Comments (2)
janfb
commented on August 17, 2024
We could save the target_samples as .npy array and load them using np.load?
Thats actually the case, so does loading with np work?
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jan-matthis
commented on August 17, 2024
We will get around this annoying bug by storing ground truth samples using torch.save/.load. For SLCP, we are still discussing regarding generating ground truth in the benchmarks channel. Once this is settled, I'll add them.
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Related Issues (20)
- Distribution.log_prob() got an unexpected keyword argument 'condition' HOT 9
- Drop support for python 3.8?
- Use conventional commits and commit linter? HOT 1
- Density Estimator batched sample mixes up samples from different posteriors
- unable to import `posterior_nn` from `sbi.neural_nets` in v0.22.0 HOT 8
- GPU compatible (L-)C2ST
- hardcoded transfer of data and model to cpu triggers UserWarning
- Pyright failing on main in pyro flows HOT 2
- Create web hook for SBI discord server. HOT 1
- Improving the structure of the documentation and website HOT 1
- Analysis tests file on GPU HOT 1
- Remove UserWarning about GPU speed up HOT 1
- categorial mass estimator and mnle fails for 2D density estimator test HOT 2
- Using MCMCPosterior gives 'Sequential' object has no attribute 'log_prob' HOT 3
- `simulate_for_sbi` not saturating CPU HOT 11
- Slow L-C2ST test fails locally HOT 2
- `pairplot` with 1 dimensional tensor returns an error HOT 2
- `sbi.analysis` seems broken because `np.string_` was removed in the NumPy 2.0 release. HOT 8
- refactor neural_nets module HOT 1
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