class_docstr: Compact Spatial Attention Module
class_docstr_tok: ["Compact","Spatial","Attention","Module"]
code: def forward(self, x):
      y = self.relu1(x)
      y = self.conv1(y)
      y = self.conv2(y)
      y = self.sigmoid(y)
  
      return x * y
  
imports: import os
  import math
  import torch
  import numpy
  import torch.nn
  import torch.nn.functional
  from typing import Optional
  from cftool.cv import to_uint8
  from ....parameters import OPT
label_desc: Use image node_id 2 for calling the CSAM obj's underlying member method code with example usage: obj.forward(x) and returns: unknown