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 __init__(
      self,
  ):
      super().__init__()
      self.conv1 = nn.Conv2d(3, 32, 3)
      self.conv2 = nn.Conv2d(32, 32, 5)
      self.conv3 = nn.Conv2d(32, 1, 7)
      self.fc1 = nn.Linear(400, 256)
      self.fc2 = nn.Linear(256, 10)
  
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 1 to create a new DummyModel object from inherited base classes: nn with example: obj = DummyModel()