class_docstr: SSH Module
  
  Single stage headless Module inspired by SSH: Single Stage Headless Face Detector.
  Described in: https://arxiv.org/abs/1708.03979.
  
  Args:
      in_channel (`int`):
          number of input channels.
      out_channel (`int`):
          number of output channels.
code: def forward(self, x: torch.FloatTensor):
      conv3x3 = self.conv3x3(x)
  
      conv5x5_1 = self.conv5x5_1(x)
      conv5x5 = self.conv5x5_2(conv5x5_1)
  
      conv7x7_2 = self.conv7x7_2(conv5x5_1)
      conv7x7 = self.conv7x7_3(conv7x7_2)
  
      out = torch.cat([conv3x3, conv5x5, conv7x7], dim=1)
      out = F.relu(out)
      return out
  
imports: import torch
  import torch.nn.functional
  from torch import nn
  from towhee.models.retina_face.utils import conv_bn, conv_bn_no_relu
label_desc: Use image node_id 2 for calling the SSH obj's underlying member method code with example usage: obj.forward(x) and returns: out