for (int i = 0; i != block.getNumArguments(); ++i) {
    Value arg = block.getArgument(0);
    Type arg_type = arg.getType();
    Value new_arg = arg;
    Location loc = func.getLoc();
    if (arg.hasOneUse() && llvm::isa<QuantizeOp>(*arg.user_begin())) {
      auto quantize_op = llvm::cast<QuantizeOp>(*arg.user_begin());
      auto quantize_output = quantize_op.getOutput();

    // There are none type values.
    return;
  }
  if (!tensor_type.getElementType().isF32()) return;

  // If the result is consumed by a quantize op, it has been quantized.
  if (value.hasOneUse() &&
      llvm::isa<TFL::QuantizeOp>(*value.getUsers().begin()))
    return;

  // Add this result to the list to apply the default value.
  values->push_back(value);
}