code: def pad(self, pad, mode="constant", value=0):
      result = self.shallow_copy()
      if hasattr(value, "_tensor"):
          value = value._tensor
  
      if hasattr(result._tensor, "pad"):
          result._tensor = self._tensor.pad(pad, mode=mode, value=value)
      else:
          result._tensor = torch.nn.functional.pad(
              self._tensor, pad, mode=mode, value=value
          )
      return result
  
imports: import torch
  from ..tensor_types import is_tensor
  from ..util import torch_cat, torch_stack
label_desc: Use image node_id 2 for calling a global function with example usage: pad(pad, mode, value) and returns: result