Help post，shape problem - Pyro Discussion Forum
Apr 25, 2025 · 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
Batch processing numpyro models using Ray - forum.pyro.ai
Mar 14, 2025 · 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 …
Pyro Discussion Forum
Aug 14, 2025 · Forum For Pyro Developers
Implementation & normalizing flow in matrix normal distribution
Nov 1, 2024 · Hi, I’m working on a model where the likelihood follows a matrix normal distribution, X ~ MN_{n,p} (M, U, V). I’m using conjugate priors: M ~ MN U ~ Inverse Wishart V ~ Inverse Wishart As …
Reducing MCMC memory usage - numpyro - Pyro Discussion Forum
Oct 15, 2023 · 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 …
Denoising VAE - Tutorials - Pyro Discussion Forum
Jul 10, 2024 · Hi, I’m using the latest pyro and tutorials. In another place I have a BVAE pytorch implementation that trains on audio waveforms and denoises them by losing information during …
Extra sampling site in manual guide compared to model - numpyro
Mar 12, 2025 · 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 …
Variational Inference for Dirichlet process clustering - Pyro ...
Jan 31, 2018 · 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 …
How to calculate probability as correlation matrix? - Tutorials - Pyro ...
Jun 15, 2021 · We just want to calculate the co-occurrence probability of features (output like a correlation matrix, Input is an M*N matrix (M features, N samples). From our experience, we have …
Understanding chain_method - numpyro - Pyro Discussion Forum
Jun 11, 2023 · First of all, thank you for this great library! I am trying to run a model that has a computationally intensive likelihood function. That is, in the definition of my numpyro model, I have a …