code: def layer_specific_args(parser: argparse.ArgumentParser):
      layer_dir = os.path.dirname(__file__)
      parsed_layers = []
      for file in os.listdir(layer_dir):
          path = os.path.join(layer_dir, file)
          if (
              not file.startswith("_")
              and not file.startswith(".")
              and (file.endswith(".py") or os.path.isdir(path))
          ):
              layer_name = (
                  file[: file.find(".py")]
                  if file.endswith(".py")
                  else file
              )
              module = importlib.import_module(
                  "cvnets.layers." + layer_name
              )
              for name, cls in inspect.getmembers(
                  module, inspect.isclass
              ):
                  if (
                      issubclass(cls, BaseLayer)
                      and name not in parsed_layers
                  ):
                      parser = cls.add_arguments(parser)
                      parsed_layers.append(name)
      return parser
  
imports: import argparse
  import importlib
  import inspect
  import os
  from cvnets.layers.adaptive_pool import AdaptiveAvgPool2d
  from cvnets.layers.base_layer import BaseLayer
  from cvnets.layers.conv_layer import ConvLayer1d, ConvLayer2d, ConvLayer3d, NormActLayer, SeparableConv1d, SeparableConv2d, SeparableConv3d, TransposeConvLayer2d
  from cvnets.layers.dropout import Dropout, Dropout2d
  from cvnets.layers.embedding import Embedding
  from cvnets.layers.flatten import Flatten
  from cvnets.layers.global_pool import GlobalPool
  from cvnets.layers.identity import Identity
  from cvnets.layers.linear_attention import LinearSelfAttention
  from cvnets.layers.linear_layer import GroupLinear, LinearLayer
  from cvnets.layers.multi_head_attention import MultiHeadAttention
  from cvnets.layers.normalization_layers import AdjustBatchNormMomentum, get_normalization_layer, norm_layers_tuple
  from cvnets.layers.pixel_shuffle import PixelShuffle
  from cvnets.layers.pooling import AvgPool2d, MaxPool2d
  from cvnets.layers.positional_embedding import PositionalEmbedding
  from cvnets.layers.single_head_attention import SingleHeadAttention
  from cvnets.layers.softmax import Softmax
  from cvnets.layers.stochastic_depth import StochasticDepth
  from cvnets.layers.upsample import UpSample
label_desc: Use image node_id 1 for calling a global function with example usage: layer_specific_args(parser) and returns: parser