code: def get_padding(kernel_size, stride, dilation=1):
      padding = ((stride - 1) + dilation * (kernel_size - 1)) // 2
      return padding
  
imports: import math
  from functools import partial
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.models.helpers import build_model_with_cfg
  from timm.models.layers import DropBlock2d, DropPath, AvgPool2dSame, BlurPool2d, GroupNorm, create_attn, get_attn, create_classifier
label_desc: Use image node_id 1 for calling a global function with example usage: get_padding(kernel_size, stride, dilation) and returns: padding