code: def __init__(
      self,
      batch_size: int = 64,
      test_batch_size: int = 1000,
      epochs: int = 15,
      lr: float = 0.01,
      gamma: float = 0.7,
      no_cuda: bool = True,
      seed: int = 42,
      log_interval: int = 10,
  ):
      self.batch_size = batch_size
      self.test_batch_size = test_batch_size
      self.epochs = epochs
      self.lr = lr
      self.gamma = gamma
      self.no_cuda = no_cuda
      self.seed = seed
      self.log_interval = log_interval
  
file_path: pytorch-optimizer/examples/mnist.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.optim.lr_scheduler import StepLR
  from torch.utils.tensorboard import SummaryWriter
  from torchvision import datasets, transforms, utils
  import torch_optimizer
label_desc: Use image node_id 1 to create a new Config object  with example: obj = Config(batch_size, test_batch_size, epochs, lr, gamma, no_cuda, seed, log_interval)