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use torch.testing.assertclose instead to get more details about error in cis (#35659)

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* use torch.testing.assertclose instead to get more details about error in cis

* fix

* style

* test_all

* revert for I bert

* fixes and updates

* more image processing fixes

* more image processors

* fix mamba and co

* style

* less strick

* ok I won't be strict

* skip and be done

* up
This commit is contained in:
Arthur
2025-01-24 16:55:28 +01:00
committed by GitHub
parent 72d1a4cd53
commit b912f5ee43
255 changed files with 1048 additions and 969 deletions
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4
tests/generation/test_utils.py
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@@ -1531,7 +1531,7 @@ class GenerationTesterMixin:
next_logits_with_padding = model(**model_kwargs).logits[:, -1, :]
# They should result in very similar logits
torch.testing.assert_close(next_logits_wo_padding, next_logits_with_padding, atol=1e-5, rtol=1e-5)
torch.testing.assert_close(next_logits_wo_padding, next_logits_with_padding, rtol=1e-5, atol=1e-5)
@pytest.mark.generate
def test_past_key_values_format(self):
@@ -2708,7 +2708,7 @@ class GenerationIntegrationTests(unittest.TestCase, GenerationIntegrationTestsMi
transition_scores = model.compute_transition_scores(outputs.sequences, outputs.scores, outputs.beam_indices)
transition_scores_sum = transition_scores.sum(-1)
self.assertTrue(torch.allclose(transition_scores_sum, outputs.sequences_scores, atol=1e-3))
torch.testing.assert_close(transition_scores_sum, outputs.sequences_scores, rtol=1e-3, atol=1e-3)
def test_beam_search_low_memory(self):
tokenizer = GPT2Tokenizer.from_pretrained("openai-community/gpt2")