TF_RETURN_IF_ERROR(context->allocate_temp(
        var->tensor()->dtype(), var->tensor()->shape(), &tmp, attr));

    const auto elements_in = var->tensor()->flat<Variant>();
    auto elements_out = tmp.flat<Variant>();
    for (int64_t i = 0; i < elements_in.size(); ++i) {
      elements_out(i) = elements_in(i);
    }
  } else {
    AllocatorAttributes attr;
    attr.set_gpu_compatible(true);
    attr.set_nic_compatible(true);

</SelectObjectContentRequest>`),
			withJSON: `
{
  "name": "small_pdf1.pdf",
  "lume_id": "9507193e-572d-4f95-bcf1-e9226d96be65",
  "elements": [
    {
      "element_type": "__elem__image",
      "element_id": "859d09c4-7cf1-4a37-9674-3a7de8b56abc",
      "attributes": {
        "__attr__image_dpi": 300,
        "__attr__image_size": [
          2550,
          3299
        ],
        "__attr__image_index": 1,