pytorch

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