code: def make_linear_from_emb(emb):
      vocab_size, emb_size = emb.weight.shape
      lin_layer = nn.Linear(vocab_size, emb_size, bias=False)
      lin_layer.weight.data = emb.weight.data
      return lin_layer
  
imports: import argparse
  import io
  import json
  import os
  import tempfile
  import urllib
  import warnings
  from typing import Any, Optional, Tuple
  import torch
  from huggingface_hub.utils import insecure_hashlib
  from torch import nn
  from tqdm import tqdm
  from transformers import GenerationConfig, WhisperConfig, WhisperFeatureExtractor, WhisperForConditionalGeneration, WhisperProcessor, WhisperTokenizer, WhisperTokenizerFast
  from transformers.models.whisper.tokenization_whisper import LANGUAGES, bytes_to_unicode
  from transformers.utils.import_utils import _is_package_available
label_desc: Use image node_id 4 for calling a global function with example usage: make_linear_from_emb(emb) and returns: lin_layer