explicit ObjectNames(const SavedObjectGraph& object_graph,
                       absl::Span<std::string> exported_names);

  // Gets the names that external users of the SavedModel can use to refer to
  // this node.
  llvm::ArrayRef<llvm::StringRef> GetExportedNames(int node_id) const;

  // Gets the name in the module symbol table for this node.
  // This name is only used for internal IR references.

  // Verify that module has a function named main.
  FuncOp main_fn = module.lookupSymbol<FuncOp>("main");
  if (!main_fn) {
    int entry_func_count = 0;
    for (auto fn : module.getOps<FuncOp>()) {
      auto attrs = fn->getAttrOfType<mlir::DictionaryAttr>("tf.entry_function");
      if (attrs && !attrs.empty()) {
        ++entry_func_count;
      }
    }

// "third_party/tensorflow/compiler/mlir/tensorflow/ir/tf_ops_n_z.cc" is
// resolved
LogicalResult PrecheckForXlaConvV2Op(XlaConvV2Op op) {
  auto input_tensor = op.getLhs();
  auto kernel_tensor = op.getRhs();
  auto window_strides = op.getWindowStrides();
  auto padding = op.getPadding();
  auto lhs_dilation = op.getLhsDilation();
  auto rhs_dilation = op.getRhsDilation();

    if (!mlir::cast<ShapedType>(conv_op.getRhs().getType()).hasStaticShape()) {
      return false;
    }
    if (!mlir::cast<ShapedType>(conv_op.getLhs().getType()).hasStaticShape() &&
        !mlir::cast<ShapedType>(conv_op.getType()).hasStaticShape()) {
      auto dnums = conv_op.getDimensionNumbers();
      auto lhs_type = mlir::cast<ShapedType>(conv_op.getLhs().getType());

    Value constant_val = add_op ? add_op.getRhs() : sub_op.getRhs();
    if (!matchPattern(constant_val, m_Constant(&added_value))) return failure();

    // Check the add op is applied to begin.
    mlir::TypedValue<::mlir::TensorType> begin_tensor =
        strided_slice_op.getBegin();
    mlir::TypedValue<::mlir::TensorType> add_source_tensor =
        add_op ? add_op.getLhs() : sub_op.getLhs();
    if (begin_tensor != add_source_tensor) {

turn xt(t.selItem,e)}},events:[{name:"itemshown",self:!0,el:function(){return this.item},handler:function(){Ve(this.$el,this.getCss(.5))}},{name:"itemin itemout",self:!0,el:function(){return this.item},handler:function(t){var e=t.type,i=t.detail,n=i.percent,r=i.duration,o=i.timing,s=i.dir;Ze.cancel(this.$el),Ve(this.$el,this.getCss(co(e,s,n))),Ze.start(this.$el,this.getCss(uo(e)?.5:0<s?1:0),r,o).catch(et)}},{name:"transitioncanceled transitionend",self:!0,el:function(){return this.item},handler:...

		}
	}

	getAndWriteCPUs := func() {
		if query.Get("syscpu") == "true" {
			localCPUInfo := madmin.GetCPUs(healthCtx, globalLocalNodeName)
			anonymizeAddr(&localCPUInfo)
			healthInfo.Sys.CPUInfo = append(healthInfo.Sys.CPUInfo, localCPUInfo)

			peerCPUInfo := globalNotificationSys.GetCPUs(healthCtx)
			for _, cpuInfo := range peerCPUInfo {
				anonymizeAddr(&cpuInfo)

    RegionRange regions,
    SmallVectorImpl<ShapedTypeComponents> &inferredReturnShapes) {
  XlaBroadcastHelperOpAdaptor op(operands.getValues(), attributes);
  Value lhs = op.getLhs();
  Value rhs = op.getRhs();
  auto set_unranked_results = [&]() {
    inferredReturnShapes.emplace_back(getElementTypeOrSelf(lhs));
    inferredReturnShapes.emplace_back(getElementTypeOrSelf(rhs));
    return success();
  };

Method <org.gradle.plugins.ide.idea.model.IdeaProject.getVcs()> does not have raw return type assignable to org.gradle.api.provider.Property in (IdeaProject.java:0)
Method <org.gradle.plugins.ide.idea.model.IdeaProject.getWildcards()> does not have raw return type assignable to org.gradle.api.provider.Property in (IdeaProject.java:0)