code: def forward(self, input: Tensor, r: Tensor):
      t = RSoftmax.calculate_t(input, r, self.dim, self.eps)
      return self.tsoftmax(input, t)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch import Tensor
  from torch.autograd import Function
  from torch.jit import script
label_desc: Use image node_id 3 for calling the RSoftmax obj's underlying member method code with example usage: obj.forward(input, r) and returns: self