def METHOD_NAME(self, response_sender, input0, gpu_output):
    # Sleep 5 seconds to make sure the main thread has exited.
    time.sleep(5)
    if input0.is_cpu():
        if not gpu_output[0]:
            output0 = pb_utils.Tensor.from_dlpack("OUTPUT0", input0.to_dlpack())
        else:
            outptu0_pytorch = from_dlpack(input0.to_dlpack()).cuda()
            output0 = pb_utils.Tensor.from_dlpack(
                "OUTPUT0", to_dlpack(outptu0_pytorch)
            )
    else:
        if gpu_output[0]:
            output0 = pb_utils.Tensor.from_dlpack("OUTPUT0", input0.to_dlpack())
        else:
            output0_pytorch = from_dlpack(input0.to_dlpack()).cpu()
            output0 = pb_utils.Tensor.from_dlpack(
                "OUTPUT0", to_dlpack(output0_pytorch)
            )
    next_gpu_output = pb_utils.Tensor("NEXT_GPU_OUTPUT", gpu_output[1:])
    infer_response = pb_utils.InferenceResponse([output0, next_gpu_output])
    # Number of times to repeat the response
    response_repeat = 2
    for _ in range(response_repeat):
        response_sender.send(infer_response)
    response_sender.send(flags=pb_utils.TRITONSERVER_RESPONSE_COMPLETE_FINAL)
    with self.inflight_thread_count_lck:
        self.inflight_thread_count -= 1