code: def cnn_model(c: Configs):
      return CnnModel(
          price_mean=c.train_dataset.price_mean,
          price_std=c.train_dataset.price_std,
          volume_mean=c.train_dataset.volume_mean,
          volume_std=c.train_dataset.volume_std,
          y_mean=c.train_dataset.y_mean,
          y_std=c.train_dataset.y_std,
          activation=c.activation,
          conv_sizes=c.conv_sizes,
          dropout=c.dropout,
      ).to(c.device)
  
file_path: labml/samples/stocks/minutely_stocks.py
imports: from typing import Tuple, List, Any
  from torch import nn
  from torch.utils.data import DataLoader
  from labml import experiment, tracker, monit
  from labml.configs import option, calculate
  from labml_helpers.metrics.collector import Collector
  from labml_helpers.train_valid import SimpleTrainValidConfigs, BatchIndex
  from stocks.dataset import MinutelyData, MinutelyDataset
  from stocks.model import CnnModel
label_desc: Use image node_id 2 for calling a global function with example usage: cnn_model(c) and returns: CnnModel