Aug 5, 2025 · Forum For Pyro Developers

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

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 …

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 …

Sep 18, 2023 · pyro provides access to the pytorch schedulers, and the pyro ClippedAdam also has a specific learning rate decay parameter. I can not find anything of the sort in numpyro, however, or …

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 …

Jun 3, 2019 · Forum For Pyro Developers

May 1, 2019 · Model and guide shapes disagree at site ‘z_2’: torch.Size ( [2, 2]) vs torch.Size ( [2]) Anyone has the clue, why the shapes disagree at some point? Here is the z_t sample site in the …

Jul 27, 2022 · Dear developers and other PYRO experts, I have been trying to set up an HMC/MCMC/NUTS sampling routine with PYRO, specifically by providing my own likelihood function …

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 …