GitLab

* patch with accelerate xpu

* patch with accelerate xpu

* formatting

* fix tests

* revert ruff unrelated fixes

* revert ruff unrelated fixes

* revert ruff unrelated fixes

* fix test

* review fixes

* review fixes

* black fixed

* review commits

* review commits

* style fix

* use pytorch_utils

* revert markuplm test

* Revert frozen training arguments

* TODO

* Make training args fully immutable

* Working tests, PyTorch

* In test_trainer

* during testing

* Use proper dataclass way

* Fix test

* Another one

* Fix tf

* Lingering slow

* Exception

* Clean

* Dispatch batches

* Copy items

* Add Ascend NPU accelerator support

* fix style warining

* Use accelerate for device management

* Add accelerate to setup
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Result of black 23.1

* Update target to Python 3.7

* Switch flake8 to ruff

* Configure isort

* Configure isort

* Apply isort with line limit

* Put the right black version

* adapt black in check copies

* Fix copies

* Add XLA torchrun support

* Clarify that currently DDP doesn't work with torch.distributed XLA backend yet

* Enable DDP with torchrun and XLA (now available in PT-XLA 1.13)

* Add check for AWS Neuron availability and AWS Neuron specific compiler flag

* Change the new test's name to TestTrainerDistributedNeuronCore

* Remove "assert" and replace raised exception

* Remove compiler flag as it is optional. If needed, will be another PR.

* Use TORCHELASTIC_RUN_ID to determine whether torchrun is used

* Per-folder tests reorganization
Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Stas Bekman <stas@stason.org>

* Update torch.utils.data namespaces to the latest.

* Format

* Update Dataloader.

* Style

* ensure concurrent pytest workers use a unique port for torch.distributed.launch

* reword

* First third

* Styling and fix mistake

* Quality

* All the rest

* Treat %s and %d

* typo

* Missing )

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Fix distributed evaluation

* Use logger

* Add copyright everywhere missing

* Style

* s|multiple_gpu|multi_gpu|g; s|multigpu|multi_gpu|g'

* doc

* move the helper code into testing_utils

* port test_trainer_distributed to work with pytest

* improve docs

* simplify notes

* doc

* doc

* style

* doc

* further improvements

* torch might not be available

* real fix

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add eval_accumulation_step and clean distributed eval

* Add TPU test

* Add TPU stuff

* Fix arg name

* Fix Seq2SeqTrainer

* Fix total_size

* Update src/transformers/trainer_pt_utils.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Doc and add test to TPU

* Add unit test

* Adapt name
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Add tests to Trainer

* Test if removing long breaks everything

* Remove ugly hack

* Fix distributed test

* Use float for number of epochs

[Tokenization] Fix #5181 - make #5155 more explicit - move back the default logging level in tests to WARNING (#5252)

* fix-5181

Padding to max sequence length while truncation to another length was wrong on slow tokenizers

* clean up and fix #5155

* fix XLM test

* Fix tests for Transfo-XL

* logging only above WARNING in tests

* switch slow tokenizers tests in @slow

* fix Marian truncation tokenization test

* style and quality

* make the test a lot faster by limiting the sequence length used in tests

* Make DataCollator a callable

* Update src/transformers/data/data_collator.py
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Distributed eval: SequentialDistributedSampler + gather all results

* For consistency only write to disk from world_master

Close https://github.com/huggingface/transformers/issues/4272

* Working distributed eval

* Hook into scripts

* Fix #3721 again

* TPU.mesh_reduce: stay in tensor space

Thanks @jysohn23

* Just a small comment

* whitespace

* torch.hub: pip install packaging

* Add test scenarii