if (!scheduled_something) {
      scheduled_everything = false;
      unscheduled_ops.erase(&*next_unscheduled_op);
      ++next_unscheduled_op;
      ++num_unscheduled_ops;
    }
  }
  emitRemark(func.getLoc(), func.getName())
      << ": " << num_part_ops << " ops delegated out of " << num_all_ops
      << " ops with " << num_partitions_after
      << " partitions (originally: " << num_partitions_before << ")";

    QuantizedType quant_type;
    DenseFPElementsAttr attr;
    if (!matchPattern(op->getResult(0), m_Constant(&attr))) return false;

    if (attr.size() < quant_specs_.minimum_elements_for_weights) {
      op->emitRemark("Quantization is skipped for ")
          << quantized_op->getName().getStringRef().str() << " because it has "
          << mlir::dyn_cast<DenseFPElementsAttr>(attr).size()

}

void EmitValueConstraintsRemarks(const ValuesConstraintSet &constraints) {
  constraints.Walk([](Value value, ValueConstraint constraint) {
    for (OpOperand &operand : value.getUses())
      operand.getOwner()->emitRemark(
          llvm::formatv("operand #{0} constrained to: {1}",
                        operand.getOperandNumber(), constraint));
  });
}

void EmitInputsConstraintsRemarks(func::FuncOp func,

    if (!matchPattern(op->getResult(0), m_Constant(&attr))) return false;

    if (mlir::dyn_cast<DenseFPElementsAttr>(attr).size() <
        quant_specs_.minimum_elements_for_weights) {
      op->emitRemark("Quantization is skipped for ")
          << quantize_op->getName().getStringRef().str() << " because it has "
          << mlir::dyn_cast<DenseFPElementsAttr>(attr).size()