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Releases: gorgonia/tensor

Bugfix: `ShallowClone` had a subtle bug where not all the properties of `Dense` was cloned.

04 Jan 13:21
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Pointer Arithmetics fixed

08 Dec 10:40
ef164d5
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Thanks to the new checkptr feature in go tip, a bunch of pointer arithmetics issues were found and fixed.

No API changes

Bugfix: axis decrement in aggregation functions

14 Oct 00:32
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@bdleitner fixed a bug where axes in the along array were only ever decremented by 1 to account for prior reductions, no matter how many reductions had occurred.

v0.9.1

05 Sep 00:31
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v0.9.0-beta has been running for over a year and we haven't actually taken it out of beta. Go mod doesn't like pre-releases so this causes issues.

This release is done to satisfy gomod

v0.9.0-beta

19 Aug 01:47
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v0.9.0-beta Pre-release
Pre-release

v0.9.0

The changes made in this PR is aimed at better supporting v0.9.0 of Gorgonia itself. Along the way there are some new features and optimizations, as well as some bug fixes.

The majority of the work in supporting v0.9.0 of Gorgonia is to shore up the underlying architecture to support CUDA related engines. This means moving more things to rely on Engine while keeping the engine interface overheads low. Additionally this also means better support for column major data layouts.

  • Heavier reliance on Engine for most functions. This allows for extensibility on the data structure.
  • Long standing bugbear - concepts of RowVec and ColVec has been removed (thanks to @matdodgson)
    • Touch points: ap.go, iterator.go, iterator_mult.go.shape.go, and the tests that were correct prior to this change have semantic meaning changes too.
    • POTENTIAL TECH DEBT: iterator_mult.go - the solution of filling with ones is a little too dodgy for my liking. The alternative would be to change BroadcastStrides which will change even more things (Concat, Stack etc)
  • Optimization:
    • AP has been depointerized in *Dense (thanks to @docmerlin). This reduces some amount of GC pointer chasing, but not all
    • allocation is slightly improved. ((array).fromSliceOrArrayer, (array).fix() and (array).forcefix() are part of the improvement around the logic of allocating data.
  • Bug fixes:
    • Fixes subtle errors in linear algebra functions. The result is a slightly longer function but easier to reason with.
    • Fixes some subtle bugs in Concat - see also gorgonia/gorgonia#218
    • Fixed some small bugs with regards to SampleIndex that only show up when the slices have extreme lengths. This API should have been deprecated 2 years ago, but eh... it touched a lot of external projects.
  • API changes:
    • Diag is made available. Relies heavily on an Engine's implementation
    • NewFlatIterator is unexported.
    • NewAP is unexported.
    • MakeAP is used instead.
    • (Tensor).DataOrder() is added to the definiiton of what a Tensor is.
    • (Shape).IsScalarEquiv() is a new method. This corresponds to the change of semantics of what a Shape should be.
    • (Shape).CalcStrides() is exported now. This enables users to correctly calculate strides that are consistent to what the package expects.
    • (Shape).CalcStridesColMajor() is exported as the method to calculate the strides of a Col-Major *Dense.
  • New Interfaces:
    • NonStdEngine is an Engine that does not allocate using the default allocator. This allows for both embedding a DefaultEngine` while overriding the allocation behaviour.
    • Diager - any engine that can return a tensor that only contains the diagonal values of the input
    • NaNChecker and InfChecker - engines that can check a tensor for NaN and Inf
  • New Features:
    • Added full support for colmajor tensors. (fixes #10)
      • TODO: colmajor iterator's prev() method (see #34)
    • Added serialization to Protobuf and Flatbuffers
      • TODO: Add example for serialization (see #35 and #36)
    • Added more support for sparse CS tensors.
  • New Subpackages:
    • native is a subpackage that essentially gives users a native, Go-based iterator. Basically the ability to go from a *Dense to a [][]T or [][][]T without extra allocations (for the data). This was pulled into master earlier, but as of v0.9.0, the generic version is available too.
  • Semantic Changes:
    • Shape has semantic changes regarding whether or not a shape is scalar. A scalar shape is defined to be Shape{} or Shape{1} only. Formerly, Shape{1,1} was also considered to be scalar. Now they're considered to be ScalarEquivalent (along with Shape{1, 1, .... , 1})
    • A Dtype that is is orderable is also now comparable for equality. If RegisterOrd is called with a new Dtype, it is also automatically registered as Eq.
  • Cosmetic Changes:
    • README has been updated to point to correct doc pages

v0.8.1

22 Jan 03:37
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v0.8.1 sees the built in transpose function use a different algorithm to perform inplace transpose.

Prior to this version the transpose uses a cycle-chasing algorithm. This turns out to have poor cache locality. So the solution is to replace that with one that allocates a new temporary array. The transpose operation is then simpy an iterative copying to the new array. The data is then copied from the temp array back to the original array.

v0.8.1 also sees an improvement contributed by @stuartcarnie on the FlatIterator structure. Here's the benchmark results.

benchmark                     old ns/op     new ns/op     delta
BenchmarkComplicatedGet-8     228778        199737        -12.69%

benchmark                     old allocs     new allocs     delta
BenchmarkComplicatedGet-8     2              2              +0.00%

benchmark                     old bytes     new bytes     delta
BenchmarkComplicatedGet-8     112           112           +0.00%

v0.8.0

17 Dec 19:27
863b768
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Release v0.8.0 splits the tensor package out from the original package.

  • The import is officially "gorgonia.org/tensor".
  • dep usage is now supported
  • Additional operations for tensor dot (kronecker product) is now supported.