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SparseML v0.3.1 Patch Release

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@jeanniefinks jeanniefinks released this 14 May 00:01
v0.3.1
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This is a patch release for 0.3.0 that contains the following changes:

  • DeepSparse APIs now properly referencing VNNI check
  • Block sparse masks now applied for pruning modifiers
  • Some tests marked as flaky to make tests more consistent
  • Docs updated for new Discourse and Slack links
  • Modifier code refactored to better support Automatic Mixed Precision Training (AMP) in PyTorch
  • Emulated_step added to manager for inconsistent steps_per_epoch in PyTorch
  • Serialization of block sparse-enabled pruning modifiers no longer fail on reload
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