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pull request commentspebern/tch-distr-rs

Add distribution Categorical

Also works on my machine

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add distribution Categorical

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Merge pull request #11 from dbsxdbsx/master Add distribution Categorical

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Add distribution Categorical

1.Add distribution Categorical; 2.To make test of distribution Categorical, I changed a little for test method assert_tensor_eq--- to make all object to be tested within type f64; 3.I do add code for mean and variance for the distribution, but I don't know how to deal with it when there is Nan, so I commented related code; 4.For sample of distribution Categorical, the result should be conssistent, but just for one example, the resulted 2 objects after as_cell_slice are different, I think it a issue of crate numpy, so I raised an issue there: https://github.com/PyO3/rust-numpy/issues/203.

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issue closedspebern/tch-distr-rs

Fix CI

The CI is a little bit tricky because we test against python. We need some additional dependencies:

  • python
  • pytorch
  • nighly rust (PyO3 requirement)

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fix test_sample and method of some distribution

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Merge pull request #10 from dbsxdbsx/master fix test_sample and method of some distributions --- "MultivariateNormal","Bernoulli" and "Uniform"

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PR merged spebern/tch-distr-rs

fix test_sample and method of some distributions --- "MultivariateNormal","Bernoulli" and "Uniform"
  1. For distribution "MultivariateNormal","bernoulli" and "uniform", fixed (invalid) and enriched test samples for each distribution.
  2. For distribution "MultivariateNormal", add method rsample, and delete method sample.
  3. For distribution "MultivariateNormal", fix the method precision_to_scale_tril and the parsed parameter when initilazing with "precision".
  4. set method sample of trait Distribution as "unimplemented!()", because some distribution does not have method sample, like "MultivariateNormal".

After this pull request, all test should be passed.

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pull request commentspebern/tch-distr-rs

fix test_sample and method of some distributions --- "MultivariateNormal","Bernoulli" and "Uniform"

Thanks a lot!

Since you seem to be using this package, do you think it makes sense to publish it to crates.io at some point? Anything that is missing before publishing some version?

All the best, Ben

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pull request commentspebern/tch-distr-rs

add method "rsample" for distribution normal

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add method "resample" for distribution normal

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Merge pull request #9 from dbsxdbsx/master add method "rsample" for distribution normal

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add method "rsample" for distribution normal

For distribution "Normal", I add a method called rsample, just like the method in pytorch, which is useful when tracking gradient of distribution "Normal". And to complete rsample, a function called standard_normal is added to file utils.rs. Finally, for testing, I add a function called test_rsample_of_normal_distribution.

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pull request commentspebern/tch-distr-rs

Update test code with latest pyo3

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update test code with latest pyo3

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Merge pull request #8 from dbsxdbsx/master Update test code with latest pyo3

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PR merged spebern/tch-distr-rs

Update test code with latest pyo3

With the latest version of pyo3(0.14), it warned that call1 is deprecated. Therefore, I update these code with pyo3 recommended way.

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pull request commentspebern/tch-distr-rs

Upgrade to latest PyTorch (v1.9)

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Point to last tch crate instead of the git repo

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tch 0.5.0 - PyTorch 1.9

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FIX workflow

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Merge pull request #7 from dpuyosa/master Upgrade to latest PyTorch (v1.9)

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PR merged spebern/tch-distr-rs

Upgrade to latest PyTorch (v1.9)
  • Updated cargo.toml
  • Updated to tch 0.50 method names
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