code: def get_opts() -> argparse.Namespace:
      opts = argparse.Namespace()
      setattr(
          opts, "model.classification.byteformer.conv_kernel_size", 16
      )
      setattr(opts, "model.classification.byteformer.dropout", 0.0)
      setattr(
          opts,
          "model.classification.byteformer.norm_layer",
          "layer_norm",
      )
      setattr(
          opts,
          "model.classification.byteformer.dummy_input_token_length",
          1,
      )
      setattr(
          opts, "model.classification.byteformer.max_num_tokens", 1000
      )
      setattr(
          opts,
          "model.classification.byteformer.sinusoidal_pos_emb",
          False,
      )
      setattr(opts, "model.classification.byteformer.vocab_size", 257)
      setattr(opts, "model.classification.byteformer.mode", "tiny")
      setattr(opts, "model.classification.byteformer.input_dims", 2)
      setattr(
          opts,
          "model.classification.byteformer.pos_embed_type",
          "learnable",
      )
      setattr(
          opts,
          "model.classification.byteformer.window_sizes",
          [128] * 12,
      )
      setattr(
          opts,
          "model.classification.byteformer.window_shifts",
          [0, 64] * 6,
      )
      setattr(
          opts,
          "model.classification.byteformer.downsample",
          [True, True] + ([False, True] * 4) + [False, False],
      )
      setattr(
          opts, "model.classification.byteformer.stochastic_dropout", 0
      )
      setattr(opts, "model.classification.n_classes", 1000)
      setattr(opts, "model.normalization.groups", None)
      setattr(opts, "model.normalization.momentum", 0.9)
      setattr(opts, "model.activation.name", "relu")
      setattr(opts, "model.activation.inplace", False)
      setattr(opts, "model.activation.neg_slope", False)
      return opts
  
imports: import argparse
  import torch
  from cvnets.models.classification import byteformer
label_desc: Use image node_id 1 for calling a global function with example usage: get_opts() and returns: opts