code: def forward(self, x, pre_out=None):
      if pre_out is None:
          pre_out = x
      out = self.conv1(pre_out)
      out = self.conv2(out)
      identity = self.downsample(x)
      out += identity
      return self.block_activation(out)
  
file_path: pytorch_tabular/src/pytorch_tabular/models/danet/arch_blocks.py
imports: from functools import partial
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from pytorch_tabular.models.common.layers.activations import entmax15
  from pytorch_tabular.models.common.layers.batch_norm import GBN
label_desc: Use image node_id 2 for calling the BasicBlock obj's underlying member method code with example usage: obj.forward(x, pre_out) and returns: self