class_docstr: Channel attention module.
class_docstr_tok: ["Channel","attention","module","."]
code: def __init__(self, channels: int):
      super().__init__()
  
      self.channels = channels
      self.gamma = self.create_parameter(
          shape=[1],
          dtype="float32",
          default_initializer=nn.initializer.Constant(0),
      )
  
imports: import os
  from typing import Union, List, Tuple
  import paddle
  from paddle import nn
  import paddle.nn.functional
  import numpy
  from paddlehub.module.module import moduleinfo
  import paddlehub.vision.segmentation_transforms
  from paddlehub.module.cv_module import ImageSegmentationModule
  from danet_resnet50_voc.resnet import ResNet50_vd
  import danet_resnet50_voc.layers
label_desc: Use image node_id 1 to create a new CAM object from inherited base classes: nn with example: obj = CAM(channels)