}
  auto mins = tensor.quantization->min;
  auto maxs = tensor.quantization->max;
  if (mins.size() != maxs.size() || mins.empty()) return nullptr;

  llvm::SmallVector<llvm::APFloat, 4> min_maxs;
  min_maxs.reserve(mins.size() * 2);
  for (int i = 0, end = mins.size(); i < end; ++i) {
    llvm::APFloat min(mins[i]);
    llvm::APFloat max(maxs[i]);
    min_maxs.push_back(min);
    min_maxs.push_back(max);
  }

                 element_type)) {
    std::vector<float> mins = {static_cast<float>(qtype.getMin())};
    std::vector<float> maxs = {static_cast<float>(qtype.getMax())};
    q_params = tflite::CreateQuantizationParameters(
        builder_, builder_.CreateVector<float>(mins),
        builder_.CreateVector<float>(maxs));
  }
  return tflite::CreateTensor(
      builder_, builder_.CreateVector(shape), tflite_element_type,

		{name: "FMAXD", argLength: 2, reg: fp21, asm: "FMAXD"},                                // max(arg0, arg1)
		{name: "FMAXS", argLength: 2, reg: fp21, asm: "FMAXS"},                                // max(arg0, arg1)
		{name: "REV", argLength: 1, reg: gp11, asm: "REV"},                                    // byte reverse, 64-bit

				{0, 9223372034707292160}, // F0 F1 F2 F3 F4 F5 F6 F7 F8 F9 F10 F11 F12 F13 F14 F15 F16 F17 F18 F19 F20 F21 F22 F23 F24 F25 F26 F27 F28 F29 F30 F31
			},
		},
	},
	{
		name:   "FMAXS",
		argLen: 2,
		asm:    arm64.AFMAXS,
		reg: regInfo{
			inputs: []inputInfo{