Add smoke test Using a simple RN50 with torch.compile (#7359)

test/smoke_test.py

@@ -4,6 +4,7 @@ import os
 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
@@ -26,6 +27,12 @@ def smoke_test_torchvision_read_decode() -> None:
     if img_png.ndim != 3 or img_png.numel() < 100:
         raise RuntimeError(f"Unexpected shape of img_png: {img_png.shape}")
 
+def smoke_test_compile() -> None:
+    model = resnet50().cuda()
+    model = torch.compile(model)
+    x = torch.randn(1, 3, 224, 224, device="cuda")
+    out = model(x)
+    print(f"torch.compile model output: {out.shape}")
 
 def smoke_test_torchvision_resnet50_classify(device: str = "cpu") -> None:
     img = read_image(str(SCRIPT_DIR / ".." / "gallery" / "assets" / "dog2.jpg")).to(device)
@@ -54,14 +61,18 @@ def smoke_test_torchvision_resnet50_classify(device: str = "cpu") -> None:
 
 def main() -> None:
     print(f"torchvision: {torchvision.__version__}")
+    print(f"torch.cuda.is_available: {torch.cuda.is_available()}")
     smoke_test_torchvision()
     smoke_test_torchvision_read_decode()
     smoke_test_torchvision_resnet50_classify()
     if torch.cuda.is_available():
         smoke_test_torchvision_resnet50_classify("cuda")
+        smoke_test_compile()
+
     if torch.backends.mps.is_available():
         smoke_test_torchvision_resnet50_classify("mps")
 
 
+
 if __name__ == "__main__":
     main()