code: def get_output_names(onnx_model: str):
      model = onnx.load(onnx_model)
      output_all = [node.name for node in model.graph.output]
      return output_all
  
file_path: nebuly/optimization/nebullvm/nebullvm/tools/onnx.py
imports: from typing import List, Tuple, Any, Optional, Dict
  import numpy
  from loguru import logger
  from nebullvm.config import ONNX_PROVIDERS
  from nebullvm.core.models import DeepLearningFramework, Device, DeviceType, InputInfo, DataType
  from nebullvm.optional_modules.onnx import onnx
  from nebullvm.optional_modules.onnxruntime import onnxruntime
  from nebullvm.optional_modules.tensorflow import tensorflow
  from nebullvm.optional_modules.torch import torch
label_desc: Use image node_id 4 for calling a global function with example usage: get_output_names(onnx_model) and returns: output_all