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@dgasmith dgasmith released this 01 Dec 15:37
v2.3.0
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Learn about vigilant mode.

This release primarily focuses on expanding the suite of available path technologies to provide better optimization characistics for 4-20 tensors while decreasing the time to find paths for 50-200+ tensors. See Path Overview for more information.

New Features:

  • (#60) A new greedy implementation has been added which is up to two orders of magnitude faster for 200 tensors.
  • (#73) Adds a new branch path that uses greedy ideas to prune the optimal exploration space to provide a better path than greedy at sub optimal cost.
  • (#73) Adds a new auto keyword to the opt_einsum.contract path option. This keyword automatically chooses the best path technology that takes under 1ms to execute.

Enhancements:

  • (#61) The opt_einsum.contract path keyword has been changed to optimize to more closely match NumPy. path will be deprecated in the future.
  • (#61) The opt_einsum.contract_path now returns a opt_einsum.contract.PathInfo object that can be queried for the scaling, flops, and intermediates of the path. The print representation of this object is identical to before.
  • (#61) The default memory_limit is now unlimited by default based on community feedback.
  • (#66) The Torch backend will now use tensordot when using a version of Torch which includes this functionality.
  • (#68) Indices can now be any hashable object when provided in the "Interleaved Input" syntax.
  • (#74) Allows the default transpose operation to be overridden to take advantage of more advanced tensor transpose libraries.
  • (#73) The optimal path is now significantly faster.

Bug fixes:

  • (#72) Fixes the "Interleaved Input" syntax and adds documentation.
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