
numpyro - Pyro Discussion Forum
Jun 3, 2019 · Forum For Pyro Developers
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 …
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
SVI on a simple model - numpyro - Pyro Discussion Forum
Jan 15, 2025 · Hi all, I’m still quite new to Numpyro and I’ve been trying to fit a simple time to event model on some simulated data. The definition of the model is as follows
SVI doesn't change parameters - Pyro Discussion Forum
Nov 7, 2018 · Usually you’d use fixed “prior” parameters in the model and learnable “posterior” parameters in the guide, and only the learnable parameters would require pyro.param …
Tensor sizes do not match while sampling - Pyro Discussion Forum
Mar 4, 2019 · In Pyro, it is required that “All dimensions must be declared either dependent or conditionally independent.” You can take a look at tensor shape tutorial to get a sense of it.
Latent categorical - numpyro - Pyro Discussion Forum
Mar 10, 2021 · It seems numpyro can model latent integers using funsor, great. In this example I want to model 2 latent groups using Dirichlet and Categorical. I am struggling with the ii …
Saving MCMC object - numpyro - Pyro Discussion Forum
Jan 11, 2021 · Hi all, What is the best way to save the MCMC results. Let’s say we successfully performed our inference with mcmc.run (in my case on remote server) and now I want to save …
Multi GPU num_samples - Pyro Discussion Forum
Jan 10, 2021 · Hello I was wondering if it’s possible to parallelize the number of particles used to estimate the ELBO over multiple GPUs (i.e. num_particles=40, and if we have 4 GPUs, then …
MNIST concerns - Tutorials - Pyro Discussion Forum
Apr 2, 2020 · please search this forum for “bayesian neural networks” and read those posts, for example this post or this post. that medium post actually contains some regrettable technical …