code: def __init__(self):
      super().__init__()
      self.conv1 = nn.Conv2d(1, 64, kernel_size=3, stride=3, padding=1)
      self.relu1 = nn.ReLU(inplace=True)
      self.conv2 = nn.Conv2d(64, 10, kernel_size=3, stride=3, padding=1)
      self.fc1 = nn.Linear(10 * 25 * 25, 10)
  
imports: import inspect
  import pytest
  import torch
  import torch.nn
  import torch.nn.functional
  import torchvision.models
  from flashtorch.saliency import Backprop
label_desc: Use image node_id 1 to create a new CnnGrayscale object from inherited base classes: nn with example: obj = CnnGrayscale()