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@ktaaaki ktaaaki released this 06 Nov 08:57
v0.3.0
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Learn about vigilant mode.

New feature

  • New field distribution.graph represents graphical model of the distribution. #119
  • Supported drawing a grapical model by networkx.draw_networkx(distribution.graph.visible_graph()). #122
  • Added tutorial notebooks. #148
    Enabled memoization for calcuration graph of pixyz to speed up. #149

Changed API

  • Renamed DataDistribution to EmpiricalDistribution. #146
  • timestep_var is no longer specified by default (t is still the default in the display), which gives the time index when evaluating step loss or calling SliceStep. #142
  • Corrected the error of the time index in the display. #142
  • Reverted the TransformedDistribution arguments to their previous (=v0.1.4) format (Inference in TransformedDistribution internally uses the result of the sample / forward called immediately before). #139
  • Removed the input_var argument of the Loss API. #150
  • Added the ConstantVar class that sets the value of a variable before calling loss.eval. #150
  • The argument order of var and cond_var in Distribution API has been unified. (Var first) #147
  • Changed the output directory of example notebooks to make it easier to browse (and automatically installed sklearn with !pip). #141

Bug fix

  • Eliminated of errors in pytorch 1.6 caused by flow's non-contiguous tensors. #140
  • Fixed bug related to documents. #138
  • Fixed a bug so that PoE does not cause an error when only one distribution is specified. #144
  • Fixed a bug when specifying the same random variable as args of init in DistributionBase. #143
  • Replaced forward call with __call__ call to take advantage of pytorch.nn.module hook options. #136
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