class_docstr: Creates a very basic CNN model to fit image data for classification task
  The test uses this to check if this model is converted to OpenVINO IR.
class_docstr_tok: ["Creates","a","very","basic","CNN","model","to","fit","image","data","for","classification","task","The","test","uses","this","to","check","if","this","model","is","converted","to","OpenVINO","IR","."]
code: def forward(self, x):
      batch_size, _, _, _ = x.size()
      x = self.conv1(x)
      x = self.conv2(x)
      x = self.conv3(x)
      x = x.view(batch_size, -1)
      x = self.fc1(x)
      x = F.dropout(x, p=0.2)
      x = self.fc2(x)
      x = F.log_softmax(x, dim=1)
      return x
  
imports: import shutil
  import tempfile
  from pathlib import Path
  import pytorch_lightning
  import torch
  import torch.nn.functional
  from torch import nn
  from torch.utils.data import DataLoader, Dataset
  from anomalib.utils.loggers.tensorboard import AnomalibTensorBoardLogger
label_desc: Use image node_id 2 for calling the DummyModel obj's underlying member method code with example usage: obj.forward(x) and returns: x