From 0ba59f9a5a0221ffccab41cefb8d37462bd6f376 Mon Sep 17 00:00:00 2001
From: Mamy Ratsimbazafy <mamy.ratsimbazafy_dev@gadz.org>
Date: Sun, 24 Sep 2017 19:36:37 +0200
Subject: [PATCH] Add a changelog

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+
+Arraymancer v0.2.0 Sept. 24, 2017 "The Color of Magic"
+===========================================
+
+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.
+
+
+Minor revisions v0.1.1 to v0.1.3
+================================
+
+Arraymancer v0.1.0. July 12, 2017 "Magician Apprentice"
+===========================================
+
+First public release.
+
+Include:
+
+- converting from deep nested proc or array
+- Slicing, and slice mutation
+- basic linear algebra operations,
+- reshaping, broadcasting, concatenating,
+- universal functions
+- iterators (in-place, axis, inline and closure versions)
+- BLAS and BLIS support for fast linear algebra