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Use range for in normalizeValInst [NFCI] 

llvm-svn: 335971
This commit is contained in:
Tobias Grosser 2018-06-29 13:06:44 +00:00
parent 1696e48e79
commit d43114f880
1 changed files with 21 additions and 23 deletions
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44
polly/lib/Transform/ZoneAlgo.cpp
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@ -840,33 +840,31 @@ static isl::union_map normalizeValInst(isl::union_map Input,
const DenseSet<PHINode *> &ComputedPHIs,
isl::union_map NormalizeMap) {
isl::union_map Result = isl::union_map::empty(Input.get_space());
Input.foreach_map(
[&Result, &ComputedPHIs, &NormalizeMap](isl::map Map) -> isl::stat {
isl::space Space = Map.get_space();
isl::space RangeSpace = Space.range();
for (isl::map Map : Input.get_map_list()) {
isl::space Space = Map.get_space();
isl::space RangeSpace = Space.range();
// Instructions within the SCoP are always wrapped. Non-wrapped tuples
// are therefore invariant in the SCoP and don't need normalization.
if (!RangeSpace.is_wrapping()) {
Result = Result.add_map(Map);
return isl::stat::ok;
}
// Instructions within the SCoP are always wrapped. Non-wrapped tuples
// are therefore invariant in the SCoP and don't need normalization.
if (!RangeSpace.is_wrapping()) {
Result = Result.add_map(Map);
continue;
}
auto *PHI = dyn_cast<PHINode>(static_cast<Value *>(
RangeSpace.unwrap().get_tuple_id(isl::dim::out).get_user()));
auto *PHI = dyn_cast<PHINode>(static_cast<Value *>(
RangeSpace.unwrap().get_tuple_id(isl::dim::out).get_user()));
// If no normalization is necessary, then the ValInst stands for itself.
if (!ComputedPHIs.count(PHI)) {
Result = Result.add_map(Map);
return isl::stat::ok;
}
// If no normalization is necessary, then the ValInst stands for itself.
if (!ComputedPHIs.count(PHI)) {
Result = Result.add_map(Map);
continue;
}
// Otherwise, apply the normalization.
isl::union_map Mapped = isl::union_map(Map).apply_range(NormalizeMap);
Result = Result.unite(Mapped);
NumPHINormialization++;
return isl::stat::ok;
});
// Otherwise, apply the normalization.
isl::union_map Mapped = isl::union_map(Map).apply_range(NormalizeMap);
Result = Result.unite(Mapped);
NumPHINormialization++;
}
return Result;
}