| # Owner(s): ["module: bazel"] | 
 |  | 
 | """ | 
 | This test module contains a minimalistic "smoke tests" for the bazel build. | 
 |  | 
 | Currently it doesn't use any testing framework (i.e. pytest) | 
 | TODO: integrate this into the existing pytorch testing framework. | 
 |  | 
 | The name uses underscore `_test_bazel.py` to avoid globbing into other non-bazel configurations. | 
 | """ | 
 |  | 
 | import torch | 
 |  | 
 | def test_sum() -> None: | 
 |     assert torch.eq(torch.tensor([[1, 2, 3]]) + torch.tensor([[4, 5, 6]]), torch.tensor([[5, 7, 9]])).all() | 
 |  | 
 | def test_simple_compile_eager() -> None: | 
 |  | 
 |     def foo(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor: | 
 |         a = torch.sin(x) | 
 |         b = torch.cos(y) | 
 |         return a + b | 
 |  | 
 |     opt_foo1 = torch.compile(foo, backend="eager") | 
 |     # just check that we can run without raising an Exception | 
 |     assert opt_foo1(torch.randn(10, 10), torch.randn(10, 10)) is not None | 
 |  | 
 |  | 
 | test_sum() | 
 | test_simple_compile_eager() |