tests/python/relax/test_transform_remove_unused_outputs.py

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# to you under the Apache License, Version 2.0 (the
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#
#   http://www.apache.org/licenses/LICENSE-2.0
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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.RemoveUnusedOutputs()


class TestSimple(BaseCompare):
    @I.ir_module
    class Before:
        @R.function
        def main():
            args = Before.func()
            return args[0]

        @R.function(private=True)
        def func() -> R.Tuple([R.Tensor, R.Tensor]):
            A = R.zeros([16, 16], "int32")
            B = R.ones([16, 16], "int32")
            return (A, B)

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

        @R.function(private=True)
        def func() -> R.Tensor([16, 16], "int32"):
            A = R.zeros([16, 16], "int32")
            return A


class TestUseMultipleOutputs(BaseCompare):
    @I.ir_module
    class Before:
        @R.function
        def main():
            args = Before.func()
            return (args[0], args[2])

        @R.function(private=True)
        def func() -> R.Tuple([R.Tensor, R.Tensor, R.Tensor]):
            A = R.zeros([16, 16], "int32")
            B = R.ones([16, 16], "int32")
            C = R.zeros([32, 32], "int32")
            return (A, B, C)

    @I.ir_module
    class Expected:
        @R.function
        def main():
            args = Expected.func()
            return (args[0], args[1])

        @R.function(private=True)
        def func() -> R.Tuple([R.Tensor([16, 16], "int32"), R.Tensor([32, 32], "int32")]):
            A = R.zeros([16, 16], "int32")
            C = R.zeros([32, 32], "int32")
            return (A, C)


class TestMultipleCallSites(BaseCompare):
    @I.ir_module
    class Before:
        @R.function
        def main_a():
            args = Before.func()
            return args[0]

        @R.function
        def main_b():
            args = Before.func()
            return args[2]

        @R.function(private=True)
        def func() -> R.Tuple([R.Tensor, R.Tensor, R.Tensor]):
            A = R.zeros([16, 16], "int32")
            B = R.ones([16, 16], "int32")
            C = R.zeros([32, 32], "int32")
            return (A, B, C)

    @I.ir_module
    class Expected:
        @R.function
        def main_a():
            args = Expected.func()
            return args[0]

        @R.function
        def main_b():
            args = Expected.func()
            return args[1]

        @R.function(private=True)
        def func() -> R.Tuple([R.Tensor([16, 16], "int32"), R.Tensor([32, 32], "int32")]):
            A = R.zeros([16, 16], "int32")
            C = R.zeros([32, 32], "int32")
            return (A, C)


class TestReturnTuple(BaseCompare):
    @I.ir_module
    class Before:
        @R.function
        def main(A: R.Tensor([16, 16], "int32")):
            B = R.add(A, A)
            out_tuple = Before.func(B)
            return out_tuple

        @R.function(private=True)
        def func(
            B: R.Tensor([16, 16], "int32")
        ) -> R.Tuple(R.Tensor([16, 16], "int32"), R.Tensor([16, 16], "int32")):
            C = R.multiply(B, B)
            D = R.add(B, B)
            return (C, D)

    Expected = Before


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