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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@@ -739,7 +739,7 @@ class ChineseCLIPModelIntegrationTest(unittest.TestCase):
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probs = outputs.logits_per_image.softmax(dim=1)
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expected_probs = torch.tensor([[1.2686e-03, 5.4499e-02, 6.7968e-04, 9.4355e-01]], device=torch_device)
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self.assertTrue(torch.allclose(probs, expected_probs, atol=5e-3))
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torch.testing.assert_close(probs, expected_probs, rtol=5e-3, atol=5e-3)
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@slow
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def test_inference_interpolate_pos_encoding(self):
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@@ -775,6 +775,6 @@ class ChineseCLIPModelIntegrationTest(unittest.TestCase):
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[[-0.3990, 0.2983, -0.1239], [-0.1452, -0.2759, 0.0403], [-0.3149, -0.4763, 0.8555]]
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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-4)
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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-4, atol=1e-4
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)
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