code: def __init__(self, inplanes, planes, stride=1, downsample=None):
      super(BasicBlock, self).__init__()
      self.conv1 = conv3x3(inplanes, planes, stride)
      self.bn1 = nn.BatchNorm2d(planes)
      # self.relu = nn.ReLU(inplace=True)
      self.conv2 = conv3x3(planes, planes)
      self.bn2 = nn.BatchNorm2d(planes)
      self.stride = stride
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  import torchvision
  from torch.autograd import Variable
  from tensorboardX import SummaryWriter
  import pytest
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)