gabloa a74fbea345 Continuous bernoulli distribution (take 2) (#34619) ... Summary: We recently had a NeurIPS paper (https://arxiv.org/abs/1907.06845 and https://papers.nips.cc/paper/9484-the-continuous-bernoulli-fixing-a-pervasive-error-in-variational-autoencoders) where we introduce a new [0,1]-supported distribution: the continuous Bernoulli. This pull request implements this distribution in pytorch. Pull Request resolved: https://github.com/pytorch/pytorch/pull/34619 Differential Revision: D20403123 Pulled By: ngimel fbshipit-source-id: d807c7d0d372c6daf6cb6ef09df178bc7491abb2		2020-03-12 11:53:18 -07:00
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caffe2
cpp	Fix C++ at::Tensor docs generation (#34467)	2020-03-09 08:04:32 -07:00
source	Continuous bernoulli distribution (take 2) (#34619)	2020-03-12 11:53:18 -07:00
.gitignore
libtorch.rst
make.bat
Makefile
requirements.txt	Revert D19320493: Javadoc changes	2020-01-09 14:23:30 -08:00