issues
search
masa-su
/
pixyz
A library for developing deep generative models in a more concise, intuitive and extendable way
https://pixyz.io
MIT License
491
stars
41
forks
source link
Develop/v0.2.1
#135
Closed
ktaaaki
closed
4 years ago
ktaaaki
commented
4 years ago
Updates
133 Enabled to use time-specific step losses without extension of slice function
127, #130 Changed the output directory of example notebooks to make it easier to browse (and automatically installed sklearn with
!pip
)
126 Reverted the TransformedDistribution arguments to their previous format (use memoization to get the log-likelihood)
Bugfix
134 Elimination of errors in the latest version of pytorch caused by flow non-contiguous tensors
133 Fixed a bug related to timestep_var in Iterative Loss
132 Fixed a bug when specifying the same random variable as args of
init
in DistributionBase
124 Fixed a bug so that PoE does not cause an error when only one distribution is specified
Updates
133 Enabled to use time-specific step losses without extension of slice function
127, #130 Changed the output directory of example notebooks to make it easier to browse (and automatically installed sklearn with
!pip)126 Reverted the TransformedDistribution arguments to their previous format (use memoization to get the log-likelihood)
Bugfix
134 Elimination of errors in the latest version of pytorch caused by flow non-contiguous tensors
133 Fixed a bug related to timestep_var in Iterative Loss
132 Fixed a bug when specifying the same random variable as args of init in DistributionBase
124 Fixed a bug so that PoE does not cause an error when only one distribution is specified