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Make torch xla available on GPU (#29334)

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* add USE_TORCH_XLA env

* rename torch_tpu to torch_xla

* better is_torch_xla_available; fix some fsdp and performance issues

* fix format

* fix bug when pjrt_device is cpu

* fix bug

* fix the deprecation handling

---------

Co-authored-by: anw90 <ang868@gmail.com>
Co-authored-by: wangang.wa <wangang.wa@alibaba-inc.com>
This commit is contained in:
Yitong Huang
2024-03-11 22:07:16 +08:00
committed by GitHub
parent 9a3f4d4daf
commit 873d9bb3cc
25 changed files with 120 additions and 77 deletions
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6
examples/pytorch/language-modeling/run_mlm.py
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@@ -45,7 +45,7 @@ from transformers import (
HfArgumentParser,
Trainer,
TrainingArguments,
is_torch_tpu_available,
is_torch_xla_available,
set_seed,
)
from transformers.trainer_utils import get_last_checkpoint
@@ -620,9 +620,9 @@ def main():
eval_dataset=eval_dataset if training_args.do_eval else None,
tokenizer=tokenizer,
data_collator=data_collator,
compute_metrics=compute_metrics if training_args.do_eval and not is_torch_tpu_available() else None,
compute_metrics=compute_metrics if training_args.do_eval and not is_torch_xla_available() else None,
preprocess_logits_for_metrics=preprocess_logits_for_metrics
if training_args.do_eval and not is_torch_tpu_available()
if training_args.do_eval and not is_torch_xla_available()
else None,
)