tensor.matrix<tsl::qint8>()(0, 1) = tsl::qint8(2);
  tensor.matrix<tsl::qint8>()(1, 0) = tsl::qint8(3);
  tensor.matrix<tsl::qint8>()(1, 1) = tsl::qint8(4);

  ::tensorflow::TensorProto tensor_proto;
  tensor.AsProtoTensorContent(&tensor_proto);
  return ::tensorflow::mangling_util::MangleTensor(tensor_proto);
}

std::string GetQint16Tensor() {
  ::tensorflow::Tensor tensor(::tensorflow::DT_QINT16, {2, 2});

  }

  void Compute(OpKernelContext* ctx) override {
    if (!enabled_) return;

    const Tensor& tensor_data = ctx->input(0);

    TensorProto tensor_proto;
    tensor_data.AsProtoTensorContent(&tensor_proto);

    OP_REQUIRES_OK(ctx, tensor_data_writer_->WriteRecord(
                            tensor_proto.SerializeAsString()));
  }

 private:
  bool enabled_;

      typedef T type;
    };
    // END_SKIP_DOXYGEN

    TensorProto AsTensorProto() {
      TensorProto tensor_proto;
      if (tensor.NumElements() > 1) {
        tensor.AsProtoTensorContent(&tensor_proto);
      } else {
        tensor.AsProtoField(&tensor_proto);
      }
      return tensor_proto;
    }

    Status status;
    Tensor tensor;
  };

  // representation.
  // * For scalars and short strings it may be marginally worse and a more
  //   intelligent decision could be made by caller.
  if (use_tensor_content)
    input_tensor.AsProtoTensorContent(&tensor_proto);
  else
    input_tensor.AsProtoField(&tensor_proto);
  return tensor_proto;
}

static std::string MangleTensor(const Tensor& tensor) {