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* 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

* Adapt repository creation to latest hf_hub

* Update all examples

* Fix other tests, add Flax examples

* Address review comments

* Fix for Past CI

* make style

* clean up

* unindent 2 blocks
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

fix typo output not ouput

typo was causing an error on pytest collection

* Repurpose torchdynamo training args towards torch._dynamo

* Add doc

* Add AnyPrecisionAdamW optimizer

* Add optim_args argument to TrainingArgs

* Add tests for AnyPrecisionOptimizer

* Change AnyPrecisionAdam default params to float32

* Move default_anyprecision_kwargs in trainer test

* Rename AnyPrecisionAdamW

* token cls data_collator pads labels column

* remove walrus operator for code quality

* remove redundat space

* remove comment that was fixed

* PR comments fix
Co-authored-by: Alexander Markov <amarkov.me@gmail.com>

* Enable torchdynamo tests

* make style
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* enable fx2trt

* Update perf_train_gpu_one.mdx

* Update perf_train_gpu_one.mdx

* add lib check

* update

* format

* update

* fix import check

* fix isort

* improve doc

* refactor ctx manager

* fix isort

* black format

* isort fix

* fix format

* update args

* update black

* cleanups

* Update perf_train_gpu_one.mdx

* code refactor

* code refactor to init

* remove redundancy

* isort

* replace self.args with args
Co-authored-by: Stas Bekman <stas@stason.org>

* enhance ipex import

* refine codes

* refine style

* add link

* style
Co-authored-by: Stas Bekman <stas@stason.org>

* Make Trainer.predict call on_evaluate (#17952)

* Add on_predict

* Small fix

* Small and different fix

* Add tests

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Prepare CI for v0.8.0

* pin hfh (revert before merge)

* Revert "pin hfh (revert before merge)"

This reverts commit a0103140e1c77b810ffcb735192968bc03be3e1f.

* Test rc3

* Test latest rc

* Unpin to the RC
Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com>

* deprecate is_torch_bf16_available

* address suggestions

* add jit mode option and model wrap

* Update src/transformers/training_args.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/training_args.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* refine code

* Update src/transformers/trainer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/trainer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* add ut and refine code

* code refine

* refine code

* add inference doc

* Update src/transformers/trainer.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Update src/transformers/trainer.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* add cpu inference performance doc

* Update perf_infer_cpu.mdx

* Update perf_infer_cpu.mdx

* Update performance.mdx

* Update _toctree.yml

* refine jit func naming

* Update _toctree.yml

* Delete perf_infer_gpu_one.mdx

* Update perf_infer_cpu.mdx

* Update docs/source/en/perf_infer_cpu.mdx
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* add none check before jit

* Update docs/source/en/perf_infer_cpu.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update docs/source/en/perf_infer_cpu.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas@stason.org>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

Extend Transformers Trainer Class to Enable CPU AMP and Integrate Intel Extension for PyTorch (#17138)

* init PR

* fix import ipex

* minor fix on bf16

* refine optimizer

* refine args notes

* refine code

* refine ipex optimize args

* refine half_precision_backend

* black format

* isort format

* isort format files

* flake8 format

* doc builder format

* refine codes

* remove jit and optim bits

* black preview format

* Update src/transformers/trainer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* refine code

* refine notes

* Update src/transformers/trainer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/trainer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* code refine

* add ipex ut

* add performance cpu doc

* link to the cpu doc from main perf doc

* install ipex into CI's docker

* Update perf_train_cpu.mdx

* Update docs/source/en/perf_train_cpu.mdx
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Update perf_train_cpu.mdx

* Update perf_train_cpu.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas@stason.org>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Support compilation via Torchdynamo, AOT Autograd, NVFuser

* Address comments

* Lint

* Stas comments - missing quality test

* Lintere

* Quality test

* Doc lint

* Reset CUDA peak mem

* Add CustomTrainer

* require a single gpu
Co-authored-by: Stas Bekman <stas@stason.org>

* [tests] fix copy-n-paste error

* fix

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Ensure tensors are at least 1d for pad and concat

* Compatibility

* Fix

* Fix

* Add test

* Retrigger CI

* Consistency with master

* Retrigger CI

* Remove unneeded columns for IterableDataset

* Add test

* Update trainer tests

* Edit docstring

* Lint

* Apply feedback

* Apply feedback

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

- Adds auto_batch_size finder 
- Moves training loop to an inner training loop

* Fix RNG reload in resume training from epoch checkpoint

* Fix test

* Make Trainer compatible with sharded checkpoints

* Add doc

* Add initial BNB integration

* fixup! Add initial BNB integration

* Add bnb test decorator

* Update Adamw8bit option name

* Use the full bnb package name

* Overide bnb for all embedding layers

* Fix package name

* Formatting

* Remove unnecessary import

* Update src/transformers/trainer.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Rename AdamwBNB optimizer option

* Add training test checking that bnb memory utilization is lower

* fix merge

* fix merge; fix + extend new test

* cleanup

* expand bnb

* move all require_* candidates to testing_utils.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas@stason.org>

* Fix issue avoid-misusing-assert-true found at https://codereview.doctor



* fix tests

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

* Avoid accessing .dataset of a dataloader

* style

* fix

* cleaning up, reverting some misunderstandings

* black

* add train_dataset argument to get_train_dataloader, and fix other instances of length checks

* flake8

* address comments

* fix bug

* cleanup

* add test

* Update tests/trainer/test_trainer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* under torch

* merge

* stylistic suggestion
Co-authored-by: Sander Land <sander@chatdesk.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Split file_utils in several submodules

* Fixes

* Add back more objects

* More fixes

* Who exactly decided to import that from there?

* Second suggestion to code with code review

* Revert wront move

* Fix imports

* Adapt all imports

* Adapt all imports everywhere

* Revert this import, will fix in a separate commit

* Seed get_train_sampler's generator with arg seed to improve reproducibility

and make the world_size<=1 code path more similar to the others

* move test file into trainer test explicitly

* dumb typo

* make style lint happy

* per discussion, switch to data_seed

* 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>

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