Method power

tests/python/relax/test_transform_legalize_ops_binary.py:688–696

(rxplaceholder: T.Buffer((T.int64(1), T.int64(2), T.int64(3)), "float32"), rxplaceholder_1: T.Buffer((T.int64(4), T.int64(3), T.int64(2), T.int64(1)), "float32"), T_power: T.Buffer((T.int64(4), T.int64(3), T.int64(2), T.int64(3)), "float32"))

    class Expected:
        @T.prim_func(private=True, s_tir=True)
        def power(rxplaceholder: T.Buffer((T.int64(1), T.int64(2), T.int64(3)), "float32"), rxplaceholder_1: T.Buffer((T.int64(4), T.int64(3), T.int64(2), T.int64(1)), "float32"), T_power: T.Buffer((T.int64(4), T.int64(3), T.int64(2), T.int64(3)), "float32")):
            T.func_attr({"tirx.noalias": True})
            # with T.sblock("root"):
            for ax0, ax1, ax2, ax3 in T.grid(T.int64(4), T.int64(3), T.int64(2), T.int64(3)):
                with T.sblock("T_power"):
                    v_ax0, v_ax1, v_ax2, v_ax3 = T.axis.remap("SSSS", [ax0, ax1, ax2, ax3])
                    T.reads(rxplaceholder[T.int64(0), v_ax2, v_ax3], rxplaceholder_1[v_ax0, v_ax1, v_ax2, T.int64(0)])
                    T.writes(T_power[v_ax0, v_ax1, v_ax2, v_ax3])
                    T_power[v_ax0, v_ax1, v_ax2, v_ax3] = T.pow(rxplaceholder[T.int64(0), v_ax2, v_ax3], rxplaceholder_1[v_ax0, v_ax1, v_ax2, T.int64(0)])

        @R.function
        def main(x: R.Tensor((1, 2, 3), dtype="float32"), y: R.Tensor((4, 3, 2, 1), dtype="float32")) -> R.Tensor((4, 3, 2, 3), dtype="float32"):