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pymc_experimental/model/marginal/distributions.py

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@@ -201,11 +201,9 @@ def marginal_hmm_logp(op, values, *inputs, **kwargs):
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# Reduce and add the batch dims beyond the chain dimension
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reduced_logp_emissions = _add_reduce_batch_dependent_logps(
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init_logp,
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chain_rv.type, logp_emissions_dict.values()
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)
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# Add a batch dimension for the domain of the chain
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chain_shape = constant_fold(tuple(chain_rv.shape))
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batch_chain_value = pt.moveaxis(pt.full((*chain_shape, domain.size), domain), -1, 0)

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