code: def model_size(model: nn.Module):
      """Computes PyTorch model size in bytes."""
      size = 0
      size += sum(
          param.nelement() * param.element_size()
          for param in model.parameters()
      )
      size += sum(
          buffer.nelement() * buffer.element_size()
          for buffer in model.buffers()
      )
      return size
  
imports: import math
  import os
  import warnings
  from abc import abstractmethod
  from functools import lru_cache
  from typing import List, Optional, Tuple, Union
  import torch
  from torch import nn
  from torch.nn import Module, ModuleDict
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.constants import ENCODER_OUTPUT
  from ludwig.utils.strings_utils import SpecialSymbol
label_desc: Use image node_id 13 for calling a global function with example usage: model_size(model) and returns: size