llvm::StringMap<Attribute>& identifier_to_attr,
    tensorflow::quantization::QuantizationMethod::PresetMethod
        quantization_method,
    bool enable_per_channel_quantization);

LogicalResult FillAttributesForUniformQuantizedConvolutionOp(
    PatternRewriter& rewriter, Operation* op,
    llvm::StringMap<Attribute>& identifier_to_attr,
    tensorflow::quantization::QuantizationMethod::PresetMethod
        quantization_method,

  op->setAttrs(rewriter.getDictionaryAttr(attrs));

  return success();
}

// This LogicalResult covers both the hybrid and fully quantized op cases.
LogicalResult FillAttributesForUniformQuantizedConvolutionOp(
    PatternRewriter& rewriter, Operation* op,
    llvm::StringMap<Attribute>& identifier_to_attr,
    QuantMethod quantization_method, bool enable_per_channel_quantization) {
  NamedAttrList attrs;

    if (auto uniform_op =
            llvm::dyn_cast<TF::UniformQuantizedConvolutionHybridOp>(inner_op);
        uniform_op != nullptr) {
      if (failed(FillAttributesForUniformQuantizedConvolutionOp(
              rewriter, uniform_op, identifier_to_attr, quantization_method,
              enable_per_channel_quantization)))
        return failure();
    } else if (auto uniform_op =