code: def __init__(self, url2tensor_dict, name) -> None:
      self.url2tensor_dict = url2tensor_dict
      self.name = name
      self.__embedding_length = len(
          next(iter(self.url2tensor_dict.values()))
      )
      self.static_embeddings = True
      super().__init__()
  
imports: import logging
  from typing import Any, Dict, List, Optional
  import torch
  import torch.nn.functional
  from torch.nn import AdaptiveAvgPool2d, AdaptiveMaxPool2d, Conv2d, Dropout2d, Linear, MaxPool2d, Parameter, ReLU, Sequential, TransformerEncoder, TransformerEncoderLayer
  import flair
  from flair.data import Image
  from flair.embeddings.base import Embeddings, register_embeddings
label_desc: Use image node_id 1 to create a new PrecomputedImageEmbeddings object from inherited base classes: ImageEmbeddings with example: obj = PrecomputedImageEmbeddings(url2tensor_dict, name)