code: def _conv_mixer(c: Configs):
      """
      ### Create model
      """
      from labml_nn.conv_mixer import (
          ConvMixerLayer,
          ConvMixer,
          ClassificationHead,
          PatchEmbeddings,
      )
  
      # Create ConvMixer
      return ConvMixer(
          ConvMixerLayer(c.d_model, c.kernel_size),
          c.n_layers,
          PatchEmbeddings(c.d_model, c.patch_size, 3),
          ClassificationHead(c.d_model, c.n_classes),
      ).to(c.device)
  
imports: from labml import experiment
  from labml.configs import option
  from labml_nn.experiments.cifar10 import CIFAR10Configs
label_desc: Use image node_id 1 for calling a global function with example usage: _conv_mixer(c) and returns: ConvMixer