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SparseML v0.1.0 First GitHub Release
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@jeanniefinks jeanniefinks released this 04 Feb 21:22
· 1 commit to release/0.1 since this release
v0.1.0
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Welcome to our initial release on GitHub! Older release notes can be found here.

New Features:

  • Keras Alpha for optimizing models using pruning added.
  • PyTorch 1.7 is supported.
  • PyTorch distributed supported for built-in training flows.
  • Torchvision models added to PyTorch ModelRegistry class.
  • MakeFile flows and utilities implemented for GitHub repo structure.

Changes:

  • Software packaging updated to reflect new GitHub distribution channel, from file naming conventions to license enforcement removal.
  • Migration made to use the SparseZoo package for loading pre-trained models and recipes.
  • Migration made to use DeepSparse Engine for analyzing and benchmarking ONNX models.
  • ONNX and ONNXRuntime dependency versions updated to include latest.

Resolved Issues:

  • Infinite recursion resolved for the PyTorch ScheduledOptimizer in nested optimizer flows.
  • tf2onnx folding nodes now working with Sparsify.

Known Issues:

  • TensorFlow pre-trained models are not pushed currently in the SparseZoo and will fail to load.
  • TensorFlow V1 is no longer being built for newer operating systems such as Ubuntu 20.04. Therefore, SparseML with TensorFlow V1 is unsupported on these operating systems as well.
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