code: def _make_resolution_block(
      self,
      in_planes,
      out_planes,
      resolution_idx,
      num_blocks,
      stride=1,
      mid_planes_and_cardinality=None,
      reduction=4,
      final_bn_relu=True,
      use_se=False,
      se_reduction_ratio=16,
  ):
      # add the desired number of residual blocks:
      blocks = OrderedDict()
      for idx in range(num_blocks):
          block_name = "block{}-{}".format(resolution_idx, idx)
          blocks[block_name] = self.layer_type(
              in_planes if idx == 0 else out_planes,
              out_planes,
              stride=stride
              if idx == 0
              else 1,  # only first block has stride
              mid_planes_and_cardinality=mid_planes_and_cardinality,
              reduction=reduction,
              final_bn_relu=final_bn_relu or (idx != (num_blocks - 1)),
              use_se=use_se,
              se_reduction_ratio=se_reduction_ratio,
          )
      return nn.Sequential(blocks)
  
imports: import copy
  import math
  import re
  import warnings
  from collections import OrderedDict
  from typing import Any, Dict, Optional, Sequence
  import torch.nn
  from classy_vision.generic.util import is_pos_int, is_pos_int_tuple
  from .None import register_model
  from .classy_model import ClassyModel
  from .squeeze_and_excitation_layer import SqueezeAndExcitationLayer
label_desc: Use image node_id 4 for calling the ResNeXt obj's underlying member method code with example usage: obj._make_resolution_block(in_planes, out_planes, resolution_idx, num_blocks, stride, mid_planes_and_cardinality, reduction, final_bn_relu, use_se, se_reduction_ratio) and returns: nn