Pyro Discussion Forum
Aug 18, 2025 · Forum For Pyro Developers
numpyro - Pyro Discussion Forum
Jun 3, 2019 · Forum For Pyro Developers
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
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 …
Moving MCMC from CPU to GPU - Pyro Discussion Forum
May 9, 2022 · Hi all, I’ve read a few posts on the forum about how to use GPU for MCMC: Transfer SVI, NUTS and MCMC to GPU (Cuda), How to move MCMC run on GPU to CPU and Training on single …
GPU available but slow compared to CPU on BNN example - numpyro
Nov 25, 2021 · Well, It is a VI + NeuraReparametrisation to perform a NUTS. Currently, we have found that the job runs 100% on CPU while GPU memory is activated. it’s as if the CPU was going back …
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 …
Customize gaussian process classification link function - Misc. - Pyro ...
Jul 5, 2021 · Hi All, I am new to pyro and I am trying to use pyro for gpc. I’d like to use some customized link functions e.g. cloglog or GEV link but I didn’t find out how to do it from those tutorials. Is it …
Mixture model with discrete data in Numpyro - Pyro Discussion Forum
Mar 6, 2024 · Hi. Apologies for the rather long post. I am trying to modify the code from the Gaussian mixture model tutorial (I have also pulled bits of code from various other posts on this forum and …
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 …