hasan salim kanmaz c33f6046c3 [WIP] Enable reproducibility for distributed trainings (#16907) ... * add seed worker and set_deterministic_seed_for_cuda function to enforce reproducability * change function name to enable determinism, add docstrings, reproducability support for tf * change function name to enable_determinism_for_distributed_training * revert changes in set_seed and call set_seed within enable_full_determinism * add one position argument for seed_worker function * add full_determinism flag in training args and call enable_full_determinism when it is true * add enable_full_determinism to documentation * apply make fixup after the last commit * Update src/transformers/training_args.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>		2022-05-11 09:37:13 -04:00
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file_utils.mdx	Enable doc in Spanish (#16518)	2022-04-04 10:25:46 -04:00
generation_utils.mdx	TF generate refactor - Beam Search (#16374)	2022-04-06 18:19:34 +01:00
modeling_utils.mdx	Moved functions to pytorch_utils.py (#16625)	2022-04-12 12:38:50 -04:00
pipelines_utils.mdx	Enable doc in Spanish (#16518)	2022-04-04 10:25:46 -04:00
tokenization_utils.mdx	Enable doc in Spanish (#16518)	2022-04-04 10:25:46 -04:00
trainer_utils.mdx	[WIP] Enable reproducibility for distributed trainings (#16907)	2022-05-11 09:37:13 -04:00