tensorflow / tensorflow/probability
InvalidArgumentError: Requires start <= limit when delta > 0: 0/-1 [Op:Range]
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Description
What does this error mean when trying to get a prediction out of the model?
InvalidArgumentError: Requires start <= limit when delta > 0: 0/-1 [Op:Range] name: sequential_1/variational_gaussian_process/sequential_1_variational_gaussian_process_sequential_1_variational_gaussian_process_transposesequential_1_variational_gaussian_process_Independentsequential_1_variational_gaussian_process_VariationalGaussianProcess/value/sequential_1_variational_gaussian_process_sequential_1_variational_gaussian_process_transposesequential_1_variational_gaussian_process_Independentsequential_1_variational_gaussian_process_VariationalGaussianProcess/sample/sequential_1_variational_gaussian_process_transpose/forward/range/
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No source file, test, or reproducible example is provided. Start with the reported prediction attempt and the TensorFlow Probability Range operation path, then determine the input that produces the invalid 0/-1 bounds; done means documenting the cause and a verified resolution.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100