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  1. Pyro Discussion Forum

    Jul 2, 2025 · Forum For Pyro Developers

  2. Batch processing numpyro models using Ray - forum.pyro.ai

    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 …

  3. 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

  4. numpyro - Pyro Discussion Forum

    Jun 3, 2019 · Forum For Pyro Developers

  5. Model and guide shapes disagree at site - Pyro Discussion Forum

    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 …

  6. Extra sampling site in manual guide compared to model

    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 …

  7. Speed up Numpyro Model - Pyro Discussion Forum

    Nov 24, 2022 · I’m seeking advice on improving runtime performance of the below numpyro model. Model Description: I have a dataset of L objects. For each object, I sample a discrete …

  8. Use of LogNormal in Numpyro - Pyro Discussion Forum

    Oct 25, 2023 · Hi everyone, I am very new to Numpyro and hierarchical modeling. Recently I have been trying to build a hierarchical model where I have a hyper-prior (theta_group) which …

  9. RuntimeError: The following operation failed in ... - Pyro …

    Apr 20, 2022 · --> 294 return self._compiled_fn(*vals) 295 296 with pyro.validation_enabled(False): RuntimeError: The following operation failed in the TorchScript …

  10. 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 …