Exclude_deterministic argument in Predictive does not apply for models with discrete latents

[fehiepsi]

See the forum issue https://forum.pyro.ai/t/enumerate-support-for-batch-dimensions-of-custom-distribution/7656/4

We need to move the logic of exclude_deterministic to the infer_discrete branch

numpyro/numpyro/infer/util.py

Lines 793 to 818 in 3cde93d

	if infer_discrete:
	from numpyro.contrib.funsor import config_enumerate
	from numpyro.contrib.funsor.discrete import _sample_posterior
	model_trace = prototype_trace
	temperature = 1
	pred_samples = _sample_posterior(
	config_enumerate(condition(model, samples)),
	first_available_dim,
	temperature,
	rng_key,
	*model_args,
	**model_kwargs,
	)
	else:
	def _samples_wo_deterministic(msg):
	return (
	samples.get(msg["name"]) if msg["type"] != "deterministic" else None
	)
	substituted_model = (
	substitute(masked_model, substitute_fn=_samples_wo_deterministic)
	if exclude_deterministic
	else substitute(masked_model, samples)
	)