tensorflow / tensorflow/probability
FFJORD: Calculating for multiple final timesteps
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Description
In reference to the FFJORD bijector, I can see in its argument final_time, it only supports a single time-step (i.e. scalar).
Now, what I want is to have it calculate for multiple time-steps (i.e. say given an initial_state=x0 and initial_time = 0.0 and final_times=[1.0,2.0,3.0], then it should return calculated values for these 3 time steps). For reference, the original implementation by the authors of FFJORD paper in Pytorch supports calculating for multiple time steps: https://github.com/rtqichen/ffjord
Is there a way to implement the same in Tensorflow?
TIA
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Research direction
Start with the FFJORD bijector and its final_time argument, then compare the linked authors' PyTorch implementation. Define the expected behavior for initial_state=x0, initial_time=0.0, and final_times=[1.0,2.0,3.0]; done means TensorFlow Probability can return values at all requested times while preserving existing scalar behavior.
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Assessment
- Tech stack
- pytorch, tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100