code: def fastvit_ma36(pretrained=False, **kwargs):
      """Instantiate FastViT-MA36 model variant."""
      layers = [6, 6, 18, 6]
      embed_dims = [76, 152, 304, 608]
      mlp_ratios = [4, 4, 4, 4]
      downsamples = [True, True, True, True]
      pos_embs = [
          None,
          None,
          None,
          partial(RepCPE, spatial_shape=(7, 7)),
      ]
      token_mixers = ("repmixer", "repmixer", "repmixer", "attention")
      model = FastViT(
          layers,
          embed_dims=embed_dims,
          token_mixers=token_mixers,
          pos_embs=pos_embs,
          mlp_ratios=mlp_ratios,
          downsamples=downsamples,
          layer_scale_init_value=1e-6,
          **kwargs,
      )
      model.default_cfg = default_cfgs["fastvit_m"]
      if pretrained:
          raise ValueError("Functionality not implemented.")
      return model
  
imports: import os
  import copy
  from functools import partial
  from typing import List, Tuple, Optional, Union
  import torch
  import torch.nn
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.models.layers import DropPath, trunc_normal_
  from timm.models.registry import register_model
  from models.modules.mobileone import MobileOneBlock
  from models.modules.replknet import ReparamLargeKernelConv
label_desc: Use image node_id 10 for calling a global function with example usage: fastvit_ma36(pretrained) and returns: model