tensorflow / tensorflow/probability
TypeError from joint_distribution(observed_time_series=co2_by_month_training_data).log_prob
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Description
I've searched around for the ScopedTFGraph but found nothing.
I'm using Python 3.10.5 and following the Notebook without modification.
TypeError: TF_TryEvaluateConstant_wrapper(): incompatible function arguments. The following argument types are supported:
1. (arg0: tensorflow.python.client._pywrap_tf_session.TF_Graph, arg1: tensorflow.python.client._pywrap_tf_session.TF_Output) -> object
Invoked with: <tensorflow.python.framework.c_api_util.ScopedTFGraph object at 0x000002052D4F6C50>, <tensorflow.python.client._pywrap_tf_session.TF_Output object at 0x000002052D62D9B0>
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Research direction
Reproduce the notebook's joint_distribution(observed_time_series=co2_by_month_training_data).log_prob call under Python 3.10.5, then inspect the TensorFlow and TensorFlow Probability versions and the graph wrapper named in the traceback. Done means identifying the compatibility problem and documenting or fixing a reproducible resolution.
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Assessment
- Tech stack
- jupyter-notebook, python, tensorflow
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100