code: def model_7(
      sequences, lengths, args, batch_size=None, include_prior=True
  ):
      with ignore_jit_warnings():
          num_sequences, max_length, data_dim = map(
              int, sequences.shape
          )
          assert lengths.shape == (num_sequences,)
          assert lengths.max() <= max_length
  
      # Initialize a global module instance if needed.
      global tones_generator
      if tones_generator is None:
          tones_generator = TonesGenerator(args, data_dim)
      pyro.module("tones_generator", tones_generator)
  
      with poutine.mask(mask=include_prior):
          probs_x = pyro.sample(
              "probs_x",
              dist.Dirichlet(
                  0.9 * torch.eye(args.hidden_dim) + 0.1
              ).to_event(1),
          )
      with pyro.plate(
          "sequences", num_sequences, batch_size, dim=-1
      ) as batch:
          lengths = lengths[batch]
          y = (
              sequences[batch]
              if args.jit
              else sequences[batch, : lengths.max()]
          )
          x = torch.arange(args.hidden_dim)
          t = torch.arange(y.size(1))
          init_logits = torch.full((args.hidden_dim,), -float("inf"))
          init_logits[0] = 0
          trans_logits = probs_x.log()
          with ignore_jit_warnings():
              obs_dist = dist.Bernoulli(
                  logits=tones_generator(x, y.unsqueeze(-2))
              ).to_event(1)
              obs_dist = obs_dist.mask(
                  (t < lengths.unsqueeze(-1)).unsqueeze(-1)
              )
              hmm_dist = dist.DiscreteHMM(
                  init_logits, trans_logits, obs_dist
              )
          pyro.sample("y", hmm_dist, obs=y)
  
imports: import argparse
  import logging
  import sys
  import torch
  import torch.nn
  from torch.distributions import constraints
  import pyro
  import pyro.contrib.examples.polyphonic_data_loader
  import pyro.distributions
  from pyro import poutine
  from pyro.infer import SVI, JitTraceEnum_ELBO, TraceEnum_ELBO, TraceTMC_ELBO
  from pyro.infer.autoguide import AutoDelta
  from pyro.ops.indexing import Vindex
  from pyro.optim import Adam
  from pyro.util import ignore_jit_warnings
label_desc: Use image node_id 8 for calling a global function with example usage: model_7(sequences, lengths, args, batch_size, include_prior) without return types