code: def _pad_images(inputs, size=(224, 224), **kwargs):
      height, width = inputs.shape[-2:]
      pad_height, pad_width = (size[0] - height) // 2, (
          size[1] - width
      ) // 2
      padding = (
          pad_width,
          size[1] - width - pad_width,
          pad_height,
          size[0] - height - pad_height,
      )
      return F.pad(inputs, padding, **kwargs)
  
imports: import torch
  import torch.nn.functional
  from torchmeta.utils.prototype import get_prototypes
label_desc: Use image node_id 1 for calling a global function with example usage: _pad_images(inputs, size) and returns: F