From 4f1c9d162ee53004be4d63b76627bd0c2f5a31a9 Mon Sep 17 00:00:00 2001 From: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Date: Thu, 5 Jan 2023 14:30:32 +0100 Subject: [PATCH] [CLIPSeg] Fix integration test (#20995) Fix integration test Co-authored-by: Niels Rogge --- tests/models/clipseg/test_modeling_clipseg.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/models/clipseg/test_modeling_clipseg.py b/tests/models/clipseg/test_modeling_clipseg.py index 9457cde60c..f170f60653 100644 --- a/tests/models/clipseg/test_modeling_clipseg.py +++ b/tests/models/clipseg/test_modeling_clipseg.py @@ -730,12 +730,12 @@ class CLIPSegModelIntegrationTest(unittest.TestCase): torch.Size((3, 352, 352)), ) expected_masks_slice = torch.tensor( - [[-7.4577, -7.4952, -7.4072], [-7.3115, -7.0969, -7.1624], [-6.9472, -6.7641, -6.8911]] + [[-7.4613, -7.4785, -7.3628], [-7.3268, -7.0899, -7.1333], [-6.9838, -6.7900, -6.8913]] ).to(torch_device) self.assertTrue(torch.allclose(outputs.logits[0, :3, :3], expected_masks_slice, atol=1e-3)) # verify conditional and pooled output expected_conditional = torch.tensor([0.5601, -0.0314, 0.1980]).to(torch_device) - expected_pooled_output = torch.tensor([0.2692, -0.7197, -0.1328]).to(torch_device) + expected_pooled_output = torch.tensor([0.5036, -0.2681, -0.2644]).to(torch_device) self.assertTrue(torch.allclose(outputs.conditional_embeddings[0, :3], expected_conditional, atol=1e-3)) self.assertTrue(torch.allclose(outputs.pooled_output[0, :3], expected_pooled_output, atol=1e-3))