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CamDavidsonPilon / Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
MIT License
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chapter 1 - running on mac metal m2 with tfp - run into error InvalidArgumentError: 730 nodes in a cycle #562

Open salvador-vm1010 opened 1 year ago

salvador-vm1010 commented 1 year ago

Hi. I'm new to TensorFlow and TensorFlow Probability. I'm running the examples in chapter 1, and when specifying the posterior sampler I get this error when running graph_sample_chain in line 45:

InvalidArgumentError: 730 nodes in a cycle [Op:__inference_graph_sample_chain_5335]

I'm running it on a Mac with M2 Pro, metal and all TF dependencies have already been installed. Any idea of how this could be fixed?

salvador-vm1010 commented 1 year ago

Hi. Another update. I tried running it in Colab with an A100 (to make failure fast) and it hung. At least running it M2 throws the error quickly. Any ideas? Thanks!