Neureka 1.0.0

What's Changed

• Important: Final API changes for the first stable version: Tsr is now called Tensor

New features

• The reshape operation is now differential

Also

• Important bug fixes

Full Changelog: v0.21.0...v1.0.0

Neureka 0.21.0

What's Changed

• 12 add transpose and permute API and improve related implementation details by @Gleethos in #13
• Introduce dot product support as its own operation by @Gleethos in #15
• 16 introduce reshaping as a differentiable operation by @Gleethos in #17
• Issue 19 tensor instantiation API refinement for next release 0 21 0 by @Gleethos in #20

Also

• Intensive testing and bug fixing of the autograd system.
• Stable and error free convergence of large NN graphs.
• Tensor ND Layout improvements (column major is now only a property concerning the last 2 dimensions)

Full Changelog: v0.20.1...v0.21.0

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This is the last release before version 1.0.0 which will have a stable long term API.

v0.20.1 - Bug Fixes

What's Changed

• Issue 10 failed to convert this tensor from its original layout by @Gleethos in #11

Full Changelog: v0.20.0...v0.20.1

v 0.20.0 - Bug Fixes and the Introduction of Shape

What's Changed

• Added styling to side nav, refactored css by @mischulz14 in #5
• 6 introduce a shape type to improve the neureka api by @Gleethos in #7
• Issue 8 release v0.20.0 preparations by @Gleethos in #9

New Contributors

• @mischulz14 made their first contribution in #5 (Thank you!)

Full Changelog: v0.19.0...v0.20.0

v0.19.0

Full Changelog: v0.18.0...v0.19.0

v0.18.0 - Min, Max, Sum and General API Refinement

Full Changelog: v0.17.0...v0.18.0

v0.17.0 - Tensor Concatenation

• New concat function for mergin tensors alongside a specified axis (+ autograd support).
• Introduce full png support for FileDevice.
• Improve back-end code quality.
• Important bug fixes!
• Improved documentation.

Full Changelog: v0.16.0...v0.17.0

v0.16.0 - New activation functions

• Countless new activation function types (SeLU, SiLU, GeLU, Softsign...).
• Improved performance for virtual tensors and activations.
• Improved mutability safety of tensors by making its standard data accessing methods return clones.
• Simplify Device interface and introduce optional Access API for accessing tensors stored on devices.
• Improve tensor type interoperability for both CPU and GPU (only for storing tensors).
• Countless new activation function types.
• Improve back-end code quality.
• Important bug fixes!

Full Changelog: v0.15.0...v0.16.0

v0.15.0 - Small performance improvements

• Improved performance for conversion between column and row major data layout.
• Make performance critical classes final (NDIterator types)
• Improve back-end code quality by making ExecutionCalls hard to mutate.
• Important bug fixes!

Full Changelog: v0.14.0...v0.15.0

v0.14.0 - Both Column & Row Major Support and fast OpenCL Matrix Multiplication

• Support for both column and row major data layout.
  • Transposing a tensor converts between the two layouts.
  • Possibility to convert between the two type (mutable method in the unsafe API).
• New fast OpenCL matrix multiplication for column j´major matrices.
• More specialized NDConfiguration and NDIterator implementations for better general performance.
• Important bug fixes!