tests/python/relax/test_transform_expand_tuple_args.py

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#
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import tvm
import tvm.testing
from tvm.script import ir as I, relax as R, tir as T


class BaseCompare(tvm.testing.CompareBeforeAfter):
    transform = tvm.relax.transform.ExpandTupleArguments()


class TestSimple(BaseCompare):
    @I.ir_module
    class Before:
        @R.function
        def main(A: R.Tensor, B: R.Tensor):
            return Before.func((A, B))

        @R.function(private=True)
        def func(args: R.Tuple([R.Tensor, R.Tensor])) -> R.Tensor:
            return args[0]

    @I.ir_module
    class Expected:
        @R.function
        def main(A: R.Tensor, B: R.Tensor):
            return Expected.func(A, B)

        @R.function(private=True)
        def func(A: R.Tensor, B: R.Tensor) -> R.Tensor:
            return A


class TestNested(BaseCompare):
    @I.ir_module
    class Before:
        @R.function
        def main(A: R.Tensor, B: R.Tensor, C: R.Tensor, D: R.Tensor) -> R.Tensor:
            return Before.func(((A, B), (C, D)))

        @R.function(private=True)
        def func(
            args: R.Tuple(
                [
                    R.Tuple([R.Tensor, R.Tensor]),
                    R.Tuple([R.Tensor, R.Tensor]),
                ]
            )
        ) -> R.Tensor:
            return args[0][1]

    @I.ir_module
    class Expected:
        @R.function
        def main(A: R.Tensor, B: R.Tensor, C: R.Tensor, D: R.Tensor) -> R.Tensor:
            return Expected.func(A, B, C, D)

        @R.function(private=True)
        def func(A: R.Tensor, B: R.Tensor, C: R.Tensor, D: R.Tensor) -> R.Tensor:
            return B


if __name__ == "__main__":
    tvm.testing.main()