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Gaussian mixture model in latent space of VAE - Misc. - Pyro …
2023年12月17日 · I was curious if pyro would easily enable putting a Gaussian mixture model (GMM) as the prior on the latent space of a VAE. I took the VAE tutorial code and changed the model to the following using MixtureSameFamily. It runs (on MNIST) but after 30 or so epochs I get NaNs. I wanted to confirm this implementation is correct in principle before trying to debug …
Beginner question on SVI: how to find parameters of a normal ...
2022年3月3日 · I have a conceptual problem getting Pyro to learn the parameters of a distribution using SVI. For some reason, SVI is not correctly learning the sigma/scale parameter of a normal distribution. Here is the problem setup: %matplotlib notebook import numpy as np import matplotlib.pyplot as plt from pyro.optim import Adam from pyro.infer import SVI, Trace_ELBO …
NumPyro vs. Pyro, SVI in Discrete Latent Variable Models
2023年11月30日 · Hi. As it is said, there is a great speed-up when implementing MCMC methods in NumPyro compared to Pyro. But from my own experience, I have had a magnificent speed-up for SVI with NumPyro when I was using a giant model that got discrete latent variables. However, I have seen some cases that there isn’t a significant difference in terms of speed between …
Bayesian Regression Tutorial: Error setting ... - Pyro Discussion Forum
2021年11月4日 · What tutorial are you running? Bayesian Regression - Introduction (Part 1) What version of Pyro are you using? Pyro Version 1.7.0 Please link or paste relevant code, and steps to reproduce. Hello! First and foremost, I just wanted to thank you for creating such an amazing library. I really love working with Pyro. In the Bayesian Linear Regression tutorial, I’m trying to …
Pyro Discussion Forum
2025年1月26日 · The Future of Pyro It’s been almost three years since we released the alpha version of Pyro in November 2017. And what a ride it’s been! We’ve been thrilled to see our user and contributor base continue to grow, with di… 1: 6774: October 15, 2020
Pyro performs dramatically slower than PyMC3 ... - Pyro Discussion …
2020年2月26日 · Hi guys, Following the discussion on issue related to the similar topic, I realized that pyro takes much longer time for stochastic-volatility model inference, in particular, when comparing to pymc3. I came across the following related discussion on pymc3 translation to pyro for a very similar model; however, it seems that the difference in computation times still …
numpyro - Pyro Discussion Forum
2019年6月3日 · Pyro Discussion Forum numpyro. Topic Replies Views Activity; About the numpyro category. 0: 828: June 3 ...
Mini-batch training of SVI models - Pyro Discussion Forum
2019年4月10日 · Are the two ways of training SVI models equivalent? The first one, as is used in pyro tutorial: # mini-batch logic defined in the model function with pyro.plate svi = pyro.infer.SVI(model, guide, optim, loss = pyro.infer.Trace_ELBO()) for i in range(num_iters): svi.step(X, y) The second one, which is more common in pytorch: from torch.utils.data import …
Sample from the mixture same family distribution - numpyro
2021年7月24日 · I know there is a feature request to add a version of MixtureSameFamily from Pyro. Following the discussion from the original thread that spawned the above [FR] , @ fehiepsi gave a snippet to generalize a mixture from the same family found here .
MCMC spawn multi-processing: bad value(s) in fds_to_keep - Misc.
2020年10月5日 · I’m attempting to run the Bayesian regression tutorial below. I’m running this in a Jupyter notebook hosted on an AWS server. I’ve been trying to get MCMC to work when num_chains is greater than 1, on a CPU. I’ve hit the following roadblocks: when mp_context is blank or “fork”, I receive RuntimeError: Unable to handle autograd's threading in combination …