code: def build(self, config):
      model = PytorchBaseModel(
          self.model_creator, self.optimizer_creator, self.loss_creator
      )
      model.build(config)
      return model
  
imports: import torch
  from torch.utils.data import TensorDataset, DataLoader
  import types
  import numpy
  import math
  import pandas
  import tempfile
  import os
  from zoo.orca.automl.model.abstract import BaseModel, ModelBuilder
  from zoo.orca.automl.metrics import Evaluator
  from zoo.orca.automl.pytorch_utils import LR_NAME, DEFAULT_LR
label_desc: Use image node_id 2 for calling the PytorchModelBuilder obj's underlying member method code with example usage: obj.build(config) and returns: model