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Batch processing pyro models so cc This function is fit to observed data points, one fit per object @fonnesbeck as i think he’ll be interested in batch processing bayesian models anyway

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I want to run lots of numpyro models in parallel I have a dataset of l objects I created a new post because

This post uses numpyro instead of pyro i’m doing sampling instead of svi i’m using ray instead of dask that post was 2021 i’m running a simple neal’s funnel.

I am running nuts/mcmc (on multiple cpu cores) for a quite large dataset (400k samples) for 4 chains x 2000 steps I assume upon trying to gather all results (there might be some unnecessary memory duplication going on in this step?) are there any “quick fixes” to reduce the memory footprint of mcmc Hi everyone, i am very new to numpyro and hierarchical modeling

There is another prior (theta_part) which should be centered around theta_group I am trying to use lognormal as priors for both Hi, i’m trying to write a manual guide for a model I have a 2d array of parameters that i’ve defined like this

Model and guide shapes disagree at site ‘z_2’

Torch.size ( [2, 2]) vs torch.size ( [2]) anyone has the clue, why the shapes disagree at some point Here is the z_t sample site in the model Z_loc here is a torch tensor wi… Hi, i’m new to pyro and trying to understand the basics of bayesian regression from a bayesian linear regression example

I’m seeking advice on improving runtime performance of the below numpyro model