code: def get_trans_fun(name):
      """Retrieves the transformation function by name."""
      trans_funs = {
          "basic_transform": BasicTransform,
          "bottleneck_transform": BottleneckTransform,
      }
      err_str = "Transformation function '{}' not supported"
      assert name in trans_funs.keys(), err_str.format(name)
      return trans_funs[name]
  
imports: from pycls.core.config import cfg
  from pycls.models.blocks import activation, conv2d, conv2d_cx, gap2d, gap2d_cx, init_weights, linear, linear_cx, norm2d, norm2d_cx, pool2d, pool2d_cx
  from torch.nn import Module
label_desc: Use image node_id 1 for calling a global function with example usage: get_trans_fun(name) and returns: trans_funs