@@ -1458,6 +1458,9 @@ class TrainerIntegrationTest(TestCasePlus, TrainerIntegrationCommon):
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trainer.train(resume_from_checkpoint=True)
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trainer.train(resume_from_checkpoint=True)
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self.assertTrue("No valid checkpoint found in output directory" in str(context.exception))
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self.assertTrue("No valid checkpoint found in output directory" in str(context.exception))
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@unittest.skip(
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reason="@muellerzr: Fix once Trainer can take an accelerate configuration. Need to set `seedable_sampler=True`."
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)
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def test_resume_training_with_randomness(self):
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def test_resume_training_with_randomness(self):
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# For more than 1 GPUs, since the randomness is introduced in the model and with DataParallel (which is used
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# For more than 1 GPUs, since the randomness is introduced in the model and with DataParallel (which is used
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# in this test for more than 2 GPUs), the calls to the torch RNG will happen in a random order (sometimes
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# in this test for more than 2 GPUs), the calls to the torch RNG will happen in a random order (sometimes
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