code: def __init__(self, in_channels, out_channels, **kwargs):
      super(BasicConv2d, self).__init__()
      self.conv = nn.Conv2d(in_channels, out_channels, **kwargs)
      self.relu = nn.ReLU(inplace=True)
  
file_path: deep-learning-for-image-processing/pytorch_classification/Test4_googlenet/model.py
imports: import torch.nn
  import torch
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new BasicConv2d object from inherited base classes: nn with example: obj = BasicConv2d(in_channels, out_channels)