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Updated release notes.
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ReleaseNotes.txt

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============================== (Pending) Release Notes: v0.98 ==============================
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Support for new training algorithms:
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- Hyperparameter exploration with Adam optimizers
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- LTFB can perform inter-trainer communication via checkpoint files
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- Hyperparameter exploration with Adam optimizers
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- LTFB can perform inter-trainer communication via checkpoint files
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Support for new network structures:
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- Wassertein autoencoder
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Support for new layers:
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- Squared difference
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- Tessellate
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- Clamp
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- Squared difference
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- Tessellate
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- Clamp
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Performance optimizations:
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- Added support for node-local batch normalization
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Model portability & usability:
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- Output dumping callback exports in CSV, TSV, .npy, or .npz formats
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- Added prototype Python front end for generating model prototext files
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that is inspired by PyTorch's interface
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- Created Python library of networks and modules used for prototext
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generation
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- Support for exporting and importing models in ONNX format
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- Output dumping callback exports in CSV, TSV, .npy, or .npz formats
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- Added dedicated inference front end
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Internal features:
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- Expanded layer documentation
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- Utility class for nicely formatted descriptions
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- Expanded layer documentation
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- Utility class for nicely formatted descriptions
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- Switched to using ReadTheDocs for documentation which uses a
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combination of doxygen, breathe, and sphinx
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- Provided distinction between trainer and model objects
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- Added a generic factory template
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- Refactored front-end functionality into library class
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I/O & data readers:
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- Overhauled the I/O system to use an independent background thread
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Conduit data reader.
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Build system:
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- Support for using Spack environments feature when building
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Retired features:
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- Removed deprecated objective functions and target layer
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- Removed distributed I/O buffer layer it has been deprecated by the
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background I/O threads
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============================== Release Notes: v0.97.1 ==============================
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Bug Fixes:

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