1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
|
# 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()
|
