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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
from tvm.script import relax as R
from tvm.script import tirx as T


def test_prim_value_in_assert_condition():
    @I.ir_module
    class Before:
        @R.function(pure=False)
        def main(A: R.Tensor(["N"])):
            N = T.int64()
            _ = R.assert_op(N % 16 == 0)
            return A

    @I.ir_module
    class Expected:
        @R.function(pure=False)
        def main(A: R.Tensor(["N"])):
            N = T.int64()
            condition: R.Prim("bool") = Expected.compute_symbolic_expr(R.prim_value(N))
            _ = R.assert_op(condition)
            return A

        @T.prim_func(private=True, s_tir=True)
        def compute_symbolic_expr(N: T.int64) -> T.bool:
            T.func_attr({"tirx.is_host_func": True})
            T.ret(N % 16 == 0)

    After = tvm.relax.transform.ComputePrimValue()(Before)
    tvm.ir.assert_structural_equal(After, Expected)


def test_prim_value_in_branch_condition():
    @I.ir_module
    class Before:
        @R.function(pure=False)
        def main(A: R.Tensor(["N"])):
            N = T.int64()
            if R.prim_value(N % 16 == 0):
                out = R.call_packed("fast_vectorized_impl", A, ty_args=[A.ty])
            else:
                out = R.call_packed("slow_non_vectorized_impl", A, ty_args=[A.ty])
            return out

    @I.ir_module
    class Expected:
        @R.function(pure=False)
        def main(A: R.Tensor(["N"])):
            N = T.int64()
            condition: R.Prim("bool") = Expected.compute_symbolic_expr(R.prim_value(N))
            if condition:
                out = R.call_packed("fast_vectorized_impl", A, ty_args=[A.ty])
            else:
                out = R.call_packed("slow_non_vectorized_impl", A, ty_args=[A.ty])
            return out

        @T.prim_func(private=True, s_tir=True)
        def compute_symbolic_expr(N: T.int64) -> T.bool:
            T.func_attr({"tirx.is_host_func": True})
            T.ret(N % 16 == 0)

    After = tvm.relax.transform.ComputePrimValue()(Before)
    tvm.ir.assert_structural_equal(After, Expected)


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