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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
Model and guide shapes disagree at site - Pyro Discussion Forum 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 hellip;
Variational Inference for Dirichlet process clustering - Pyro . . . Hi there! This is my first time using Pyro so I am very excited to see what I can built with it 🙂 Specifically, I am trying to do finite Dirichlet Process clustering with Variational Inference I want to generalize this into a Chinese Restaurant Process involving an “infinite” number of states But for now, I am just generating 1-D data from 3 Gaussians with proportions given by a