code: def create_model():
      model = torchvision.models.resnet18(
          pretrained=False, num_classes=10
      )
      model.conv1 = nn.Conv2d(
          3,
          64,
          kernel_size=(3, 3),
          stride=(1, 1),
          padding=(1, 1),
          bias=False,
      )
      model.maxpool = nn.Identity()
      return model
  
imports: import os
  import torch
  import torch.nn
  import torch.nn.functional
  import torchvision
  from pytorch_lightning import LightningModule, Trainer, seed_everything
  from pytorch_lightning.callbacks import LearningRateMonitor
  from pytorch_lightning.loggers import TensorBoardLogger
  from torch.optim.lr_scheduler import OneCycleLR
  from torchmetrics.functional import accuracy
  from pl_bolts.datamodules import CIFAR10DataModule
  from pl_bolts.transforms.dataset_normalizations import cifar10_normalization
label_desc: Use image node_id 1 for calling a global function with example usage: create_model() and returns: model