TF_RETURN_IF_ERROR(c->Merge(c->Dim(indices, 0), c->Dim(grad, 0), &unused));

#include "tensorflow/cc/framework/scope.h"
#include "tensorflow/core/graph/graph.h"
#include "tensorflow/core/public/session.h"
#include "tensorflow/cc/ops/array_ops.h"
#include "tensorflow/cc/ops/standard_ops.h"

using namespace tensorflow;

int main() {
  SessionOptions options;
  std::unique_ptr<tensorflow::Session>
    session(tensorflow::NewSession(options));

  Scope scope = Scope::NewRootScope();

  Input var = ops::Variable(scope, {1,1,1,1}, DT_FLOAT);
  Input accum = ops::Variable(scope, {1,1,1,1}, DT_FLOAT);
  Input accum_update = ops::Variable(scope, {1,1,1,1}, DT_FLOAT);
  auto target = ops::SparseApplyAdadelta(scope.WithOpName("target"), var, accum, accum_update, 0.1f, 0.1f, 0.1f, 0.1f, {1});

  GraphDef graph_def;
  TF_CHECK_OK(scope.ToGraphDef(&graph_def));

  Status status = session->Create(graph_def);
  if (!status.ok()) {
    LOG(FATAL) << "Could not create session: " << status.message();
  }

  std::vector<Tensor> outputs;
  status = session->Run({}, {"target"}, {""}, &outputs);
  if (!status.ok()) {
    LOG(FATAL) << "Could not run session: " << status.message();
  }

  return 0;
}