tensorflow / tensorflow/probability
Error in Bayesian Modeling with Joint Distribution example.
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Description
Hi, I am new to tfp and I was going through the Bayesian Modeling with Joint Distribution tutorial using the collab. There is an error while running the Hierarchical Partial pooling part, the error is as follows,
InvalidArgumentError: Automatic shape inference not supported: f64[4] and f64[18,4]
I guess this error is due to some sort of broadcasting issue while running for multiple chains but I am not able to figure out how to fix this. Any help here would be really appreciated, many people might face the same issue as this is an example.
Thanks,
Prateek
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Research direction
Start with the Hierarchical Partial pooling section in tensorflow_probability/examples/jupyter_notebooks/Modeling_with_JointDistribution.ipynb and run the linked Colab example to reproduce the reported shape-inference error. Compare the notebook and tutorial around the multiple-chain execution; done means the example runs without the InvalidArgumentError.
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Assessment
- Tech stack
- jupyter-notebook
- Domain
- documentation
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100