code: def get_padding_value(padding, kernel_size, **kwargs):
      dynamic = False
      if isinstance(padding, str):
          # for any string padding, the padding will be calculated for you, one of three ways
          padding = padding.lower()
          if padding == "same":
              # TF compatible 'SAME' padding, has a performance and GPU memory allocation impact
              if _is_static_pad(kernel_size, **kwargs):
                  # static case, no extra overhead
                  padding = _get_padding(kernel_size, **kwargs)
              else:
                  # dynamic padding
                  padding = 0
                  dynamic = True
          elif padding == "valid":
              # 'VALID' padding, same as padding=0
              padding = 0
          else:
              # Default to PyTorch style 'same'-ish symmetric padding
              padding = _get_padding(kernel_size, **kwargs)
      return padding, dynamic
  
imports: import collections.abc
  import math
  from functools import partial
  from itertools import repeat
  from typing import Tuple, Optional
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from .config import *
label_desc: Use image node_id 8 for calling a global function with example usage: get_padding_value(padding, kernel_size) and returns: padding,  dynamic