code: def check_configs(self):
      if self.config["bottleneck-dim"] <= 0:
          raise RuntimeError("bottleneck-dim must be set and >0.")
      if self.config["dim"] <= self.config["bottleneck-dim"]:
          raise RuntimeError("dim must be greater than bottleneck-dim")
  
      dropout = self.config["dropout-proportion"]
      if dropout != -1.0 and not (dropout >= 0.0 and dropout < 1.0):
          raise RuntimeError("invalid value for dropout-proportion")
  
      if abs(self.config["bypass-scale"]) > 1.0:
          raise RuntimeError("bypass-scale has invalid value")
  
      input_dim = self.descriptors["input"]["dim"]
      output_dim = self.config["dim"]
      if output_dim != input_dim and self.config["bypass-scale"] != 0.0:
          raise RuntimeError(
              "bypass-scale is nonzero but output-dim != input-dim: {0} != {1}"
              "".format(output_dim, input_dim)
          )
  
      if not self.config["context"] in [
          "default",
          "left-only",
          "shift-left",
          "none",
      ]:
          raise RuntimeError(
              "context must be default, left-only shift-left or none, got {}".format(
                  self.config["context"]
              )
          )
  
imports: from __future__ import print_function
  import math
  import re
  import sys
  from libs.nnet3.xconfig.basic_layers import XconfigLayerBase
label_desc: Use image node_id 4 for calling the XconfigTdnnfLayer obj's underlying member method code with example usage: obj.check_configs() without return types