VEDA Tensors

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mergian from gravatar.com mergian

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (3 BSD-License)
  • Author: Nicolas Weber
  • Requires: Python >=3.7
Classifiers
Report project as malware

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.

Github PyPI License Python Versions Maintenance Maintenance

Release Notes

VersionComment
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

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mergian from gravatar.com mergian

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (3 BSD-License)
  • Author: Nicolas Weber
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

0.1.9

This version

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

veda_tensors-0.1.8-py3-none-manylinux_2_17_x86_64.whl (1.9 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ x86-64

File details

Details for the file veda_tensors-0.1.8-py3-none-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for veda_tensors-0.1.8-py3-none-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 29d48b37effed310c354105babe579a78639a89b07fec6de57db5f39eac79928
MD5 6b4e75431293ea5f69c293ba1ced1d6f
BLAKE2b-256 da6ea08db7113d7be711bfba90448196d5c06b4ab9f78f7ce293bfd0ed7424fb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page