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CHANGELOG.md

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Changelog

v0.2.0

  • Use random session id on calls to AsyncTestRuntime via python bindings.
  • Switch to FuturesUnordered for more efficient wait on computation completion
  • Support arbitrary fixedpoint precision pairs from python bindings
  • More complete support of tensor types kernels
  • AsyncSession is now Send (can be sent between threads)
  • Enable use of Shape values on non-Host placement types
  • Add ZerosOp on a host placement (create a vector of zeros of a given shape)
  • Add Tensorflow Keras support
  • Add ReLU activation function (for multilayer perceptron and NN)

v0.1.6

  • Memory usage optimizations and reduced cloning
  • Wellformed compiler pass to statically verify a computation with elk: elk compile -p wellformed comp.moose
  • TLS support for gRCP networking
  • PyTorch neural networks support
  • Elk now supports all three computation formats (textual, msgpack, and bincode)
  • Ensures tensors are in “standard layout” (i.e. contiguous & row-major)
  • Added local file storage to moose modules (reading csv and numpy data files supported)
  • start_server convenance method added to gRPC network plugin

v0.1.5

  • Significant RAM usage improvements throughout the codebase
  • Add Multilayer Perceptron (MLP), a type of neural network to pymoose predictors
  • PrimDeriveSeed operator renamed to DeriveSeed
  • PrimPrfKeyGen operator renamed to PrfKeyGen
  • Added Host prefix to Seed, PrfKey and Unit
  • Unified MeanOp and fuse RepFixedpointMeanOp with RingFixedpointMeanOp
  • Using BitVec as the data storage for HostBitTensor
  • Replace sodium oxide with thread_rng and blake3
  • Fix binary LinearClassifier logic

Other changes

  • Uniform textual format for rendezvous and sync keys

v0.1.4

  • A bugfix to produce less verbose errors

v0.1.3

  • Upgraded nom to 7.1 to deal with the floating point parser problems
  • Switched base array from ndarray::Array to ndarray:ArcArray
  • Deprecated to_bytes/from_bytes in favour fo to_msgpack/from_msgpack.

v0.1.2

Release notes

This is the first "stable" release with a complete set of public APIs. Future releases are expected to contain instructions for migration from the previous "stable" version.

Changed

  • Symbolic compilation support
  • Sufficient primitives to execute AES decryption
  • Sufficient primitives to execute custom models, including linear regression and XGBoost decision trees.

Fixed

  • NA