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
v0.1.10	Added float16 and bfloat16 enums. No computations in float16 or bfloat16 are supported!
v0.1.9	Bugfixes unary_tts Added arange
v0.1.8	Bugfixes cat
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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Release files for veda-tensors 0.1.10

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Table of built distributions (wheels) for veda-tensors 0.1.10
File	Interpreter	ABI	Platform	Reset
veda_tensors-0.1.10-py3-none-manylinux_2_17_x86_64.whl 2.0 MB Jul 9, 2026 Without provenance	Python 3	none	Linux glibc 2.17+ x86-64	Details

Release files / veda_tensors-0.1.10-py3-none-manylinux_2_17_x86_64.whl

Download URL	veda_tensors-0.1.10-py3-none-manylinux_2_17_x86_64.whl
Size	2.0 MB
Tags	Linux glibc 2.17+ x86-64 Python 3
SHA-256 checksum How to use checksums	`4ae178f9edd7fbd7113d56cb5d2ac9468231c0c25a0f8ccb6d4aac0d643ad024`
BLAKE2b-256 checksum How to use checksums	`e9ca13c837876f5722e98ed3df5b7c94740f95d91be6642f055ca4fa3a1f8e0c`
Upload date	Jul 9, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.12.3`

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