code: def __init__(self, inplanes, planes, stride=1, downsample=None):
      super(BasicBlock, self).__init__()
      self.conv1 = conv3x3(inplanes, planes, stride)
      self.bn1 = BatchNorm2d(planes, momentum=BN_MOMENTUM)
      self.relu = nn.ReLU(inplace=relu_inplace)
      self.conv2 = conv3x3(planes, planes)
      self.bn2 = BatchNorm2d(planes, momentum=BN_MOMENTUM)
      self.downsample = downsample
      self.stride = stride
  
imports: import os
  import logging
  import numpy
  import torch
  import torch.nn
  import torch._utils
  import torch.nn.functional
  from .bn_helper import BatchNorm2d, BatchNorm2d_class, relu_inplace
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)