code: def __init__(self, inplanes, planes, stride=1, downsample=None):
      super(BasicBlock, self).__init__()
      self.conv1 = nn.Conv2d(
          inplanes,
          planes,
          kernel_size=3,
          stride=stride,
          padding=1,
          bias=False,
      )
      self.bn1 = nn.BatchNorm2d(planes)
      self.relu = nn.ReLU(inplace=True)
      self.conv2 = nn.Conv2d(
          planes, planes, kernel_size=3, stride=1, padding=1, bias=False
      )
      self.bn2 = nn.BatchNorm2d(planes)
      self.downsample = downsample
      self.stride = stride
  
imports: import os
  import math
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new BasicBlock object from inherited base classes: nn with example: obj = BasicBlock(inplanes, planes, stride, downsample)