Scope root = Scope::NewRootScope().ExitOnError();

  Output a = ops::_Arg(root.WithOpName("A"), DT_RESOURCE, 0);
  std::vector<NodeBuilder::NodeOut> inputs({NodeBuilder::NodeOut(a.node())});

  Node* call;
  NameAttrList f_name_attr;
  f_name_attr.set_name(fd.signature().name());
  TF_ASSERT_OK(
      NodeBuilder("B", "StatefulPartitionedCall", &root.graph()->flib_def())
          .Input(inputs)
          .Attr("Tin", {DT_RESOURCE})

        }
    }

    static class GraphBuilder {
        private final Map<String, NodeBuilder> nodes = [:]
        private NodeBuilder root

        final Set<String> virtualConfigurations = []

        Collection<NodeBuilder> getNodes() {
            return nodes.values()
        }

        Collection<NodeBuilder> getNodesWithoutRoot() {
            def nodes = new HashSet<>()

    tensorflow::StringPiece s(data, length);
    op_->node_builder.Attr(attr_name, s);
    return absl::OkStatus();
  }
  Status SetAttrInt(const char* attr_name, int64_t value) override {
    op_->node_builder.Attr(attr_name, static_cast<int64_t>(value));
    return absl::OkStatus();
  }
  Status SetAttrFloat(const char* attr_name, float value) override {
    op_->node_builder.Attr(attr_name, value);
    return absl::OkStatus();

#include <vector>

#include "tensorflow/cc/framework/scope_internal.h"
#include "tensorflow/core/common_runtime/shape_refiner.h"
#include "tensorflow/core/framework/node_def_util.h"
#include "tensorflow/core/graph/node_builder.h"
#include "tensorflow/core/lib/strings/str_util.h"

namespace tensorflow {

Scope::Scope(Impl* impl) : impl_(impl) {}

Scope::Scope(const Scope& other) : impl_(new Impl(*other.impl())) {}

  // START_SKIP_DOXYGEN

  /// Update the builder with properties accumulated in this scope. Does not set
  /// status().
  // TODO(skyewm): NodeBuilder is not part of public API
  void UpdateBuilder(NodeBuilder* builder) const;
  // END_SKIP_DOXYGEN

  CompositeOpScopes GetCompositeOpScopes(const string& composite_op_name) const;

  bool ok() const;

#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/framework/shape_inference.h"
#include "tensorflow/core/framework/tensor.pb.h"
#include "tensorflow/core/graph/graph.h"
#include "tensorflow/core/graph/node_builder.h"
#include "tensorflow/core/platform/blocking_counter.h"
#include "tensorflow/core/platform/casts.h"
#include "tensorflow/core/platform/env.h"
#include "tensorflow/core/platform/init_main.h"

#include "absl/types/optional.h"
#include "tensorflow/compiler/jit/shape_inference.h"
#include "tensorflow/compiler/tf2xla/tf2xla_util.h"
#include "tensorflow/core/framework/node_def_util.h"
#include "tensorflow/core/graph/node_builder.h"
#include "tensorflow/core/protobuf/error_codes.pb.h"

using tsl::StatusOr;

namespace tensorflow {

namespace {

// Returns string attribute value for the node if the attribute is present,

        failure.assertHasCause("Cannot change dependencies of dependency configuration ':conf' after it has been included in dependency resolution.")
    }

    void resolvedGraph(@DelegatesTo(ResolveTestFixture.NodeBuilder) Closure closure) {
        resolve.prepare()
        succeeds ":checkDeps"

        resolve.expectGraph {
            root(":", "org.test:root:1.1", closure)
        }
    }

    }

    private void checkDependenciesFails() {
        resolve.prepare()
        fails(buildA, ":checkDeps", buildArgs)
    }

    void checkGraph(@DelegatesTo(ResolveTestFixture.NodeBuilder) Closure closure) {
        resolve.expectGraph {
            root(":", "org.test:buildA:1.0", closure)
        }
    }

  return op_name;
}

absl::StatusOr<std::unique_ptr<NodeDef>> GetOperationNodeDef(
    mlir::Operation* inst, llvm::StringRef name) {
  auto node_def = std::make_unique<NodeDef>();
  // Note: we do not use NodeBuilder or NodeDefBuilder as that would require
  // mapping back from the inputs to the input arguments.

  llvm::SmallString<64> op_name;
  if (IsLegacyCallInstruction(inst)) {
    // The op_name is the name of the function.