GitLab

* improve memory benchmarking

* correct typo

* fix current memory

* check torch memory allocated

* better pytorch function

* add total cached gpu memory

* add total gpu required

* improve torch gpu usage

* update memory usage

* finalize memory tracing

* save intermediate benchmark class

* fix conflict

* improve benchmark

* improve benchmark

* finalize

* make style

* improve benchmarking

* correct typo

* make train function more flexible

* fix csv save

* better repr of bytes

* better print

* fix __repr__ bug

* finish plot script

* rename plot file

* delete csv and small improvements

* fix in plot

* fix in plot

* correct usage of timeit

* remove redundant line

* remove redundant line

* fix bug

* add hf parser tests

* add versioning and platform info

* make style

* add gpu information

* ensure backward compatibility

* finish adding all tests

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

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

* delete csv files

* fix isort ordering

* add out of memory handling

* add better train memory handling
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* doc

* [tests] Add sample files for a regression task

* [HUGE] Trainer

* Feedback from @sshleifer

* Feedback from @thomwolf + logging tweak

* [file_utils] when downloading concurrently, get_from_cache will use the cached file for subsequent processes

* [glue] Use default max_seq_length of 128 like before

* [glue] move DataTrainingArguments around

* [ner] Change interface of InputExample, and align run_{tf,pl}

* Re-align the pl scripts a little bit

* ner

* [ner] Add integration test

* Fix language_modeling with API tweak

* [ci] Tweak loss target

* Don't break console output

* amp.initialize: model must be on right device before

* [multiple-choice] update for Trainer

* Re-align to 827d6d6e

* [examples] Generate argparsers from type hints on dataclasses

* [HfArgumentParser] way simpler API

* Restore run_language_modeling.py for easier diff

* [HfArgumentParser] final tweaks from code review