Version 0.30.0

New Features

• float64() conversion (thanks @eserie)
• slogdet() implementation (thanks @eserie)
• support for __matmul__ (thanks @eserie)
• topk() implementation (thanks @mglisse)

Bug Fixes

• fixed JAX array recognition (thanks @zimmerrol)
• minor changes to support TensorFlow compilation (thanks @eserie)

Version 0.29.0

New Features

• indexing with multiple tensors now supports more cases
• massively improved docs and guides

Version 0.28.0

New Features

• added prod()
• added development documentation
• improved the reliability of the tests
• other improvements and bug fixes

Version 0.27.0

squeeze now raises an error if a concrete axis is specified and this axis does not have length 1

Version 0.26.0

New Features

• added sort
• pow now accepts tensors for the exponent
• docs are now automatically build on GitHub

Version 0.25.2

specified version numbers for dependencies

Version 0.25.1

Fixed PyPI compatibility

Version 0.25.0

New Features

• added flatten() with additional start and end parameters
• added boolean tensor indexing, i.e. tensor[boolean_mask]
• other improvements and bug fixes

Version 0.24.0

New Features

• Tensor.__iter__() is now implemented (instead of relying on __getitem__ for iteration, which was inconsistent)
• norms.l0 now returns the same dtype as the input (previously returned int, being inconsistent with other lp norms)
• mean now requires float inputs for all frameworks (previously only for PyTorch and TensorFlow) and throws an appropriate error rather than crashing
• sum is now guaranteed to work with int and float tensors as well
• fixed a bug in sum for boolean TensorFlowTensor instances

Version 0.23.0

New Features

• Tensor.numpy() now returns a read-only array for all frameworks (previously this was inconsistent between frameworks and caused bugs because the numpy array may share memory with the actual tensor)