xref: /aosp_15_r20/external/pytorch/test/_test_bazel.py (revision da0073e96a02ea20f0ac840b70461e3646d07c45)
1# Owner(s): ["module: bazel"]
2
3"""
4This test module contains a minimalistic "smoke tests" for the bazel build.
5
6Currently it doesn't use any testing framework (i.e. pytest)
7TODO: integrate this into the existing pytorch testing framework.
8
9The name uses underscore `_test_bazel.py` to avoid globbing into other non-bazel configurations.
10"""
11
12import torch
13
14
15def test_sum() -> None:
16    assert torch.eq(
17        torch.tensor([[1, 2, 3]]) + torch.tensor([[4, 5, 6]]), torch.tensor([[5, 7, 9]])
18    ).all()
19
20
21def test_simple_compile_eager() -> None:
22    def foo(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
23        a = torch.sin(x)
24        b = torch.cos(y)
25        return a + b
26
27    opt_foo1 = torch.compile(foo, backend="eager")
28    # just check that we can run without raising an Exception
29    assert opt_foo1(torch.randn(10, 10), torch.randn(10, 10)) is not None
30
31
32test_sum()
33test_simple_compile_eager()
34