Hi , I wonder to know Deep Markov model tutorial use for loop to implement , but HMM tutorial use pyro.markov . Both of implement are same markov independent ? Thanks !

# Deep Markov model vs HMM

You’re correct that the models have the same conditional independence structure. However, the information about a model conveyed by `pyro.markov`

is only used by inference algorithms that use Pyro’s enumeration machinery, namely variational inference with `TraceEnum_ELBO`

and MCMC with `HMC`

. Since the DMM example does not use one of those algorithms, using `pyro.markov`

in it is unnecessary.

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Thanks a lot !!!