SUMIN/HuggingFace_transformer
1
0
Fork 0
Code Issues Pull Requests Actions 7 Packages Projects Releases Wiki Activity

Fix PyTorch SAM tests (#23682)

Browse Source 
fix

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2023-05-23 14:48:38 +02:00
committed by GitHub
parent b687af0b36
commit abf691aac0
1 changed files with 4 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
tests/models/sam/test_modeling_sam.py
View File

@@ -476,7 +476,7 @@ class SamModelIntegrationTest(unittest.TestCase):
scores = outputs.iou_scores.squeeze()
masks = outputs.pred_masks[0, 0, 0, 0, :3]
self.assertTrue(torch.allclose(scores[-1], torch.tensor(0.4515), atol=2e-4))
self.assertTrue(torch.allclose(masks, torch.tensor([-4.1807, -3.4949, -3.4483]).to(torch_device), atol=2e-4))
self.assertTrue(torch.allclose(masks, torch.tensor([-4.1800, -3.4948, -3.4481]).to(torch_device), atol=2e-4))
def test_inference_mask_generation_one_point_one_bb(self):
model = SamModel.from_pretrained("facebook/sam-vit-base")
@@ -499,7 +499,7 @@ class SamModelIntegrationTest(unittest.TestCase):
masks = outputs.pred_masks[0, 0, 0, 0, :3]
self.assertTrue(torch.allclose(scores[-1], torch.tensor(0.9566), atol=2e-4))
self.assertTrue(
torch.allclose(masks, torch.tensor([-12.7657, -12.3683, -12.5985]).to(torch_device), atol=2e-4)
torch.allclose(masks, torch.tensor([-12.7729, -12.3665, -12.6061]).to(torch_device), atol=2e-4)
)
def test_inference_mask_generation_batched_points_batched_images(self):
@@ -540,7 +540,7 @@ class SamModelIntegrationTest(unittest.TestCase):
],
]
)
EXPECTED_MASKS = torch.tensor([-2.8552, -2.7990, -2.9612])
EXPECTED_MASKS = torch.tensor([-2.8550, -2.7988, -2.9625])
self.assertTrue(torch.allclose(scores, EXPECTED_SCORES, atol=1e-3))
self.assertTrue(torch.allclose(masks, EXPECTED_MASKS, atol=1e-3))
@@ -568,7 +568,7 @@ class SamModelIntegrationTest(unittest.TestCase):
outputs = model(**inputs)
scores = outputs.iou_scores.squeeze()
self.assertTrue(torch.allclose(scores[-1], torch.tensor(0.7892), atol=1e-4))
self.assertTrue(torch.allclose(scores[-1], torch.tensor(0.7894), atol=1e-4))
def test_inference_mask_generation_one_point(self):
model = SamModel.from_pretrained("facebook/sam-vit-base")