Use Sparse bitsets instead of dense ones for NLL results

Fixes #48170
This commit is contained in:
Santiago Pastorino 2018-02-15 15:47:40 -03:00
parent e5d79c4bc7
commit ff9eb56c6e
No known key found for this signature in database
GPG Key ID: 88C941CDA1D46432
3 changed files with 224 additions and 11 deletions

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@ -8,7 +8,11 @@
// option. This file may not be copied, modified, or distributed
// except according to those terms.
use std::collections::BTreeMap;
use std::collections::btree_map::Entry;
use std::marker::PhantomData;
use std::iter::FromIterator;
use indexed_vec::{Idx, IndexVec};
type Word = u128;
const WORD_BITS: usize = 128;
@ -257,6 +261,199 @@ impl BitMatrix {
}
}
#[derive(Clone, Debug)]
pub struct SparseBitMatrix<R, C> where R: Idx, C: Idx {
vector: IndexVec<R, SparseBitSet<C>>,
}
impl<R: Idx, C: Idx> SparseBitMatrix<R, C> {
/// Create a new `rows x columns` matrix, initially empty.
pub fn new(rows: R, _columns: C) -> SparseBitMatrix<R, C> {
SparseBitMatrix {
vector: IndexVec::from_elem_n(SparseBitSet::new(), rows.index()),
}
}
/// Sets the cell at `(row, column)` to true. Put another way, insert
/// `column` to the bitset for `row`.
///
/// Returns true if this changed the matrix, and false otherwise.
pub fn add(&mut self, row: R, column: C) -> bool {
self.vector[row].insert(column)
}
/// Do the bits from `row` contain `column`? Put another way, is
/// the matrix cell at `(row, column)` true? Put yet another way,
/// if the matrix represents (transitive) reachability, can
/// `row` reach `column`?
pub fn contains(&self, row: R, column: C) -> bool {
self.vector[row].contains(column)
}
/// Add the bits from row `read` to the bits from row `write`,
/// return true if anything changed.
///
/// This is used when computing transitive reachability because if
/// you have an edge `write -> read`, because in that case
/// `write` can reach everything that `read` can (and
/// potentially more).
pub fn merge(&mut self, read: R, write: R) -> bool {
let mut changed = false;
if read != write {
let (bit_set_read, bit_set_write) = self.vector.pick2_mut(read, write);
for read_val in bit_set_read.iter() {
changed = changed | bit_set_write.insert(read_val);
}
}
changed
}
/// Iterates through all the columns set to true in a given row of
/// the matrix.
pub fn iter<'a>(&'a self, row: R) -> impl Iterator<Item = C> + 'a {
self.vector[row].iter()
}
}
#[derive(Clone, Debug)]
pub struct SparseBitSet<I: Idx> {
chunk_bits: BTreeMap<u32, Word>,
_marker: PhantomData<I>,
}
#[derive(Copy, Clone)]
pub struct SparseChunk<I> {
key: u32,
bits: Word,
_marker: PhantomData<I>,
}
impl<I: Idx> SparseChunk<I> {
pub fn one(index: I) -> Self {
let index = index.index();
let key_usize = index / 128;
let key = key_usize as u32;
assert_eq!(key as usize, key_usize);
SparseChunk {
key,
bits: 1 << (index % 128),
_marker: PhantomData
}
}
pub fn any(&self) -> bool {
self.bits != 0
}
pub fn iter(&self) -> impl Iterator<Item = I> {
let base = self.key as usize * 128;
let mut bits = self.bits;
(0..128).map(move |i| {
let current_bits = bits;
bits >>= 1;
(i, current_bits)
}).take_while(|&(_, bits)| bits != 0)
.filter_map(move |(i, bits)| {
if (bits & 1) != 0 {
Some(I::new(base + i))
} else {
None
}
})
}
}
impl<I: Idx> SparseBitSet<I> {
pub fn new() -> Self {
SparseBitSet {
chunk_bits: BTreeMap::new(),
_marker: PhantomData
}
}
pub fn capacity(&self) -> usize {
self.chunk_bits.len() * 128
}
pub fn contains_chunk(&self, chunk: SparseChunk<I>) -> SparseChunk<I> {
SparseChunk {
bits: self.chunk_bits.get(&chunk.key).map_or(0, |bits| bits & chunk.bits),
..chunk
}
}
pub fn insert_chunk(&mut self, chunk: SparseChunk<I>) -> SparseChunk<I> {
if chunk.bits == 0 {
return chunk;
}
let bits = self.chunk_bits.entry(chunk.key).or_insert(0);
let old_bits = *bits;
let new_bits = old_bits | chunk.bits;
*bits = new_bits;
let changed = new_bits ^ old_bits;
SparseChunk {
bits: changed,
..chunk
}
}
pub fn remove_chunk(&mut self, chunk: SparseChunk<I>) -> SparseChunk<I> {
if chunk.bits == 0 {
return chunk;
}
let changed = match self.chunk_bits.entry(chunk.key) {
Entry::Occupied(mut bits) => {
let old_bits = *bits.get();
let new_bits = old_bits & !chunk.bits;
if new_bits == 0 {
bits.remove();
} else {
bits.insert(new_bits);
}
new_bits ^ old_bits
}
Entry::Vacant(_) => 0
};
SparseChunk {
bits: changed,
..chunk
}
}
pub fn clear(&mut self) {
self.chunk_bits.clear();
}
pub fn chunks<'a>(&'a self) -> impl Iterator<Item = SparseChunk<I>> + 'a {
self.chunk_bits.iter().map(|(&key, &bits)| {
SparseChunk {
key,
bits,
_marker: PhantomData
}
})
}
pub fn contains(&self, index: I) -> bool {
self.contains_chunk(SparseChunk::one(index)).any()
}
pub fn insert(&mut self, index: I) -> bool {
self.insert_chunk(SparseChunk::one(index)).any()
}
pub fn remove(&mut self, index: I) -> bool {
self.remove_chunk(SparseChunk::one(index)).any()
}
pub fn iter<'a>(&'a self) -> impl Iterator<Item = I> + 'a {
self.chunks().flat_map(|chunk| chunk.iter())
}
}
#[inline]
fn words(elements: usize) -> usize {
(elements + WORD_BITS - 1) / WORD_BITS

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@ -482,6 +482,21 @@ impl<I: Idx, T> IndexVec<I, T> {
pub fn get_mut(&mut self, index: I) -> Option<&mut T> {
self.raw.get_mut(index.index())
}
/// Return mutable references to two distinct elements, a and b. Panics if a == b.
#[inline]
pub fn pick2_mut(&mut self, a: I, b: I) -> (&mut T, &mut T) {
let (ai, bi) = (a.index(), b.index());
assert!(ai != bi);
if ai < bi {
let (c1, c2) = self.raw.split_at_mut(bi);
(&mut c1[ai], &mut c2[0])
} else {
let (c2, c1) = self.pick2_mut(b, a);
(c1, c2)
}
}
}
impl<I: Idx, T: Clone> IndexVec<I, T> {

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@ -9,7 +9,7 @@
// except according to those terms.
use std::rc::Rc;
use rustc_data_structures::bitvec::BitMatrix;
use rustc_data_structures::bitvec::SparseBitMatrix;
use rustc_data_structures::fx::FxHashMap;
use rustc_data_structures::indexed_vec::Idx;
use rustc_data_structures::indexed_vec::IndexVec;
@ -132,7 +132,7 @@ impl RegionValueElements {
}
/// A newtype for the integers that represent one of the possible
/// elements in a region. These are the rows in the `BitMatrix` that
/// elements in a region. These are the rows in the `SparseBitMatrix` that
/// is used to store the values of all regions. They have the following
/// convention:
///
@ -184,18 +184,18 @@ impl ToElementIndex for RegionElementIndex {
}
/// Stores the values for a set of regions. These are stored in a
/// compact `BitMatrix` representation, with one row per region
/// compact `SparseBitMatrix` representation, with one row per region
/// variable. The columns consist of either universal regions or
/// points in the CFG.
#[derive(Clone)]
pub(super) struct RegionValues {
elements: Rc<RegionValueElements>,
matrix: BitMatrix,
matrix: SparseBitMatrix<RegionVid, RegionElementIndex>,
/// If cause tracking is enabled, maps from a pair (r, e)
/// consisting of a region `r` that contains some element `e` to
/// the reason that the element is contained. There should be an
/// entry for every bit set to 1 in `BitMatrix`.
/// entry for every bit set to 1 in `SparseBitMatrix`.
causes: Option<CauseMap>,
}
@ -214,7 +214,8 @@ impl RegionValues {
Self {
elements: elements.clone(),
matrix: BitMatrix::new(num_region_variables, elements.num_elements()),
matrix: SparseBitMatrix::new(RegionVid::new(num_region_variables),
RegionElementIndex::new(elements.num_elements())),
causes: if track_causes.0 {
Some(CauseMap::default())
} else {
@ -238,7 +239,7 @@ impl RegionValues {
where
F: FnOnce(&CauseMap) -> Cause,
{
if self.matrix.add(r.index(), i.index()) {
if self.matrix.add(r, i) {
debug!("add(r={:?}, i={:?})", r, self.elements.to_element(i));
if let Some(causes) = &mut self.causes {
@ -289,7 +290,7 @@ impl RegionValues {
constraint_location: Location,
constraint_span: Span,
) -> bool {
// We could optimize this by improving `BitMatrix::merge` so
// We could optimize this by improving `SparseBitMatrix::merge` so
// it does not always merge an entire row. That would
// complicate causal tracking though.
debug!(
@ -315,7 +316,7 @@ impl RegionValues {
/// True if the region `r` contains the given element.
pub(super) fn contains<E: ToElementIndex>(&self, r: RegionVid, elem: E) -> bool {
let i = self.elements.index(elem);
self.matrix.contains(r.index(), i.index())
self.matrix.contains(r, i)
}
/// Iterate over the value of the region `r`, yielding up element
@ -326,8 +327,8 @@ impl RegionValues {
r: RegionVid,
) -> impl Iterator<Item = RegionElementIndex> + 'a {
self.matrix
.iter(r.index())
.map(move |i| RegionElementIndex::new(i))
.iter(r)
.map(move |i| i)
}
/// Returns just the universal regions that are contained in a given region's value.