code: def __init__(self):
      super().__init__()
      weights = ResNet18_Weights.DEFAULT
      self.resnet18 = resnet18(weights=weights, progress=False).eval()
      self.transforms = weights.transforms(antialias=True)
  
file_path: vision/gallery/others/plot_scripted_tensor_transforms.py
imports: from pathlib import Path
  import matplotlib.pyplot
  import torch
  import torch.nn
  import torchvision.transforms
  from torchvision.io import read_image
  import sys
  from helpers import plot
  from torchvision.models import resnet18, ResNet18_Weights
  import json
  import tempfile
label_desc: Use image node_id 1 to create a new Predictor object from inherited base classes: nn with example: obj = Predictor()