if (!s.ok()) {
    shape_string = "<error computing shape>";
  } else {
    shape_string = shape.DebugString();
  }
  return absl::StrCat("TensorHandle(shape=", shape_string,
                      ", dtype=", DataType_Name(DataType()),
                      ", type=", FullType().DebugString(), ")");
}

Status AbstractTensorHandle::TensorHandleStatus() const {
  // Tensor handles in current runtime don't carry error info and this method

  if (!s.ok()) {
    device_name = "<error fetching device name>";
  }
  return absl::StrCat("TensorHandle(", value_string, ", shape=", shape_string,
                      ", dtype=", DataType_Name(DataType()), ", device=\"",
                      device_name, "\")");
}

Status ImmediateExecutionTensorHandle::SummarizeValue(
    std::string& summary) const {
  Status status;
  AbstractTensorPtr resolved(

    case TF_DataType::TF_COMPLEX128:
      dtype.code = DLDataTypeCode::kDLComplex;
      break;
    default:
      status->status = tensorflow::errors::InvalidArgument(
          DataType_Name(static_cast<DataType>(data_type)),
          " is not supported by dlpack");
      break;
  }
  return dtype;
}

// Gets DLPack's DLDevice from eager tensor handle.