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fix type annotations for arguments in training_args (#24550)

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* testing

* example script

* fix typehinting

* some tests

* make test

* optional update

* Union of arguments

* does this fix the issue

* remove reports

* set default to False

* documentation change

* None support

* does not need None

* Fix typing annotations for FSDP and DeepSpeed in TrainingArguments (#24549)

* Fix typing annotations for FSDP and DeepSpeed in TrainingArguments

* Change dict to Dict

* Revert "Fix typing annotations for FSDP and DeepSpeed in TrainingArguments" (#24574)

Revert "Fix typing annotations for FSDP and DeepSpeed in TrainingArguments (#24549)"

This reverts commit c5e29d4381.

* Fix typing annotations for FSDP and DeepSpeed in TrainingArguments (#24549)

* Fix typing annotations for FSDP and DeepSpeed in TrainingArguments

* Change dict to Dict

* merge

* hacky fix

* fixup

---------

Co-authored-by: Max Ryabinin <mryabinin0@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
This commit is contained in:
Shauray Singh
2023-07-20 19:43:13 +05:30
committed by GitHub
parent 0c41765df4
commit e75cb0cb3c
1 changed files with 8 additions and 8 deletions
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12
src/transformers/training_args.py
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@@ -406,7 +406,7 @@ class TrainingArguments:
When resuming training, whether or not to skip the epochs and batches to get the data loading at the same When resuming training, whether or not to skip the epochs and batches to get the data loading at the same
stage as in the previous training. If set to `True`, the training will begin faster (as that skipping step stage as in the previous training. If set to `True`, the training will begin faster (as that skipping step
can take a long time) but will not yield the same results as the interrupted training would have. can take a long time) but will not yield the same results as the interrupted training would have.
sharded_ddp (`bool`, `str` or list of [`~trainer_utils.ShardedDDPOption`], *optional*, defaults to `False`): sharded_ddp (`bool`, `str` or list of [`~trainer_utils.ShardedDDPOption`], *optional*, defaults to `''`):
Use Sharded DDP training from [FairScale](https://github.com/facebookresearch/fairscale) (in distributed Use Sharded DDP training from [FairScale](https://github.com/facebookresearch/fairscale) (in distributed
training only). This is an experimental feature. training only). This is an experimental feature.
@@ -421,7 +421,7 @@ class TrainingArguments:
If a string is passed, it will be split on space. If a bool is passed, it will be converted to an empty If a string is passed, it will be split on space. If a bool is passed, it will be converted to an empty
list for `False` and `["simple"]` for `True`. list for `False` and `["simple"]` for `True`.
fsdp (`bool`, `str` or list of [`~trainer_utils.FSDPOption`], *optional*, defaults to `False`): fsdp (`bool`, `str` or list of [`~trainer_utils.FSDPOption`], *optional*, defaults to `''`):
Use PyTorch Distributed Parallel Training (in distributed training only). Use PyTorch Distributed Parallel Training (in distributed training only).
A list of options along the following: A list of options along the following:
@@ -969,7 +969,7 @@ class TrainingArguments:
) )
}, },
) )
sharded_ddp: str = field( sharded_ddp: Optional[Union[List[ShardedDDPOption], str]] = field(
default="", default="",
metadata={ metadata={
"help": ( "help": (
@@ -980,7 +980,7 @@ class TrainingArguments:
), ),
}, },
) )
fsdp: str = field( fsdp: Optional[Union[List[FSDPOption], str]] = field(
default="", default="",
metadata={ metadata={
"help": ( "help": (
@@ -1019,11 +1019,11 @@ class TrainingArguments:
) )
}, },
) )
deepspeed: Optional[str] = field( deepspeed: Optional[Union[str, Dict]] = field(
default=None, default=None,
metadata={ metadata={
"help": ( "help": (
"Enable deepspeed and pass the path to deepspeed json config file (e.g. ds_config.json) or an already" "Enable deepspeed and pass the path to deepspeed json config file (e.g. `ds_config.json`) or an already"
" loaded json file as a dict" " loaded json file as a dict"
) )
}, },