code: def forward(self, x):
      x = F.relu(self.conv1(x))
      x = F.relu(self.conv2(x))
  
      return F.softmax(self.fc1(x.view(-1, 10 * 25 * 25)), dim=1)
  
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 2 for calling the CnnGrayscale obj's underlying member method code with example usage: obj.forward(x) and returns: F