Pyro Discussion Forum
Aug 18, 2025 · Forum For Pyro Developers
numpyro - Pyro Discussion Forum
Jun 3, 2019 · Forum For Pyro Developers
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 …
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 …
Learning the sigma in SVI - Pyro Discussion Forum
Sep 26, 2024 · if y != None: with pyro.plate("data", len(y)): obs = pyro.sample("obs", dist.Normal(y_hat[:,0], sigma), obs=y) The sigma always ends up being the upper limit of the uniform …
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 …
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 …
Save MCMC results - Misc. - Pyro Discussion Forum
Sep 30, 2018 · Hi - I’m contributing to a library for bayesian analysis and visualization (arviz), and we are trying to add a function to convert Pyro objects into data that can be used there. As part of that, I am …
Icdf for discrete distributions - numpyro - Pyro Discussion Forum
May 23, 2025 · Hi there, I am relatively new to numpyro, and I am exploring a bit with different features. In one scenario, I am using Gaussian copulas to model some variables, one of which has a discrete …
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 …