code: def __init__(
      self,
      freq: int = 1,
      task_name: str = "none",
      epochs: int = 100,
      batch_size: int = 32,
      num_batches_per_epoch: int = 50,
      num_workers: int = 1,
      pin_memory: bool = False,
      learning_rate: float = 1e-3,
      weight_decay: float = 1e-6,
      num_strata: int = 8,
      nesterov: bool = False,
      decreasing_step_size: bool = False,
      gradient_variance_freq: int = 20,
      weighted_batch: bool = True,
      validation_freq: int = 5,
      eval_model: bool = False,
      tensorboard_path: str = "./runs/SCSG",
      device: Optional[torch.device] = None,
  ) -> None:
      self.epochs = epochs
      self.batch_size = batch_size
      self.num_batches_per_epoch = num_batches_per_epoch
      self.learning_rate = learning_rate
      self.weight_decay = weight_decay
      self.device = device
      self.num_workers = num_workers
      self.pin_memory = pin_memory
      self.num_strata = num_strata
      self.task_name = task_name
      self.freq = freq
      self.nesterov = nesterov
      self.decreasing_step_size = decreasing_step_size
      self.weighted_batch = weighted_batch
      self.log_variance = log_variance
      self.validation_freq = validation_freq
      self.eval_model = eval_model
      self.tensorboard_path = tensorboard_path
  
file_path: gluonts/src/gluonts/nursery/SCott/trainers/SCSG.py
imports: import time
  from typing import List, Optional
  import torch
  import torch.nn
  from torch.utils.tensorboard import SummaryWriter
  import copy
  import random
  import math
  from pts.trainers.timer import Timer
label_desc: Use image node_id 1 to create a new SCSG object  with example: obj = SCSG(freq, task_name, epochs, batch_size, num_batches_per_epoch, num_workers, pin_memory, learning_rate, weight_decay, num_strata, nesterov, decreasing_step_size, gradient_variance_freq, weighted_batch, validation_freq, eval_model, tensorboard_path, device)