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.
Version | Comment |
v0.1.7 |
- Fixed race condition in cat
|
v0.1.6 |
|
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
|