Apply cuda fix

test/smoke_test.py

@@ -4,6 +4,7 @@
 from pathlib import Path
 
 import torch
+import torch.nn as nn
 import torchvision
 from torchvision.io import read_image
 from torchvision.models import resnet50, ResNet50_Weights
@@ -27,10 +28,9 @@ def smoke_test_torchvision_read_decode() -> None:
         raise RuntimeError(f"Unexpected shape of img_png: {img_png.shape}")
 
 def smoke_test_compile() -> None:
-    import torch.nn as nn
     model = resnet50().cuda()
     model = torch.compile(model)
-    x = torch.randn(1, 3, 224, 224).cuda()
+    x = torch.randn(1, 3, 224, 224, device="cuda")
     out = model(x)
     print(out.shape)
 
@@ -66,12 +66,10 @@ def main() -> None:
     smoke_test_torchvision_resnet50_classify()
     if torch.cuda.is_available():
         smoke_test_torchvision_resnet50_classify("cuda")
-<<<<<<< HEAD
+        smoke_test_compile()
     if torch.backends.mps.is_available():
         smoke_test_torchvision_resnet50_classify("mps")
-=======
-        smoke_test_compile()
->>>>>>> 2b8667d9a4 (Add smoke test Using a simple RN50 with torch.compile)
+
 
 
 if __name__ == "__main__":