Comments (1)
Hi, the easy way is to just copy the first function that you linked, and apply it to the input before you give it to the INN.
(And when sampling, apply the inverse).
Otherwise, if you want to have this in FrEIA.modules
, either you can do it yourself, and we would be thrilled to receive a pull-request. Or you can raise it as a feature-request issue in https://github.com/VLL-HD/FrEIA-community , then we will try to assign some one to implement it.
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Related Issues (20)
- Nice repo!!
- Incoherence between version
- Tips of this repo says 1x1 convolutions should constitute every other, or every third coupling block. What is this based on? HOT 1
- Add Flow++ HOT 2
- Expect a detailed documentation of this library
- Bug in binned.py
- Error when exporting FrEIA library to ONNX
- Adapt MLP to FrEIA framework HOT 1
- Installation problem, versions HOT 1
- FrEIA.modules.Split incorrect completion of missing dimension when initialized with section_sizes Sequence
- Dimension error about the `SequenceINN` HOT 4
- New version release on PyPI
- Some examples in the documentation are missing HOT 3
- Error in the implementation of ActNormalization HOT 6
- [BUG] Nondeterministic
- [BUG] IndexError: tuple index out of range HOT 2
- ActNorm is incorrectly implemented HOT 4
- Example of GaussianMixtureModel
- RuntimeError: NVML_SUCCESS == r INTERNAL ASSERT FAILED at "/opt/pytorch/pytorch/c10/cuda/CUDACachingAllocator.cpp":830 HOT 4
- Framework usage
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