GitLab

* change logger.warn to logger.warning

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

* Change the way tracing happens, enabling dynamic axes out of the box

* Update the tests and modeling xlnet

* Add the non recoding of leaf modules to avoid recording more values for the methods to record than what will be seen at tracing time (which would otherwise desynchronize the recorded values and the values that need to be given to the proxies during tracing, causing errors).

* Comments and making tracing work for gpt-j and xlnet

* Refactore things related to num_choices (and batch_size, sequence_length)

* Update fx to work on PyTorch 1.10

* Postpone autowrap_function feature usage for later

* Add copyrights

* Remove unnecessary file

* Fix issue with add_new_model_like

* Apply suggestions

* [torch_int_div] Correct true division in generation

* up

* up

* Allow dynamic modules to use relative imports

* Work for configs

* Fix last merge conflict

* Save code of registered custom objects

* Map strings to strings

* Fix test

* Add tokenizer

* Rework tests

* Tests

* Ignore fixtures py files for tests

* Tokenizer test + fix collection

* With full path

* Rework integration

* Fix typo

* Remove changes in conftest

* Test for tokenizers

* Add documentation

* Update docs/source/custom_models.mdx
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Add file structure and file content

* Add more doc

* Style

* Update docs/source/custom_models.mdx
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Address review comments
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Refine errors for pretrained objects

* PoC to avoid using get_list_of_files

* Adapt tests to use new errors

* Quality + Fix PoC

* Revert "PoC to avoid using get_list_of_files"

This reverts commit cb93b7cae8504ef837c2a7663cb7955e714f323e.

* Revert "Quality + Fix PoC"

This reverts commit 3ba6d0d4ca546708b31d355baa9e68ba9736508f.

* Fix doc

* Revert PoC

* Add feature extractors

* More tests and PT model

* Adapt error message

* Feature extractor tests

* TF model

* Flax model and test

* Merge flax auto tests

* Add tokenization

* Fix test

* Fix deprecation warnings for int div
Co-authored-by: mgoldey <matthew.goldey@gmail.com>

* Fix import

* ensure that tensor output is python scalar

* make backward compatible

* make code more readable

* adapt test functions
Co-authored-by: mgoldey <matthew.goldey@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Fix bad examples

* Add black formatting to style_doc

* Use first nonempty line

* Put it at the right place

* Don't add spaces to empty lines

* Better templates

* Deal with triple quotes in docstrings

* Result of style_doc

* Enable mdx treatment and fix code examples in MDXs

* Result of doc styler on doc source files

* Last fixes

* Break copy from

* redo sans examples

* style

* [doc] consistent True/False/None default format

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

* New doc styler

* Fix issue with args at the start

* Code sample fixes

* Style code examples in MDX

* Fix more patterns

* Typo

* Typo

* More patterns

* Do without black for now

* Get more info in error

* Docstring style

* Re-enable check

* Quality

* Fix add_end_docstring decorator

* Fix docstring

* Convert docstrings of all configurations and tokenizers

* Processors and fixes

* Last modeling files and fixes to models

* Pipeline modules

* Utils files

* Data submodule

* All the other files

* Style

* Missing examples

* Style again

* Fix copies

* Say bye bye to rst docstrings forever

* Add a main_input_name attribute to all models

* Fix tests

* Wtf Vs Code?

* Update src/transformers/models/imagegpt/modeling_imagegpt.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Style

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

* started bf16 integration

* minor changes

* code now runs

* style

* lay foundation for bf16 testing

* lay foundation for bf16 testing

* start the tests

* better bf16 check

* style

* 2 separate checkers - one for bf16 support, another for bf16+autocast

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

* a couple of comment resolutions

* more comment resolutions

* resolved a small bug

* just some print statemtns

* added todo marking

* added a todo

* adjust for API change s/fast_dtype/dtype/

* fix style

* merge 2 bf16 util functions

* bf16 now does scaling too

* Add support for bfloat16

* Revert T5 layernorm to float32

This is based on the comment at https://github.com/huggingface/transformers/pull/14448/files#r752660929 and the PyTorch PR https://github.com/pytorch/pytorch/pull/66920

 .

* Add comment about conversion to float32 before returning the numpy data

* Add comment about AMP-bfloat16 incompatibility

* Fix formatting

* typo

* reformer / bf16

* cleanup

* require at least pt-1.10

* fix

* will deal with deepspeed separately

* cleanup

* revert

* cleanup

* fp16_full_eval and bf16_full_eval are separate modes

* proper deprecation

* cleanup

* test and fixes

* spelling

* cleanup

* add a note that this API is experimental
Co-authored-by: jamie <jamie@cortx.com>
Co-authored-by: Stas Bekman <stas@stason.org>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: suriya <suriya@cortx.com>
Co-authored-by: Manuel R. Ciosici <manuelrciosici@gmail.com>

* Add a post init method to all models

* Fix tests

* Fix last tests

* Fix templates

* Add comment

* Forgot to save

* Fix gradient_checkpointing backward compatibility

* Remove needless line

* make sure mask prob is big enough and length small enough

* Fix tests
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>

* respect dtype in _get_resized_lm_head

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

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

* Rename var

* Add comments

* Fix

* Style

* Name

* Fix tests

* Style

* Remove embed sizes checking

* Disable some tests

* Fix

* Apply suggestion

* Remove wrong model_args of config.from_pretrained

* Fix tf & flax

[Gradient checkpoining] Correct disabling `find_unused_parameters` in Trainer when gradient checkpointing is enabled (#13961)

* up

* correct test

* Added `framework` attribute

* Update modeling_utils.py

* Update modeling_flax_utils.py

* Update modeling_tf_utils.py

* Update modeling_utils.py

* Update modeling_tf_utils.py

* Update modeling_tf_utils.py

* Update modeling_flax_utils.py

* Update modeling_tf_utils.py

* Update modeling_utils.py

* Update modeling_utils.py

* Update modeling_tf_utils.py

* Update modeling_flax_utils.py

* string -> str

* Update modeling_tf_utils.py

* string -> str

* fixup

* make flake happy
Co-authored-by: patil-suraj <surajp815@gmail.com>

* Improve error message when loading models from Hub

* Adjust error message wording

This moves the assertion on checking input dimensions into a block that will only be called if the function is actually going to do chunking forward. This is often not the case at inference time and PyTorch tracing a model with this assertion in it leads to a tracing warning.

TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
  input_tensor.shape[chunk_dim] == tensor_shape for input_tensor in input_tensors

* one possible solution

* low mem from_pretrained

* edge cases

* solve the persistent buffers

* style

* parametrize

* for later

* proper solution

* cleanup

* refactor; rework based on suggestions

* revert splitting into 2 parts, move checks into main func

* Make gradient_checkpointing a training argument

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

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

* Fix tests

* Style

* document Gradient Checkpointing as a performance feature

* Small rename

* PoC for not using the config

* Adapt BC to new PoC

* Forgot to save

* Rollout changes to all other models

* Fix typo
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas@stason.org>

* [deepspeed] replaced deprecated init arg

* Trigger CI

* finish

* delete bogus file

* correct some stuff

* finish

* finish

* Better error raised when cloned without lfs

* add from e

* fix: typo spelling grammar

* fix: make fixup

* add error message concerning revision

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

* re-add double line endings

* is not None instead of implicit bool casting
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Fix tied weights on TPU

* Manually tie weights in no trainer examples

* Fix for test

* One last missing

* Gettning owned by my scripts

* Address review comments

* Fix test

* Fix tests

* Fix reformer tests

* Fix from_pretrained with corrupted state_dict

* Adapt test

* Use better checkpoint

* Style

* Clean up

* zero_to_fp32 tests

* args change

* remove unnecessary work

* use transformers.trainer_utils.get_last_checkpoint

* document the new features

* cleanup

* wip

* fix fsmt

* add bert

* cleanup

* add xlm-roberta

* electra works

* cleanup

* sync

* split off the model zoo tests

* cleanup

* cleanup

* cleanup

* cleanup

* reformat

* cleanup

* casing

* deepspeed>=0.4.3

* adjust distilbert

* Update docs/source/main_classes/deepspeed.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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