code: def __init__(self, args, data_dim):
      self.args = args
      self.data_dim = data_dim
      super().__init__()
      self.x_to_hidden = nn.Linear(args.hidden_dim, args.nn_dim)
      self.y_to_hidden = nn.Linear(
          args.nn_channels * data_dim, args.nn_dim
      )
      self.conv = nn.Conv1d(1, args.nn_channels, 3, padding=1)
      self.hidden_to_logits = nn.Linear(args.nn_dim, data_dim)
      self.relu = nn.ReLU()
  
imports: import argparse
  import functools
  import logging
  import sys
  import torch
  import torch.nn
  from torch.distributions import constraints
  from pyro.contrib.examples import polyphonic_data_loader
  from pyro.infer.autoguide import AutoDelta
  from pyro.ops.indexing import Vindex
  from pyro.util import ignore_jit_warnings
  from pyroapi import distributions
  from pyroapi import handlers, infer, optim, pyro, pyro_backend
label_desc: Use image node_id 1 to create a new TonesGenerator object from inherited base classes: nn with example: obj = TonesGenerator(args, data_dim)