private:
/// Initialize flow function blocks, jumps and misc metadata.
- void initFunction(FlowFunction &Func,
- const std::vector<const BasicBlockT *> &BasicBlocks,
- DenseMap<const BasicBlockT *, uint64_t> &BlockIndex);
+ FlowFunction
+ createFlowFunction(const std::vector<const BasicBlockT *> &BasicBlocks,
+ DenseMap<const BasicBlockT *, uint64_t> &BlockIndex);
/// Try to infer branch probabilities mimicking implementation of
/// BranchProbabilityInfo. Unlikely taken branches are marked so that the
}
// Create necessary objects
- FlowFunction Func;
- initFunction(Func, BasicBlocks, BlockIndex);
+ FlowFunction Func = createFlowFunction(BasicBlocks, BlockIndex);
// Create and apply the inference network model.
applyFlowInference(Func);
}
template <typename BT>
-void SampleProfileInference<BT>::initFunction(
- FlowFunction &Func, const std::vector<const BasicBlockT *> &BasicBlocks,
+FlowFunction SampleProfileInference<BT>::createFlowFunction(
+ const std::vector<const BasicBlockT *> &BasicBlocks,
DenseMap<const BasicBlockT *, uint64_t> &BlockIndex) {
+ FlowFunction Func;
Func.Blocks.reserve(BasicBlocks.size());
// Create FlowBlocks
for (const auto *BB : BasicBlocks) {
EntryBlock.Weight = 1;
EntryBlock.HasUnknownWeight = false;
}
+
+ return Func;
}
template <typename BT>