code: def pairwise_distance(
      x1: TensorLikeType,
      x2: TensorLikeType,
      p: NumberType = 2.0,
      eps: NumberType = 1e-6,
      keepdim=False,
  ) -> TensorLikeType:
      return torch.linalg.vector_norm(
          x1 - x2 + eps, ord=p, dim=-1, keepdim=keepdim
      )
  
imports: import math
  from functools import wraps
  from typing import Callable, Optional, Union
  import torch
  import torch._prims
  import torch._prims_common
  import torch._refs
  from torch._decomp import register_decomposition
  from torch._prims_common import ELEMENTWISE_TYPE_PROMOTION_KIND, NumberType, ShapeType, TensorLike, TensorLikeType
  from torch._prims_common.wrappers import elementwise_type_promotion_wrapper, elementwise_unary_scalar_wrapper, out_wrapper
  from torch._refs import _make_inplace
label_desc: Use image node_id 41 for calling a global function with example usage: pairwise_distance(x1, x2, p, eps, keepdim) and returns: torch