class_docstr: Channel attention module
code: def __init__(self, **kwargs):
      super(_ChannelAttentionModule, self).__init__()
      self.beta = nn.Parameter(torch.zeros(1))
      self.softmax = nn.Softmax(dim=-1)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from pywick.models.segmentation.da_basenets.segbase import SegBaseModel
label_desc: Use image node_id 1 to create a new _ChannelAttentionModule object from inherited base classes: nn with example: obj = _ChannelAttentionModule()