Add some more validation checks for torch.linalg.eigh and torch.compi…

…le (pytorch#1580)

* Add some more validation checks for torch.linalg.eigh and torch.compile

* Update test

* Also update smoke_test.py

* Fix lint

check_binary.sh

@@ -404,6 +404,12 @@ if [[ "$DESIRED_CUDA" != 'cpu' && "$DESIRED_CUDA" != 'cpu-cxx11-abi' && "$DESIRE
     echo "Test that linalg works"
     python -c "import torch;x=torch.rand(3,3,device='cuda');print(torch.linalg.svd(torch.mm(x.t(), x)))"
 
+    echo "Test that linalg.eigh works"
+    python -c "import torch;x=torch.rand(3,3,device='cuda');print(torch.linalg.eigh(torch.mm(x.t(), x)))"
+
+    echo "Checking that basic torch.compile works"
+    python ${TEST_CODE_DIR}/torch_compile_smoke.py
+
     popd
   fi # if libtorch
 fi # if cuda

test/smoke_test/smoke_test.py

@@ -193,6 +193,9 @@ def smoke_test_linalg() -> None:
             A = torch.randn(20, 16, 50, 100, device="cuda").type(dtype)
             torch.linalg.svd(A)
 
+        A = torch.rand(3, 3, device="cuda")
+        L, Q = torch.linalg.eigh(torch.mm(A.t(), A))
+
 
 def smoke_test_compile() -> None:
     supported_dtypes = [torch.float16, torch.float32, torch.float64]

test_example_code/torch_compile_smoke.py

@@ -0,0 +1,12 @@
+import torch
+
+
+def foo(x: torch.Tensor) -> torch.Tensor:
+    return torch.sin(x) + torch.cos(x)
+
+
+if __name__ == "__main__":
+    x = torch.rand(3, 3, device="cuda")
+    x_eager = foo(x)
+    x_pt2 = torch.compile(foo)(x)
+    print(torch.allclose(x_eager, x_pt2))