code: def forward(self, x, fake_relu=False, no_relu=False):
      identity = x
  
      out = self.conv1(x)
      out = self.bn1(out)
      out = self.relu(out)
  
      out = self.conv2(out)
      out = self.bn2(out)
  
      if self.downsample is not None:
          identity = self.downsample(x)
  
      out += identity
  
      if fake_relu:
          return FakeReLU.apply(out)
      if no_relu:
          return out
      return self.relu(out)
  
imports: import torch
  import torch.nn
  from torch.hub import load_state_dict_from_url
  from ..tools.custom_modules import SequentialWithArgs, FakeReLU
label_desc: Use image node_id 2 for calling the BasicBlock obj's underlying member method code with example usage: obj.forward(x, fake_relu, no_relu) and returns: self, FakeReLU, out