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Option to continue training from the official checkpoint #99

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@belevtsoff belevtsoff commented Mar 3, 2019

It seems like many people are interested in continuing training from the official checkpoint (e.g. to adapt the model for their own data). As discussed in #35, this pull request adds this possibility by:

  1. Implementing the forward method in glow_old.py, and
  2. replacing log-determinant in Invertible1x1Conv with log absolute determinant

During training, glow_old can be used by setting the OLD_GLOW environment variable to 1 (see the updated README.md).

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Thanks @srstevenson

Co-Authored-By: Scott Stevenson <[email protected]>
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