use torch.testing.assertclose instead to get more details about error in cis (#35659)
* 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
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@@ -515,7 +515,7 @@ class Kosmos2ModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMi
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next_logits_with_padding = model(**model_kwargs, pixel_values=pixel_values).logits[:, -1, :]
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# They should result in very similar logits
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self.assertTrue(torch.allclose(next_logits_wo_padding, next_logits_with_padding, atol=1e-3))
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torch.testing.assert_close(next_logits_wo_padding, next_logits_with_padding, rtol=1e-3, atol=1e-3)
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@slow
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def test_model_from_pretrained(self):
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@@ -892,6 +892,6 @@ class Kosmos2ModelIntegrationTest(unittest.TestCase):
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[[0.9148, -1.4148, 3.8040], [3.3443, 1.9478, 0.2080], [1.6604, 2.8184, -0.3618]]
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).to(torch_device)
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self.assertTrue(
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torch.allclose(outputs.vision_model_output.last_hidden_state[0, :3, :3], expected_slice, atol=1e-1)
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torch.testing.assert_close(
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outputs.vision_model_output.last_hidden_state[0, :3, :3], expected_slice, rtol=1e-2, atol=1e-2
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)
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