code: def conv1x1(
      in_planes: int, out_planes: int, stride: int = 1
  ) -> nn.Conv2d:
      """1x1 convolution."""
      return nn.Conv2d(
          in_planes,
          out_planes,
          kernel_size=1,
          stride=stride,
          bias=False,
      )
  
file_path: anomalib/src/anomalib/models/reverse_distillation/components/bottleneck.py
imports: from __future__ import annotations
  from typing import Callable
  import torch
  from torch import Tensor, nn
  from torchvision.models.resnet import BasicBlock, Bottleneck
label_desc: Use image node_id 2 for calling a global function with example usage: conv1x1(in_planes, out_planes, stride) and returns: nn