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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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16
tests/models/bigbird_pegasus/test_modeling_bigbird_pegasus.py
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@@ -418,12 +418,12 @@ class BigBirdPegasusModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineT
with torch.no_grad():
logits_single_first = model(input_ids=input_ids[:1, :-chunk_length], labels=labels[:1]).logits
self.assertTrue(torch.allclose(logits_batched[0, -3:], logits_single_first[0, -3:], atol=tolerance))
torch.testing.assert_close(logits_batched[0, -3:], logits_single_first[0, -3:], rtol=tolerance, atol=tolerance)
with torch.no_grad():
logits_single_second = model(input_ids=input_ids[1:], labels=labels[1:, :-4]).logits
self.assertTrue(torch.allclose(logits_batched[1, :3], logits_single_second[0, :3], atol=tolerance))
torch.testing.assert_close(logits_batched[1, :3], logits_single_second[0, :3], rtol=tolerance, atol=tolerance)
def test_auto_padding(self):
ids = [[7, 6, 9] * 65]
@@ -445,7 +445,7 @@ class BigBirdPegasusModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineT
"logits"
]
self.assertTrue(torch.allclose(output1, output2, atol=1e-5))
torch.testing.assert_close(output1, output2, rtol=1e-5, atol=1e-5)
def test_for_change_to_full_attn(self):
self.model_tester.seq_length = 9
@@ -462,7 +462,7 @@ class BigBirdPegasusModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineT
model.load_state_dict(state_dict)
outputs2 = model(**input_dict)["logits"]
self.assertTrue(torch.allclose(outputs1, outputs2, atol=1e-5))
torch.testing.assert_close(outputs1, outputs2, rtol=1e-5, atol=1e-5)
@unittest.skip(
reason="This architecure has tied weights by default and there is no way to remove it, check: https://github.com/huggingface/transformers/pull/31771#issuecomment-2210915245"
@@ -523,8 +523,8 @@ class BigBirdPegasusModelIntegrationTests(unittest.TestCase):
)
# fmt: on
self.assertTrue(
torch.allclose(prediction_logits[0, 4:8, 128:156], expected_prediction_logits_slice, atol=1e-4)
torch.testing.assert_close(
prediction_logits[0, 4:8, 128:156], expected_prediction_logits_slice, rtol=1e-4, atol=1e-4
)
def test_inference_full_attn(self):
@@ -544,8 +544,8 @@ class BigBirdPegasusModelIntegrationTests(unittest.TestCase):
device=torch_device,
)
# fmt: on
self.assertTrue(
torch.allclose(prediction_logits[0, 4:8, 128:156], expected_prediction_logits_slice, atol=1e-4)
torch.testing.assert_close(
prediction_logits[0, 4:8, 128:156], expected_prediction_logits_slice, rtol=1e-4, atol=1e-4
)
def test_seq_to_seq_generation(self):