03:42 +02:00
Yih-Dar
073baf7f22
Install accelerete@main in PyTorch Past CI jobs (#22963) 
fix

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-04-24 21:19:06 +02:00
Yih-Dar
4603fe9b1f
use accelerate@main in CI (#22859) 
fix

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-04-19 14:58:53 +02:00
Yih-Dar
656d41ab4c
Remove DS_BUILD_AIO=1 (#22741) 
fix

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-04-13 18:08:22 +02:00
Yih-Dar
0fe6c6bdca
(Re-)Enable Nightly + Past CI (#22393) 
* Enable Nightly + Past CI

* put schedule

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
 2023-03-30 21:06:35 +02:00