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Reproducible checkpoint (#11582)

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* Set generator in dataloader

* Use generator in all random samplers

* Checkpoint all RNG states

* Final version

* Quality

* Test

* Address review comments

* Quality

* Remove debug util

* Add python and numpy RNGs

* Split states in different files in distributed

* Quality

* local_rank for TPUs

* Only use generator when accepted

* Add test

* Set seed to avoid flakiness

* Make test less flaky

* Quality
This commit is contained in:
Sylvain Gugger
2021-05-04 16:20:56 -04:00
committed by GitHub
parent 0afe4a90f9
commit 6b241e0e3b
4 changed files with 129 additions and 3 deletions
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examples/pytorch/test_examples.py
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@@ -204,7 +204,6 @@ class ExamplesTests(TestCasePlus):
run_ner.main()
result = get_results(tmp_dir)
self.assertGreaterEqual(result["eval_accuracy"], 0.75)
self.assertGreaterEqual(result["eval_precision"], 0.75)
self.assertLess(result["eval_loss"], 0.5)
def test_run_squad(self):