VEDA Tensors

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  • License: BSD License (3 BSD-License)
  • Author: Nicolas Weber
  • Requires: Python >=3.7
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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.

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Release Notes

VersionComment
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

Project details

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  • License: BSD License (3 BSD-License)
  • Author: Nicolas Weber
  • Requires: Python >=3.7
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This version

0.1.10

0.1.9

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

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