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- Pyro Discussion Forum
Forum For Pyro Developers
- numpyro - Pyro Discussion Forum
Forum For Pyro Developers
- Batch processing numpyro models using Ray - forum. pyro. ai
Hello again, Related post: Batch processing Pyro models so cc: @fonnesbeck as I think he’ll be interested in batch processing Bayesian models anyway I want to run lots of numpyro models in parallel 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
- Help post，shape problem - Pyro Discussion Forum
with pyro plate("data", x size(0)): pyro sample("obs", dist Normal(mu, sigma), obs=y squeeze(-1),infer={"scale": annealing_factor}) #obs，真实数据+噪声
- Missing plate statement on batch dimension? - Pyro Discussion Forum
Hello, I’m new to pyro numpyro and trying to wrap my head around various details, including but not limited to shapes I’m getting the below error for my model: ValueError: Missing a plate statement for batch dimension -2 at site 'r' You can use `numpyro util format_shapes` utility to check shapes at all sites of your model
- Extra sampling site in manual guide compared to model - numpyro - Pyro . . .
i see this would appear to be a bug unsupported feature if you like, you can make a feature request on github (please include a code snippet and stack trace) however, in the short term your best bet would be to try to do what you want in pyro, which should support this
- Reducing MCMC memory usage - numpyro - Pyro Discussion Forum
I am running NUTS MCMC (on multiple CPU cores) for a quite large dataset (400k samples) for 4 chains x 2000 steps mcmc run actually ran until the end, but then died with an out-of-memory exception; 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? For
- Use of LogNormal in Numpyro - Pyro Discussion Forum
Hi everyone, I am very new to Numpyro and hierarchical modeling Recently I have been trying to build a hierarchical model where I have a hyper-prior (theta_group) which should be centered around 1 and strictly positive There is another prior (theta_part) which should be centered around theta_group I am trying to use LogNormal as priors for both: theta_group = numpyro sample("theta_group
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