class_docstr: Combine the forward pass input with the result from the given submodule::
  --+--submodule--o--
    |_____________|
  The available modes are ``"cat"``, ``"add"``, ``"mul"``.
  Defaults to "cat" and dimension 1.
  Inherits from SkipConnection but provides the indizes with each forward pass.
class_docstr_tok: ["Combine","the","forward","pass","input","with","the","result","from","the","given","submodule",":",":","--","+","--","submodule","--","o","--","|_____________|","The","available","modes","are","``","``","cat","''","``",",","``","``","add","''","``",",","``","``","mul","''","``",".","Defaults","to","``","cat","''","and","dimension","1",".","Inherits","from","SkipConnection","but","provides","the","indizes","with","each","forward","pass","."]
code: def forward(self, input, indices):
      return super().forward(input), indices
  
imports: from __future__ import annotations
  from typing import Optional, Sequence, Tuple, Union
  import torch
  import torch.nn
  import torch.nn.functional
  from monai.networks.blocks import ConvDenseBlock, Convolution
  from monai.networks.blocks import squeeze_and_excitation
  from monai.networks.layers.factories import Act, Norm
  from monai.networks.layers.simplelayers import SkipConnection
  from monai.networks.layers.utils import get_dropout_layer, get_pool_layer
  from monai.utils import optional_import
label_desc: Use image node_id 1 for calling the SkipConnectionWithIdx obj's underlying member method code with example usage: obj.forward(input, indices) and returns: super,  indices