class_docstr: AnyNet model.
class_docstr_tok: ["AnyNet","model","."]
code: def get_params():
      nones = [None for _ in cfg.ANYNET.DEPTHS]
      return {
          "stem_type": cfg.ANYNET.STEM_TYPE,
          "stem_w": cfg.ANYNET.STEM_W,
          "block_type": cfg.ANYNET.BLOCK_TYPE,
          "depths": cfg.ANYNET.DEPTHS,
          "widths": cfg.ANYNET.WIDTHS,
          "strides": cfg.ANYNET.STRIDES,
          "bot_muls": cfg.ANYNET.BOT_MULS
          if cfg.ANYNET.BOT_MULS
          else nones,
          "group_ws": cfg.ANYNET.GROUP_WS
          if cfg.ANYNET.GROUP_WS
          else nones,
          "head_w": cfg.ANYNET.HEAD_W,
          "se_r": cfg.ANYNET.SE_R if cfg.ANYNET.SE_ON else 0,
          "num_classes": cfg.MODEL.NUM_CLASSES,
      }
  
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, SE
  from torch.nn import Module
label_desc: Use image node_id 1 for calling the AnyNet obj's underlying member method code with example usage: obj.get_params() and returns: dict