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CHANGELOG.md

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Change Log

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog and this project adheres to Semantic Versioning.

Unreleased

[1.2.0] - 2020-04-06

Added

  • Full TF 2 support, including e.g. the Keras module.
  • Added bilinear_ab function
  • Fix some dtype bugs

Changed

  • Switch to TF 2.4

1.1.0 - 2019-10-22

Added

  • Proper documentation with tutorials.
  • Benchmarks.
  • Asymptotic complexities of some function in the docstrings.
  • Eager mode support.
  • Ops have name scopes now.
  • Riemannian autodiff (Yey!)
  • Better support for using dtypes other than float32.
  • Neural network module.

Changed

  • Change to support TF 1.12-1.14 instead of TF 1.0-1.4
  • Bug fixes.
  • Bug fix in benchmarks.
  • Rename quadratic_form to bilinear_form.
  • Better test coverage.

1.0.0 - 2018-01-08

Added

  • API reference documentation.
  • Coveralls test coverage.
  • add_projected function for adding tensors from the same tangent space.
  • add_n_projected function.
  • Test TF 1.0-1.4
  • Test Python 2.7, 3.4, 3.5, 3.6
  • tf.kronecker module for working with Kornecker product matrices (TT-matrices of TT-rank 1).
  • Example Jupyter notebooks with basic functionality, TensorNet (training neural networks with params in the TT-format), Riemannian optimization, and tensor completion.
  • A profiler for basic operations on CPU and GPU.
  • approximate.add_n function for adding together a batch of tensors and rounding after each summation.
  • Manually import all the relevant function in init and avoid importing internal tools.
  • gather_nd for gathering several elements from a TT-objects at once.
  • Overload operations to support a - b, a + -b, 0.4 * a.
  • Add complexities of some functions into the docstrings.

Changed

  • Speed improvements (in particular to quadratic_form).
  • Bug fixes.
  • Multiplication by a number uniformly multiplies all cores (improved stability for large tensors).
  • Better test coverage.

0.3.0 - 2017-04-20

Added

  • Python 3 support.
  • Speed improvements.
  • Bug fixes.
  • Travis CI.
  • project_matmul -- fast projection of matrix-by-vector product.
  • pairwise_flat_inner_projected -- fast pairwise dot products between projections on the same tangent space.
  • multiply_along_batch_dim
  • Support for indexing with placeholders or tf.Tensors.
  • Support for t3f.cast(batch_tt).
  • A function to replace tf.svd by np.svd.

Changed

  • Better Frobenius norm implementation (via QR).
  • Riemannian projection API: now it's project(what, where).

0.2.0 - 2017-03-23

Added

  • (Partial) support for batches of TT-tensors.
  • Riemannian module (projection on the tangent space).
  • op property and str method for TensorTrain
  • concat_along_batch_dim
  • expand_batch_dim
  • gram_matrix
  • Multiplication by a number

Changed

  • Fix add function for dtypes not equal tf.float32
  • flat_inner and quadratic_form now return numbers (instead of 1 x 1 tensors)

0.1.0 - 2017-03-12

Added

  • Indexing (e.g. TensorTrain[:, 3, 2:4])
  • Full (converting TT to dense)
  • TT-SVD and rounding
  • Basic arithmetic (add, multiply, matmul, flat_inner)
  • Variables support
  • Kronecker module (functions for TT-rank 1 TT-matrices)
  • quadratic_form
  • frobenius_norm