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1.5.2 (2023-05-10)

  • Fixed issue with CIFAR data loaders not being able to be pickled because of local Lambda operations
  • Fixed CI issues, disabled PyTorch v1.0, v1.1, and latest checks

1.5.1 (2021-08-07)

  • Added support for 2-dimensional inputs for AffineAdapterSigmoid
  • Fixed CI issues

1.5.0 (2020-11-24)

  • Added support for mixed-precision training using torch.cuda.amp (inputs fixed to float32 for now)
  • Added support for PyTorch v1.7
  • Dropped support for PyTorch < v1.0 and Python 2
  • Removed the version limit for Pillow in the requirements

1.4.0 (2020-06-05)

  • Added support for splitting on arbitrary dimensions to the Couplings. Big thanks to ClashLuke for the PR
  • Added a preserve_rng_state option to the InvertibleModuleWrapper

1.3.2 (2020-03-05)

  • Improved InvertibleModuleWrapper * Added support for multi input/output invertible operations! Big thanks to Christian Etmann for the PR
  • Improved the is_invertible_module test * Added multi input/output checks * Fixed random seed per default * Additional warning checks have been added

1.3.1 (2020-03-02)

  • HOTFIX InvertibleCheckpointFunction uses ref_count for inputs as well to avoid memory spikes

1.3.0 (2020-03-01)

  • Updated underlying mechanics for the InvertibleModuleWrapper * Hooks have been replaced by a torch.autograd.Function called InvertibleCheckpointFunction * Identity functions are now supported
  • Reported unstable memory behavior should be fixed now when using the InvertibleModuleWrapper!
  • Minor changes to test suite

1.2.1 (2020-02-24)

  • Added InvertibleModuleWrapper support to is_invertible_module test

1.2.0 (2020-01-19)

  • Replaced TensorBoard logging with simple json file logging which removed the cumbersome TensorBoard and TensorFlow dependencies
  • Updated the Dockerfile for Python37 and PyTorch 1.4.0
  • Updated the CI tests Py36 versions to Py37, also added a new CI test for PyTorch 1.4.0

1.1.1 (2020-01-11)

  • Fixed some versions in the requirements for TensorFlow and Pillow to avoid errors and segfaults
  • The module auto documentation has been updated for the new API changes

1.1.0 (2019-12-15)

  • A complete refactor of MemCNN with changes to the API
  • Factored out the code responsible for the memory savings in a separate InvertibleModuleWrapper and reimplemented it using hooks
  • The InvertibleModuleWrapper allows for arbitrary invertible functions now (not just the additive and affine couplings)
  • The AdditiveBlock and AffineBlock have been refactored to AdditiveCoupling and AffineCoupling
  • The ReveribleBlock is now deprecated
  • The documentation and examples have been updated for the new API changes

1.0.1 (2019-12-08)

  • Bug fixes related to SummaryIterator import in Tensorflow 2 (location of summary_iterator has changed in TensorFlow)
  • Bug fixes related to NSamplesRandomSampler nsamples attribute (would crash if no-gpu and numpy.int were given)

1.0.0 (2019-07-28)

  • Major release for completing the JOSS review:
  • Anaconda cloud and codacy code quality CI
  • Updated/improved documentation

0.3.5 (2019-07-28)

  • Added CI for anaconda cloud
  • Documented conda installation steps
  • Minor test release for testing CI build

0.3.4 (2019-07-26)

  • Performed changes recommended by JOSS reviewers:
  • Added requirements.txt to manifest.in
  • Added codacy code quality integration
  • Improved documentation
  • Setup proper github contribution templates

0.3.3 (2019-07-10)

  • Added docker build triggers to CI
  • Finalized JOSS paper.md

0.3.2 (2019-07-10)

  • Added docker build shield
  • Fixed a bug with device agnostic tensor generation for loss.py
  • Code cleanup resnet.py
  • Added examples to distribution with pytests
  • Improved documentation

0.3.1 (2019-07-09)

  • Added experiments.json and config.json.example data files to the distribution
  • Fixed documentation issues with mock modules

0.3.0 (2019-07-09)

  • Updated major bug in distribution setup.py
  • Removed older releases due to bug
  • Added the ReversibleBlock at the module level
  • Splitted keep_input into keep_input and keep_input_inverse

0.2.1 (2019-06-06 - Removed)

  • Patched the memory saving tests

0.2.0 (2019-05-28 - Removed)

  • Minor update with better coverage and affine coupling support

0.1.0 (2019-05-24 - Removed)

  • First release on PyPI