}

    // 2. Quantize collected ops.
    if (!QuantizeOps(rewriter, op, quantizable_ops)) {
      return failure();
    }

    // 3. Complete the Q-DQ pair for each inference type.
    if (!ConvertToFloat16Constant(rewriter, op)) {
      return failure();
    }
    return success();
  }

 private:
  const QuantizationComponentSpec quantization_component_spec_;

        (setAsymmetricQuantizeInputAttr(rewriter, quantizable_ops))) {
      return failure();
    }
    if (quant_specs_.inference_type == tensorflow::DT_HALF &&
        (convertToFloat16Constant(rewriter, op))) {
      return failure();
    }

    return success();
  }

 private:
  llvm::SetVector<Operation*>* const visited_nonquantizable_ops_;