}

void TF_SetAttrString(TF_OperationDescription* desc, const char* attr_name,
                      const void* value, size_t length) {
  tensorflow::StringPiece s(static_cast<const char*>(value), length);
  desc->node_builder.Attr(attr_name, s);
}

void TF_SetAttrStringList(TF_OperationDescription* desc, const char* attr_name,
                          const void* const* values, const size_t* lengths,

  TFL::QConstOp GetBiasOp(
      stablehlo::ConvolutionOp op, PatternRewriter& rewriter,
      const RankedTensorType new_filter_result_type,
      const UniformQuantizedPerAxisType new_filter_quantized_type,
      const SmallVector<int64_t, 1> bias_shape, const bool has_i32_output,
      const bool fuse_bias_constant) const {
    const SmallVector<double> bias_scales = GetBiasScales(
        /*input_scale=*/GetElementType(op.getOperand(0))

TF_ATTRIBUTE_NOINLINE Status BuildHostGraphForIfNode(
    const string& xla_cluster_attr_name,
    const string& outside_compilation_attr_name, const string& xla_cluster_name,
    const string& if_node_name, const string& host_transfer_key,
    const string& host_graph_func_name, FunctionLibraryDefinition* fld,
    const string& then_branch_host_func_name,
    const string& else_branch_host_func_name) {
  Graph host_graph(fld);

}

template <class Tkey, class Tvalue>
bool EqualProtoMap(const ::tensorflow::protobuf::Map<Tkey, Tvalue>& a,
                   const ::tensorflow::protobuf::Map<Tkey, Tvalue>& b,
                   const std::function<string(const Tkey&)>& key_to_string,
                   const std::function<string(const Tvalue&)>& value_to_string,
                   const std::function<bool(const Tkey&, const Tvalue&,

      mlir::MLIRContext* context, const Graph& graph,
      const GraphDebugInfo& debug_info,
      const FunctionLibraryDefinition& flib_def, const GraphImportConfig& specs,
      std::unordered_map<std::string, std::string>& tf_name_to_mlir_name,
      bool disable_crash_analysis = false);

 private:
  explicit GraphDefImporter(
      const FunctionLibraryDefinition& flib, const GraphDebugInfo& debug_info,

      const std::vector<int32_t>& results);

  BufferOffset<tflite::Operator> BuildCustomOperator(
      Operation* inst, mlir::TFL::CustomOp op,
      const std::vector<int32_t>& operands,
      const std::vector<int32_t>& results);

  std::optional<CustomOptionsOffset> CreateFlexOpCustomOptions(
      const ::tensorflow::NodeDef& node_def, const mlir::Location& loc);

type IpAddrString struct {
	Next      *IpAddrString
	IpAddress IpAddressString
	IpMask    IpMaskString
	Context   uint32
}

const MAX_ADAPTER_NAME_LENGTH = 256
const MAX_ADAPTER_DESCRIPTION_LENGTH = 128
const MAX_ADAPTER_ADDRESS_LENGTH = 8

type IpAdapterInfo struct {
	Next                *IpAdapterInfo
	ComboIndex          uint32

  %0 = "tf.Const"() {value = dense<[4, 2]> : tensor<2xi32>} : () -> tensor<2xi32>
  %1 = "tf.Const"() {value = dense<2> : tensor<1xi32>} : () -> tensor<1xi32>
  %2 = "tf.Const"() {value = dense<0> : tensor<1x1x2x1xi32>} : () -> tensor<1x1x2x1xi32>
  %3 = "tf.Const"() {value = dense<[1, 2, 4, 1]> : tensor<4xi32>} : () -> tensor<4xi32>
  %4 = "tf.Const"() {value = dense<4> : tensor<i32>} : () -> tensor<i32>

getOffsetRectRelativeToArbitraryNode(children, parent, fixedPosition = false) {\n  const isIE10 = runIsIE(10);\n  const isHTML = parent.nodeName === 'HTML';\n  const childrenRect = getBoundingClientRect(children);\n  const parentRect = getBoundingClientRect(parent);\n  const scrollParent = getScrollParent(children);\n\n  const styles = getStyleComputedProperty(parent);\n  const borderTopWidth = parseFloat(styles.borderTopWidth, 10);\n  const borderLeftWidth = parseFloat(styles.borderLeftWidth, 10);\n\n  // In...

    %cst = "tf.Const"() {value = dense<0> : tensor<1x2xi32>} : () -> tensor<1x2xi32>
    %cst_0 = "tf.Const"() {value = dense<1> : tensor<1xi32>} : () -> tensor<1xi32>
    %cst_1 = "tf.Const"() {value = dense<2> : tensor<1xi32>} : () -> tensor<1xi32>
    %cst_2 = "tf.Const"() {value = dense<3> : tensor<1xi32>} : () -> tensor<1xi32>
    %cst_3 = "tf.Const"() {value = dense<4> : tensor<1xi32>} : () -> tensor<1xi32>