code: def default(self, obj):
      if isinstance(obj, torch.Tensor):
          return {"TORCHTENSOR": obj.cpu().detach().numpy().tolist()}
      return json.JSONEncoder.default(self, obj)
  
imports: import base64
  import json
  import warnings
  import numpy
  import zlib
  from PIL import Image, ImageDraw
  import torch
label_desc: Use image node_id 1 for calling the EmbeddingEncoder obj's underlying member method code with example usage: obj.default(obj) and returns: json, dict