blob: 8a9f85281876747259a2c6294f7e9b4bab5d79a8 [file] [log] [blame]
//! Cost functions for egraph representation.
use crate::ir::Opcode;
/// A cost of computing some value in the program.
///
/// Costs are measured in an arbitrary union that we represent in a
/// `u32`. The ordering is meant to be meaningful, but the value of a
/// single unit is arbitrary (and "not to scale"). We use a collection
/// of heuristics to try to make this approximation at least usable.
///
/// We start by defining costs for each opcode (see `pure_op_cost`
/// below). The cost of computing some value, initially, is the cost
/// of its opcode, plus the cost of computing its inputs.
///
/// We then adjust the cost according to loop nests: for each
/// loop-nest level, we multiply by 1024. Because we only have 32
/// bits, we limit this scaling to a loop-level of two (i.e., multiply
/// by 2^20 ~= 1M).
///
/// Arithmetic on costs is always saturating: we don't want to wrap
/// around and return to a tiny cost when adding the costs of two very
/// expensive operations. It is better to approximate and lose some
/// precision than to lose the ordering by wrapping.
///
/// Finally, we reserve the highest value, `u32::MAX`, as a sentinel
/// that means "infinite". This is separate from the finite costs and
/// not reachable by doing arithmetic on them (even when overflowing)
/// -- we saturate just *below* infinity. (This is done by the
/// `finite()` method.) An infinite cost is used to represent a value
/// that cannot be computed, or otherwise serve as a sentinel when
/// performing search for the lowest-cost representation of a value.
#[derive(Clone, Copy, Debug, PartialEq, Eq, PartialOrd, Ord)]
pub(crate) struct Cost(u32);
impl Cost {
pub(crate) fn at_level(&self, loop_level: usize) -> Cost {
let loop_level = std::cmp::min(2, loop_level);
let multiplier = 1u32 << ((10 * loop_level) as u32);
Cost(self.0.saturating_mul(multiplier)).finite()
}
pub(crate) fn infinity() -> Cost {
// 2^32 - 1 is, uh, pretty close to infinite... (we use `Cost`
// only for heuristics and always saturate so this suffices!)
Cost(u32::MAX)
}
pub(crate) fn zero() -> Cost {
Cost(0)
}
/// Clamp this cost at a "finite" value. Can be used in
/// conjunction with saturating ops to avoid saturating into
/// `infinity()`.
fn finite(self) -> Cost {
Cost(std::cmp::min(u32::MAX - 1, self.0))
}
}
impl std::default::Default for Cost {
fn default() -> Cost {
Cost::zero()
}
}
impl std::ops::Add<Cost> for Cost {
type Output = Cost;
fn add(self, other: Cost) -> Cost {
Cost(self.0.saturating_add(other.0)).finite()
}
}
/// Return the cost of a *pure* opcode. Caller is responsible for
/// checking that the opcode came from an instruction that satisfies
/// `inst_predicates::is_pure_for_egraph()`.
pub(crate) fn pure_op_cost(op: Opcode) -> Cost {
match op {
// Constants.
Opcode::Iconst | Opcode::F32const | Opcode::F64const => Cost(0),
// Extends/reduces.
Opcode::Uextend | Opcode::Sextend | Opcode::Ireduce | Opcode::Iconcat | Opcode::Isplit => {
Cost(1)
}
// "Simple" arithmetic.
Opcode::Iadd
| Opcode::Isub
| Opcode::Band
| Opcode::BandNot
| Opcode::Bor
| Opcode::BorNot
| Opcode::Bxor
| Opcode::BxorNot
| Opcode::Bnot => Cost(2),
// Everything else (pure.)
_ => Cost(3),
}
}