I am very excited to announce the second release of Arraymancer which includes
numerous improvements `blablabla` ...
Without further ado:
* Communauty
* There is a Gitter room!
* Breaking
* `shallowCopy` is now `unsafeView` and accepts `let` arguments
* Element-wise multiplication is now `.*` instead of `|*|`
* vector dot product is now `dot` instead of `.*`
* Deprecated
* All tensor initialization proc have their `Backend` parameter deprecated.
* `fmap` is now `map`
* `agg` and `agg_in_place` are now `fold` and nothing (too bad!)
* Initial support for Cuda !!!
* All linear algebra operations are supported
* Slicing (read-only) is supported
* Transforming a slice to a new contiguous Tensor is supported
* Tensors
* Introduction of `unsafe` operations that works without copy:
`unsafeTranspose, unsafeReshape, unsafebroadcast, unsafeBroadcast2,
unsafeContiguous`
* Implicit broadcasting via `.+, .*, ./, .-` and their in-place equivalent
`.+=, .-=, .*=, ./=`
* Several shapeshifting operations: `squeeze`, `at` and their `unsafe`
version.
* New property: `size`
* Exporting: `export_tensor` and `toRawSeq`
* `reduce` and `reduce` on axis
* Ecosystem:
* I express my deep thanks to @edubart for testing Arraymancer,
contributing new functions, and improving its overall performance. He built
[arraymancer-demos](https://github.com/edubart/arraymancer-demos) and
[arraymancer-vision](https://github.com/edubart/arraymancer-vision), check
those out you can load images in Tensor and do logistic regression on those!
Also thanks to the Nim communauty on IRC/Gitter, they are a tremendous help
(yes Varriount, Yardanico, Zachary, Krux).
I probably would have struggled a lot more without the guidance of Andrea's
code for Cuda in his [neo](https://github.com/unicredit/neo) and
[nimcuda](https://github.com/unicredit/nimcuda) library.
And obviously Araq and Dom for Nim which is an amazing language for
performance, productivity, safety and metaprogramming.
