[mlir][sparse] using stable_sort to make sure the compiled code are consistent between different builds configuration

mlir/lib/Dialect/SparseTensor/Transforms/LoopEmitter.cpp

if (!dependentLvlMap[t][l].empty())
       isUnRedu = !depFullyReduced(t, l);
 
     auto &dstVec = isSparse ? spConds : dnConds;
     dstVec.emplace_back(
         makeTensorLevel(t, l),
         makeLoopCondKind(isSparse, isSlice, isAffine, isUnRedu));
   }
 
-  std::sort(spConds.begin(), spConds.end(), [](auto lhs, auto rhs) {
+  std::stable_sort(spConds.begin(), spConds.end(), [](auto lhs, auto rhs) {
     // AffineUnRed > Affine > Slice > Trivial
     return static_cast<uint8_t>(lhs.second) > static_cast<uint8_t>(rhs.second);
   });
 }
 
 void LoopEmitter::enterNewLoopSeq(OpBuilder &builder, Location loc,
                                   ArrayRef<TensorLevel> tidLvls) {
   // TODO: sort