Project description

VEDA Tensors Library

VEDA Tensors is a library to provide generic usable high performance kernels usually used in AI frameworks. VEDA Tensors is still beta and far from being complete.

Python Versions Maintenance

Release Notes

Version	Comment
v0.1.7	Fixed race condition in cat
v0.1.6	Added VE3 support
v0.1.5	Added unary `Not` Bugfixes for NCC >= 5
v0.1.4	Upgraded to VEDA 2.0 Added `Log1P`
v0.1.3	Fixed dtype checking in `veda_tensors_unary_c`
v0.1.2	Added L0, L1, L2 to `veda_tensors_reduce_dim` Added `veda_tensors_unary_ts` Added `veda_tensors_unary_tss` Added `veda_tensors_unary_ttt` Added `veda_tensors_where` Added `veda_tensors_binary_s` Added `veda_tensors_softmax` Added `VEDA_TENSORS_UNARY_CLAMP` Added `VEDA_TENSORS_UNARY_POW` Improved performance of several functions.
v0.1.1	Added AdaDelta, AdaGrad, Adam and AdaMax optimizer functions
v0.1.0	Initial Release

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This version

0.1.7

Jul 15, 2024

0.1.6

Jun 28, 2024

0.1.5

Oct 5, 2023

0.1.4

Apr 28, 2023

0.1.3

Oct 17, 2022

0.1.2

Jun 29, 2022

0.1.1

May 10, 2022

0.1.0

Mar 23, 2022

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