| # 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() |