Comments (3)
Hi @maelle101 , thank you for your comment!
At the moment, you need to manually use several tensorflow saving/loading functions for each of your predicates. I imagine that if we have a wrapper like proposed in issue #25 , we could have some saving/loading for the entire theory.
If someday you upload your project somewhere, could you link it here so we can look at what kind of features you expect? Thank you!
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Hello @sbadredd,
Thanks for your answer.
I won't be allowed to share the whole project but I am currently implementing a kind of wrapper for my Ltn architecture.
I may share it, even if it is adapted to my needs, it may be useful for other persons.
Have a good day !
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Thanks. I appreciate it!
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Related Issues (20)
- Lambda for functions need to be implemented using Functional API of TF HOT 2
- Add PEP 484 Type Annotations
- Add tests
- Create classes for Variable, Constant and Proposition
- Support masks using LTN syntax instead of TensorFlow operations
- Add a constructor for variables made from trainable constants
- Parent classes for Terms and Formulas
- Adapt examples to API changes
- Adapt tutorials to API changes
- Add runtime Type Checking when constructing expressions
- Error in the axioms of the clustering example HOT 1
- ValueError: mask cannot be scalar. HOT 9
- Using wrapper with new version HOT 1
- automated translation of tptp problems to ltn axioms HOT 1
- Allow to permanently `diag` variables
- Imbalanced classification HOT 3
- Weighted connective operators HOT 1
- Add a ltn.Predicate constructor that takes in a logits model HOT 1
- Update tensorflow dependency for apple silicon machines
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