This is the algorism what I want to create.
There are one layler RNN, called Reservoir computing
like this,
Recent advances in physical reservoir computing: A review

  
      linkinghub.elsevier.com
  
  
    

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In my case, for example, I want this network to work like below,
This is the input,
torch.tensor[x1(t),x2(t),......,x50(t)]
And output will be
torch.tensor[x1(t+1),x2(t+1),......,x50(t+1)]
Then, the next input should be
torch.tensor[x1(t+1),x2(t+1),......,x50(t+1)]
(equal to the before output.)

If it goes, there are no input from external, so the following external inputs are separately given as triggers to drive this network.
torch.tensor[x51(t),x52(t),x53(t)]
Thank you for your attention.