class_docstr: Construct temporal-wise SELayer.
class_docstr_tok: ["Construct","temporal-wise","SELayer","."]
code: def forward(self, x):
      b, _, t, _, _ = x.size()
      output = x.transpose(1, 2).contiguous()
      y = self.avg_pool(output).view(b, t)
      y = self.fc(y).view(b, t, 1, 1, 1)
      y = y.transpose(1, 2).contiguous()
      # out = x * y.expand_as(x)
      y = y - 0.5
      out = x + x * y.expand_as(x)
      return out
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the SELayerT obj's underlying member method code with example usage: obj.forward(x) and returns: out