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Fix the behavior of collecting 'num_input_tokens_seen' #29099

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youliangh
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What does this PR do?

The length of "inputs[main_input_name]" is not guaranteed to be the same when using DDP, which may make the training process hang. Besides, in a distributed setup, it costs a lot to gather the WHOLE input tensors on different workers. It is better to call .numel() first and then .gather().

Fixes #28791

The modified code has already passed the relevant test tests/trainer/test_trainer_distributed.py with additional argument 'include_num_input_tokens_seen'.

Who can review?

@pacman100
@muellerzr

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@muellerzr muellerzr left a comment

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Thanks! Overall this looks good to me, can you rebase from main to ensure that tests pass?

@youliangh
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Just got it rebased from the main. However something still went wrong in the test, and it seems irrevelant to my PR.
Could you help identify?
Much appreciate @muellerzr

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@ArthurZucker ArthurZucker left a comment

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LGTM, it's been three weeks the unrelated tests are fixed, sorry to ask you to rebase one more time!

@youliangh
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Done, and it has passed all the tests.
@muellerzr @ArthurZucker

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@ArthurZucker ArthurZucker merged commit afe73ae into huggingface:main Mar 25, 2024
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@ArthurZucker
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thanks for this fix

hovnatan pushed a commit to hovnatan/transformers that referenced this pull request Mar 27, 2024
…9099)

fix the behavior of collecting 'num_input_tokens_seen'

See huggingface#28791 for more details.
itazap pushed a commit that referenced this pull request May 14, 2024
fix the behavior of collecting 'num_input_tokens_seen'

See #28791 for more details.
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Successfully merging this pull request may close these issues.

Inappropriate reduce operation of "num_input_tokens_seen" is prone to get training stuck.
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