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Fix device issue in UperNetModelIntegrationTest (#21192)

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fix device

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2023-01-19 14:26:14 +01:00
committed by GitHub
parent 35920c9715
commit 5761ceb35a
1 changed files with 2 additions and 2 deletions
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4
tests/models/upernet/test_modeling_upernet.py
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@@ -272,7 +272,7 @@ def prepare_img():
class UperNetModelIntegrationTest(unittest.TestCase): class UperNetModelIntegrationTest(unittest.TestCase):
def test_inference_swin_backbone(self): def test_inference_swin_backbone(self):
processor = AutoImageProcessor.from_pretrained("openmmlab/upernet-swin-tiny") processor = AutoImageProcessor.from_pretrained("openmmlab/upernet-swin-tiny")
model = UperNetForSemanticSegmentation.from_pretrained("openmmlab/upernet-swin-tiny") model = UperNetForSemanticSegmentation.from_pretrained("openmmlab/upernet-swin-tiny").to(torch_device)
image = prepare_img() image = prepare_img()
inputs = processor(images=image, return_tensors="pt").to(torch_device) inputs = processor(images=image, return_tensors="pt").to(torch_device)
@@ -290,7 +290,7 @@ class UperNetModelIntegrationTest(unittest.TestCase):
def test_inference_convnext_backbone(self): def test_inference_convnext_backbone(self):
processor = AutoImageProcessor.from_pretrained("openmmlab/upernet-convnext-tiny") processor = AutoImageProcessor.from_pretrained("openmmlab/upernet-convnext-tiny")
model = UperNetForSemanticSegmentation.from_pretrained("openmmlab/upernet-convnext-tiny") model = UperNetForSemanticSegmentation.from_pretrained("openmmlab/upernet-convnext-tiny").to(torch_device)
image = prepare_img() image = prepare_img()
inputs = processor(images=image, return_tensors="pt").to(torch_device) inputs = processor(images=image, return_tensors="pt").to(torch_device)