path: root/compiler/rustc_codegen_gcc/src/intrinsic/simd.rs

use std::cmp::Ordering;

use gccjit::{BinaryOp, RValue, Type, ToRValue};
use rustc_codegen_ssa::base::compare_simd_types;
use rustc_codegen_ssa::common::TypeKind;
use rustc_codegen_ssa::mir::operand::OperandRef;
use rustc_codegen_ssa::mir::place::PlaceRef;
use rustc_codegen_ssa::traits::{BaseTypeMethods, BuilderMethods};
use rustc_hir as hir;
use rustc_middle::span_bug;
use rustc_middle::ty::layout::HasTyCtxt;
use rustc_middle::ty::{self, Ty};
use rustc_span::{Span, Symbol, sym};
use rustc_target::abi::Align;

use crate::builder::Builder;
use crate::errors::{
    InvalidMonomorphizationInvalidFloatVector,
    InvalidMonomorphizationNotFloat,
    InvalidMonomorphizationUnrecognized,
    InvalidMonomorphizationExpectedSignedUnsigned,
    InvalidMonomorphizationUnsupportedElement,
    InvalidMonomorphizationInvalidBitmask,
    InvalidMonomorphizationSimdShuffle,
    InvalidMonomorphizationExpectedSimd,
    InvalidMonomorphizationMaskType,
    InvalidMonomorphizationReturnLength,
    InvalidMonomorphizationReturnLengthInputType,
    InvalidMonomorphizationReturnElement,
    InvalidMonomorphizationReturnType,
    InvalidMonomorphizationInsertedType,
    InvalidMonomorphizationReturnIntegerType,
    InvalidMonomorphizationMismatchedLengths,
    InvalidMonomorphizationUnsupportedCast,
    InvalidMonomorphizationUnsupportedOperation
};
use crate::intrinsic;

pub fn generic_simd_intrinsic<'a, 'gcc, 'tcx>(bx: &mut Builder<'a, 'gcc, 'tcx>, name: Symbol, callee_ty: Ty<'tcx>, args: &[OperandRef<'tcx, RValue<'gcc>>], ret_ty: Ty<'tcx>, llret_ty: Type<'gcc>, span: Span) -> Result<RValue<'gcc>, ()> {
    // macros for error handling:
    macro_rules! return_error {
        ($err:expr) => {
            {
                bx.sess().emit_err($err);
                return Err(());
            }
        }
    }
    macro_rules! require {
        ($cond:expr, $err:expr) => {
            if !$cond {
                return_error!($err);
            }
        }
    }
    macro_rules! require_simd {
        ($ty: expr, $position: expr) => {
            require!($ty.is_simd(), InvalidMonomorphizationExpectedSimd { span, name, position: $position, found_ty: $ty })
        };
    }

    let tcx = bx.tcx();
    let sig =
        tcx.normalize_erasing_late_bound_regions(ty::ParamEnv::reveal_all(), callee_ty.fn_sig(tcx));
    let arg_tys = sig.inputs();

    if name == sym::simd_select_bitmask {
        require_simd!(arg_tys[1], "argument");
        let (len, _) = arg_tys[1].simd_size_and_type(bx.tcx());

        let expected_int_bits = (len.max(8) - 1).next_power_of_two();
        let expected_bytes = len / 8 + ((len % 8 > 0) as u64);

        let mask_ty = arg_tys[0];
        let mut mask = match mask_ty.kind() {
            ty::Int(i) if i.bit_width() == Some(expected_int_bits) => args[0].immediate(),
            ty::Uint(i) if i.bit_width() == Some(expected_int_bits) => args[0].immediate(),
            ty::Array(elem, len)
                if matches!(elem.kind(), ty::Uint(ty::UintTy::U8))
                    && len.try_eval_usize(bx.tcx, ty::ParamEnv::reveal_all())
                        == Some(expected_bytes) =>
            {
                let place = PlaceRef::alloca(bx, args[0].layout);
                args[0].val.store(bx, place);
                let int_ty = bx.type_ix(expected_bytes * 8);
                let ptr = bx.pointercast(place.llval, bx.cx.type_ptr_to(int_ty));
                bx.load(int_ty, ptr, Align::ONE)
            }
            _ => return_error!(
                InvalidMonomorphizationInvalidBitmask { span, name, ty: mask_ty, expected_int_bits, expected_bytes }
            ),
        };

        let arg1 = args[1].immediate();
        let arg1_type = arg1.get_type();
        let arg1_vector_type = arg1_type.unqualified().dyncast_vector().expect("vector type");
        let arg1_element_type = arg1_vector_type.get_element_type();

        let mut elements = vec![];
        let one = bx.context.new_rvalue_one(mask.get_type());
        for _ in 0..len {
            let element = bx.context.new_cast(None, mask & one, arg1_element_type);
            elements.push(element);
            mask = mask >> one;
        }
        let vector_mask = bx.context.new_rvalue_from_vector(None, arg1_type, &elements);

        return Ok(bx.vector_select(vector_mask, arg1, args[2].immediate()));
    }

    // every intrinsic below takes a SIMD vector as its first argument
    require_simd!(arg_tys[0], "input");
    let in_ty = arg_tys[0];

    let comparison = match name {
        sym::simd_eq => Some(hir::BinOpKind::Eq),
        sym::simd_ne => Some(hir::BinOpKind::Ne),
        sym::simd_lt => Some(hir::BinOpKind::Lt),
        sym::simd_le => Some(hir::BinOpKind::Le),
        sym::simd_gt => Some(hir::BinOpKind::Gt),
        sym::simd_ge => Some(hir::BinOpKind::Ge),
        _ => None,
    };

    let (in_len, in_elem) = arg_tys[0].simd_size_and_type(bx.tcx());
    if let Some(cmp_op) = comparison {
        require_simd!(ret_ty, "return");

        let (out_len, out_ty) = ret_ty.simd_size_and_type(bx.tcx());
        require!(
            in_len == out_len,
            InvalidMonomorphizationReturnLengthInputType { span, name, in_len, in_ty, ret_ty, out_len }
        );
        require!(
            bx.type_kind(bx.element_type(llret_ty)) == TypeKind::Integer,
            InvalidMonomorphizationReturnIntegerType {span, name, ret_ty, out_ty}
        );

        return Ok(compare_simd_types(
            bx,
            args[0].immediate(),
            args[1].immediate(),
            in_elem,
            llret_ty,
            cmp_op,
        ));
    }

    if let Some(stripped) = name.as_str().strip_prefix("simd_shuffle") {
        let n: u64 =
            if stripped.is_empty() {
                // Make sure this is actually an array, since typeck only checks the length-suffixed
                // version of this intrinsic.
                match args[2].layout.ty.kind() {
                    ty::Array(ty, len) if matches!(ty.kind(), ty::Uint(ty::UintTy::U32)) => {
                        len.try_eval_usize(bx.cx.tcx, ty::ParamEnv::reveal_all()).unwrap_or_else(|| {
                            span_bug!(span, "could not evaluate shuffle index array length")
                        })
                    }
                    _ => return_error!(
                        InvalidMonomorphizationSimdShuffle { span, name, ty: args[2].layout.ty }
                    ),
                }
            }
            else {
                stripped.parse().unwrap_or_else(|_| {
                    span_bug!(span, "bad `simd_shuffle` instruction only caught in codegen?")
                })
            };

        require_simd!(ret_ty, "return");

        let (out_len, out_ty) = ret_ty.simd_size_and_type(bx.tcx());
        require!(
            out_len == n,
            InvalidMonomorphizationReturnLength { span, name, in_len: n, ret_ty, out_len }
        );
        require!(
            in_elem == out_ty,
            InvalidMonomorphizationReturnElement { span, name, in_elem, in_ty, ret_ty, out_ty }
        );

        let vector = args[2].immediate();

        return Ok(bx.shuffle_vector(
            args[0].immediate(),
            args[1].immediate(),
            vector,
        ));
    }

    #[cfg(feature="master")]
    if name == sym::simd_insert {
        require!(
            in_elem == arg_tys[2],
            InvalidMonomorphizationInsertedType { span, name, in_elem, in_ty, out_ty: arg_tys[2] }
        );
        let vector = args[0].immediate();
        let index = args[1].immediate();
        let value = args[2].immediate();
        // TODO(antoyo): use a recursive unqualified() here.
        let vector_type = vector.get_type().unqualified().dyncast_vector().expect("vector type");
        let element_type = vector_type.get_element_type();
        // NOTE: we cannot cast to an array and assign to its element here because the value might
        // not be an l-value. So, call a builtin to set the element.
        // TODO(antoyo): perhaps we could create a new vector or maybe there's a GIMPLE instruction for that?
        // TODO(antoyo): don't use target specific builtins here.
        let func_name =
            match in_len {
                2 => {
                    if element_type == bx.i64_type {
                        "__builtin_ia32_vec_set_v2di"
                    }
                    else {
                        unimplemented!();
                    }
                },
                4 => {
                    if element_type == bx.i32_type {
                        "__builtin_ia32_vec_set_v4si"
                    }
                    else {
                        unimplemented!();
                    }
                },
                8 => {
                    if element_type == bx.i16_type {
                        "__builtin_ia32_vec_set_v8hi"
                    }
                    else {
                        unimplemented!();
                    }
                },
                _ => unimplemented!("Len: {}", in_len),
            };
        let builtin = bx.context.get_target_builtin_function(func_name);
        let param1_type = builtin.get_param(0).to_rvalue().get_type();
        // TODO(antoyo): perhaps use __builtin_convertvector for vector casting.
        let vector = bx.cx.bitcast_if_needed(vector, param1_type);
        let result = bx.context.new_call(None, builtin, &[vector, value, bx.context.new_cast(None, index, bx.int_type)]);
        // TODO(antoyo): perhaps use __builtin_convertvector for vector casting.
        return Ok(bx.context.new_bitcast(None, result, vector.get_type()));
    }

    #[cfg(feature="master")]
    if name == sym::simd_extract {
        require!(
            ret_ty == in_elem,
            InvalidMonomorphizationReturnType { span, name, in_elem, in_ty, ret_ty }
        );
        let vector = args[0].immediate();
        return Ok(bx.context.new_vector_access(None, vector, args[1].immediate()).to_rvalue());
    }

    if name == sym::simd_select {
        let m_elem_ty = in_elem;
        let m_len = in_len;
        require_simd!(arg_tys[1], "argument");
        let (v_len, _) = arg_tys[1].simd_size_and_type(bx.tcx());
        require!(
            m_len == v_len,
            InvalidMonomorphizationMismatchedLengths { span, name, m_len, v_len }
        );
        match m_elem_ty.kind() {
            ty::Int(_) => {}
            _ => return_error!(InvalidMonomorphizationMaskType { span, name, ty: m_elem_ty }),
        }
        return Ok(bx.vector_select(args[0].immediate(), args[1].immediate(), args[2].immediate()));
    }

    if name == sym::simd_cast {
        require_simd!(ret_ty, "return");
        let (out_len, out_elem) = ret_ty.simd_size_and_type(bx.tcx());
        require!(
            in_len == out_len,
            InvalidMonomorphizationReturnLengthInputType { span, name, in_len, in_ty, ret_ty, out_len }
        );
        // casting cares about nominal type, not just structural type
        if in_elem == out_elem {
            return Ok(args[0].immediate());
        }

        enum Style {
            Float,
            Int(/* is signed? */ bool),
            Unsupported,
        }

        let (in_style, in_width) = match in_elem.kind() {
            // vectors of pointer-sized integers should've been
            // disallowed before here, so this unwrap is safe.
            ty::Int(i) => (
                Style::Int(true),
                i.normalize(bx.tcx().sess.target.pointer_width).bit_width().unwrap(),
            ),
            ty::Uint(u) => (
                Style::Int(false),
                u.normalize(bx.tcx().sess.target.pointer_width).bit_width().unwrap(),
            ),
            ty::Float(f) => (Style::Float, f.bit_width()),
            _ => (Style::Unsupported, 0),
        };
        let (out_style, out_width) = match out_elem.kind() {
            ty::Int(i) => (
                Style::Int(true),
                i.normalize(bx.tcx().sess.target.pointer_width).bit_width().unwrap(),
            ),
            ty::Uint(u) => (
                Style::Int(false),
                u.normalize(bx.tcx().sess.target.pointer_width).bit_width().unwrap(),
            ),
            ty::Float(f) => (Style::Float, f.bit_width()),
            _ => (Style::Unsupported, 0),
        };

        let extend = |in_type, out_type| {
            let vector_type = bx.context.new_vector_type(out_type, 8);
            let vector = args[0].immediate();
            let array_type = bx.context.new_array_type(None, in_type, 8);
            // TODO(antoyo): switch to using new_vector_access or __builtin_convertvector for vector casting.
            let array = bx.context.new_bitcast(None, vector, array_type);

            let cast_vec_element = |index| {
                let index = bx.context.new_rvalue_from_int(bx.int_type, index);
                bx.context.new_cast(None, bx.context.new_array_access(None, array, index).to_rvalue(), out_type)
            };

            bx.context.new_rvalue_from_vector(None, vector_type, &[
                cast_vec_element(0),
                cast_vec_element(1),
                cast_vec_element(2),
                cast_vec_element(3),
                cast_vec_element(4),
                cast_vec_element(5),
                cast_vec_element(6),
                cast_vec_element(7),
            ])
        };

        match (in_style, out_style) {
            (Style::Int(in_is_signed), Style::Int(_)) => {
                return Ok(match in_width.cmp(&out_width) {
                    Ordering::Greater => bx.trunc(args[0].immediate(), llret_ty),
                    Ordering::Equal => args[0].immediate(),
                    Ordering::Less => {
                        if in_is_signed {
                            match (in_width, out_width) {
                                // FIXME(antoyo): the function _mm_cvtepi8_epi16 should directly
                                // call an intrinsic equivalent to __builtin_ia32_pmovsxbw128 so that
                                // we can generate a call to it.
                                (8, 16) => extend(bx.i8_type, bx.i16_type),
                                (8, 32) => extend(bx.i8_type, bx.i32_type),
                                (8, 64) => extend(bx.i8_type, bx.i64_type),
                                (16, 32) => extend(bx.i16_type, bx.i32_type),
                                (32, 64) => extend(bx.i32_type, bx.i64_type),
                                (16, 64) => extend(bx.i16_type, bx.i64_type),
                                _ => unimplemented!("in: {}, out: {}", in_width, out_width),
                            }
                        } else {
                            match (in_width, out_width) {
                                (8, 16) => extend(bx.u8_type, bx.u16_type),
                                (8, 32) => extend(bx.u8_type, bx.u32_type),
                                (8, 64) => extend(bx.u8_type, bx.u64_type),
                                (16, 32) => extend(bx.u16_type, bx.u32_type),
                                (16, 64) => extend(bx.u16_type, bx.u64_type),
                                (32, 64) => extend(bx.u32_type, bx.u64_type),
                                _ => unimplemented!("in: {}, out: {}", in_width, out_width),
                            }
                        }
                    }
                });
            }
            (Style::Int(_), Style::Float) => {
                // TODO: add support for internal functions in libgccjit to get access to IFN_VEC_CONVERT which is
                // doing like __builtin_convertvector?
                // Or maybe provide convert_vector as an API since it might not easy to get the
                // types of internal functions.
                unimplemented!();
            }
            (Style::Float, Style::Int(_)) => {
                unimplemented!();
            }
            (Style::Float, Style::Float) => {
                unimplemented!();
            }
            _ => { /* Unsupported. Fallthrough. */ }
        }
        return_error!(
            InvalidMonomorphizationUnsupportedCast { span, name, in_ty, in_elem, ret_ty, out_elem }
        );
    }

    macro_rules! arith_binary {
        ($($name: ident: $($($p: ident),* => $call: ident),*;)*) => {
            $(if name == sym::$name {
                match in_elem.kind() {
                    $($(ty::$p(_))|* => {
                        return Ok(bx.$call(args[0].immediate(), args[1].immediate()))
                    })*
                    _ => {},
                }
                return_error!(InvalidMonomorphizationUnsupportedOperation { span, name, in_ty, in_elem })
            })*
        }
    }

    fn simd_simple_float_intrinsic<'gcc, 'tcx>(
        name: Symbol,
        in_elem: Ty<'_>,
        in_ty: Ty<'_>,
        in_len: u64,
        bx: &mut Builder<'_, 'gcc, 'tcx>,
        span: Span,
        args: &[OperandRef<'tcx, RValue<'gcc>>],
    ) -> Result<RValue<'gcc>, ()> {
        macro_rules! return_error {
            ($err:expr) => {
                {
                    bx.sess().emit_err($err);
                    return Err(());
                }
            }
        }
        let (elem_ty_str, elem_ty) =
            if let ty::Float(f) = in_elem.kind() {
                let elem_ty = bx.cx.type_float_from_ty(*f);
                match f.bit_width() {
                    32 => ("f32", elem_ty),
                    64 => ("f64", elem_ty),
                    _ => {
                        return_error!(InvalidMonomorphizationInvalidFloatVector { span, name, elem_ty: f.name_str(), vec_ty: in_ty });
                    }
                }
            }
            else {
                return_error!(InvalidMonomorphizationNotFloat { span, name, ty: in_ty });
            };

        let vec_ty = bx.cx.type_vector(elem_ty, in_len);

        let (intr_name, fn_ty) =
            match name {
                sym::simd_ceil => ("ceil", bx.type_func(&[vec_ty], vec_ty)),
                sym::simd_fabs => ("fabs", bx.type_func(&[vec_ty], vec_ty)), // TODO(antoyo): pand with 170141183420855150465331762880109871103
                sym::simd_fcos => ("cos", bx.type_func(&[vec_ty], vec_ty)),
                sym::simd_fexp2 => ("exp2", bx.type_func(&[vec_ty], vec_ty)),
                sym::simd_fexp => ("exp", bx.type_func(&[vec_ty], vec_ty)),
                sym::simd_flog10 => ("log10", bx.type_func(&[vec_ty], vec_ty)),
                sym::simd_flog2 => ("log2", bx.type_func(&[vec_ty], vec_ty)),
                sym::simd_flog => ("log", bx.type_func(&[vec_ty], vec_ty)),
                sym::simd_floor => ("floor", bx.type_func(&[vec_ty], vec_ty)),
                sym::simd_fma => ("fma", bx.type_func(&[vec_ty, vec_ty, vec_ty], vec_ty)),
                sym::simd_fpowi => ("powi", bx.type_func(&[vec_ty, bx.type_i32()], vec_ty)),
                sym::simd_fpow => ("pow", bx.type_func(&[vec_ty, vec_ty], vec_ty)),
                sym::simd_fsin => ("sin", bx.type_func(&[vec_ty], vec_ty)),
                sym::simd_fsqrt => ("sqrt", bx.type_func(&[vec_ty], vec_ty)),
                sym::simd_round => ("round", bx.type_func(&[vec_ty], vec_ty)),
                sym::simd_trunc => ("trunc", bx.type_func(&[vec_ty], vec_ty)),
                _ => return_error!(InvalidMonomorphizationUnrecognized { span, name })
            };
        let llvm_name = &format!("llvm.{0}.v{1}{2}", intr_name, in_len, elem_ty_str);
        let function = intrinsic::llvm::intrinsic(llvm_name, &bx.cx);
        let function: RValue<'gcc> = unsafe { std::mem::transmute(function) };
        let c = bx.call(fn_ty, None, function, &args.iter().map(|arg| arg.immediate()).collect::<Vec<_>>(), None);
        Ok(c)
    }

    if std::matches!(
        name,
        sym::simd_ceil
            | sym::simd_fabs
            | sym::simd_fcos
            | sym::simd_fexp2
            | sym::simd_fexp
            | sym::simd_flog10
            | sym::simd_flog2
            | sym::simd_flog
            | sym::simd_floor
            | sym::simd_fma
            | sym::simd_fpow
            | sym::simd_fpowi
            | sym::simd_fsin
            | sym::simd_fsqrt
            | sym::simd_round
            | sym::simd_trunc
    ) {
        return simd_simple_float_intrinsic(name, in_elem, in_ty, in_len, bx, span, args);
    }

    arith_binary! {
        simd_add: Uint, Int => add, Float => fadd;
        simd_sub: Uint, Int => sub, Float => fsub;
        simd_mul: Uint, Int => mul, Float => fmul;
        simd_div: Uint => udiv, Int => sdiv, Float => fdiv;
        simd_rem: Uint => urem, Int => srem, Float => frem;
        simd_shl: Uint, Int => shl;
        simd_shr: Uint => lshr, Int => ashr;
        simd_and: Uint, Int => and;
        simd_or: Uint, Int => or; // FIXME(antoyo): calling `or` might not work on vectors.
        simd_xor: Uint, Int => xor;
    }

    macro_rules! arith_unary {
        ($($name: ident: $($($p: ident),* => $call: ident),*;)*) => {
            $(if name == sym::$name {
                match in_elem.kind() {
                    $($(ty::$p(_))|* => {
                        return Ok(bx.$call(args[0].immediate()))
                    })*
                    _ => {},
                }
                return_error!(InvalidMonomorphizationUnsupportedOperation { span, name, in_ty, in_elem })
            })*
        }
    }

    arith_unary! {
        simd_neg: Int => neg, Float => fneg;
    }

    #[cfg(feature="master")]
    if name == sym::simd_saturating_add || name == sym::simd_saturating_sub {
        let lhs = args[0].immediate();
        let rhs = args[1].immediate();
        let is_add = name == sym::simd_saturating_add;
        let ptr_bits = bx.tcx().data_layout.pointer_size.bits() as _;
        let (signed, elem_width, elem_ty) = match *in_elem.kind() {
            ty::Int(i) => (true, i.bit_width().unwrap_or(ptr_bits), bx.cx.type_int_from_ty(i)),
            ty::Uint(i) => (false, i.bit_width().unwrap_or(ptr_bits), bx.cx.type_uint_from_ty(i)),
            _ => {
                return_error!(InvalidMonomorphizationExpectedSignedUnsigned {
                    span,
                    name,
                    elem_ty: arg_tys[0].simd_size_and_type(bx.tcx()).1,
                    vec_ty: arg_tys[0],
                });
            }
        };
        let builtin_name =
            match (signed, is_add, in_len, elem_width) {
                (true, true, 32, 8) => "__builtin_ia32_paddsb256", // TODO(antoyo): cast arguments to unsigned.
                (false, true, 32, 8) => "__builtin_ia32_paddusb256",
                (true, true, 16, 16) => "__builtin_ia32_paddsw256",
                (false, true, 16, 16) => "__builtin_ia32_paddusw256",
                (true, false, 16, 16) => "__builtin_ia32_psubsw256",
                (false, false, 16, 16) => "__builtin_ia32_psubusw256",
                (true, false, 32, 8) => "__builtin_ia32_psubsb256",
                (false, false, 32, 8) => "__builtin_ia32_psubusb256",
                _ => unimplemented!("signed: {}, is_add: {}, in_len: {}, elem_width: {}", signed, is_add, in_len, elem_width),
            };
        let vec_ty = bx.cx.type_vector(elem_ty, in_len as u64);

        let func = bx.context.get_target_builtin_function(builtin_name);
        let param1_type = func.get_param(0).to_rvalue().get_type();
        let param2_type = func.get_param(1).to_rvalue().get_type();
        let lhs = bx.cx.bitcast_if_needed(lhs, param1_type);
        let rhs = bx.cx.bitcast_if_needed(rhs, param2_type);
        let result = bx.context.new_call(None, func, &[lhs, rhs]);
        // TODO(antoyo): perhaps use __builtin_convertvector for vector casting.
        return Ok(bx.context.new_bitcast(None, result, vec_ty));
    }

    macro_rules! arith_red {
        ($name:ident : $vec_op:expr, $float_reduce:ident, $ordered:expr, $op:ident,
         $identity:expr) => {
            if name == sym::$name {
                require!(
                    ret_ty == in_elem,
                    InvalidMonomorphizationReturnType { span, name, in_elem, in_ty, ret_ty }
                );
                return match in_elem.kind() {
                    ty::Int(_) | ty::Uint(_) => {
                        let r = bx.vector_reduce_op(args[0].immediate(), $vec_op);
                        if $ordered {
                            // if overflow occurs, the result is the
                            // mathematical result modulo 2^n:
                            Ok(bx.$op(args[1].immediate(), r))
                        }
                        else {
                            Ok(bx.vector_reduce_op(args[0].immediate(), $vec_op))
                        }
                    }
                    ty::Float(_) => {
                        if $ordered {
                            // ordered arithmetic reductions take an accumulator
                            let acc = args[1].immediate();
                            Ok(bx.$float_reduce(acc, args[0].immediate()))
                        }
                        else {
                            Ok(bx.vector_reduce_op(args[0].immediate(), $vec_op))
                        }
                    }
                    _ => return_error!(InvalidMonomorphizationUnsupportedElement { span, name, in_ty, elem_ty: in_elem, ret_ty }),
                };
            }
        };
    }

    arith_red!(
        simd_reduce_add_unordered: BinaryOp::Plus,
        vector_reduce_fadd_fast,
        false,
        add,
        0.0 // TODO: Use this argument.
    );
    arith_red!(
        simd_reduce_mul_unordered: BinaryOp::Mult,
        vector_reduce_fmul_fast,
        false,
        mul,
        1.0
    );

    macro_rules! minmax_red {
        ($name:ident: $reduction:ident) => {
            if name == sym::$name {
                require!(
                    ret_ty == in_elem,
                    InvalidMonomorphizationReturnType { span, name, in_elem, in_ty, ret_ty }
                );
                return match in_elem.kind() {
                    ty::Int(_) | ty::Uint(_) | ty::Float(_) => Ok(bx.$reduction(args[0].immediate())),
                    _ => return_error!(InvalidMonomorphizationUnsupportedElement { span, name, in_ty, elem_ty: in_elem, ret_ty }),
                };
            }
        };
    }

    minmax_red!(simd_reduce_min: vector_reduce_min);
    minmax_red!(simd_reduce_max: vector_reduce_max);

    macro_rules! bitwise_red {
        ($name:ident : $op:expr, $boolean:expr) => {
            if name == sym::$name {
                let input = if !$boolean {
                    require!(
                        ret_ty == in_elem,
                        InvalidMonomorphizationReturnType { span, name, in_elem, in_ty, ret_ty }
                    );
                    args[0].immediate()
                } else {
                    match in_elem.kind() {
                        ty::Int(_) | ty::Uint(_) => {}
                        _ => return_error!(InvalidMonomorphizationUnsupportedElement { span, name, in_ty, elem_ty: in_elem, ret_ty }),
                    }

                    // boolean reductions operate on vectors of i1s:
                    let i1 = bx.type_i1();
                    let i1xn = bx.type_vector(i1, in_len as u64);
                    bx.trunc(args[0].immediate(), i1xn)
                };
                return match in_elem.kind() {
                    ty::Int(_) | ty::Uint(_) => {
                        let r = bx.vector_reduce_op(input, $op);
                        Ok(if !$boolean { r } else { bx.zext(r, bx.type_bool()) })
                    }
                    _ => return_error!(
                        InvalidMonomorphizationUnsupportedElement { span, name, in_ty, elem_ty: in_elem, ret_ty }
                    ),
                };
            }
        };
    }

    bitwise_red!(simd_reduce_and: BinaryOp::BitwiseAnd, false);
    bitwise_red!(simd_reduce_or: BinaryOp::BitwiseOr, false);

    unimplemented!("simd {}", name);
}