code: def lcnet_035(pretrained: bool = False, **kwargs) -> MobileNetV3:
      """PP-LCNet 0.35"""
      model = _gen_lcnet(
          "lcnet_035", 0.35, pretrained=pretrained, **kwargs
      )
      return model
  
imports: from functools import partial
  from typing import Callable, List, Optional, Tuple
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.utils.checkpoint import checkpoint
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD, IMAGENET_INCEPTION_MEAN, IMAGENET_INCEPTION_STD
  from timm.layers import SelectAdaptivePool2d, Linear, LayerType, PadType, create_conv2d, get_norm_act_layer
  from ._builder import build_model_with_cfg, pretrained_cfg_for_features
  from ._efficientnet_blocks import SqueezeExcite
  from ._efficientnet_builder import BlockArgs, EfficientNetBuilder, decode_arch_def, efficientnet_init_weights, round_channels, resolve_bn_args, resolve_act_layer, BN_EPS_TF_DEFAULT
  from ._features import FeatureInfo, FeatureHooks
  from ._manipulate import checkpoint_seq
  from ._registry import generate_default_cfgs, register_model, register_model_deprecations
label_desc: Use image node_id 23 for calling a global function with example usage: lcnet_035(pretrained) and returns: model