r.options.functional?new r({data:T(t)?t:[].concat(n)}):t?Ne(t).map(o)[0]:o(t);function o(t){var e=Zi.getComponent(t,s);if(e){if(!i)return e;e.$destroy()}return new r({el:t,data:i})}};var i=T(t)?G({},t):t.options;return i.name=s,i.install&&i.install(Zi,i,s),Zi._initialized&&!i.functional&&xi.read(function(){return Zi[s]("[uk-"+e+"],[data-uk-"+e+"]")}),tn[s]=T(t)?i:t},Zi.getComponents=function(t){return t&&t[Qi]||{}},Zi.getComponent=function(t,e){return Zi.getComponents(t)[e]},Zi.connect=function(t){if(t[Qi])for(var...

  }
  if (!result.ok()) {
    status->status = result;
    return;
  }

  // Store results in c_outputs[]
  for (int i = 0; i < noutputs; ++i) {
    const Tensor& src = outputs[i];
    if (!src.IsInitialized() || src.NumElements() == 0) {
      c_outputs[i] =
          EmptyTensor(static_cast<TF_DataType>(src.dtype()), src.shape());
      continue;
    }
    c_outputs[i] = TF_TensorFromTensor(src, &status->status);