code: def __init__(self, transforms) -> None:
      import PIL as pythonimagelib
  
      self.PIL = pythonimagelib
      self.name = "Identity"
      self.transforms = transforms
      self.__embedding_length: Optional[int] = None
      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 IdentityImageEmbeddings object from inherited base classes: ImageEmbeddings with example: obj = IdentityImageEmbeddings(transforms)