Releases: kendryte/nncase
Releases · kendryte/nncase
nncase v1.5.0
nncase v1.4.0
nncase v1.3.0
nncase v1.2.0
nncase v1.1.0
Major changes
- K210 can accelerate Conv2DTranspose (#421)
- Support ONNX ops (
QuantizeLinear
,Random*
,ReduceLogSum/ReduceLogSumExp/ReduceSumSquare
,Celu/Selu/Softplus/Softsign
,LogSoftmax
,Size
,SpaceToDepth
,Sign
,ReduceProd
,Where
,Tile
,ReverseSequence
,Lstm
) (#424 , #427 , #429 , #437 , #439 , #441 , #442 , #444 , #445 , #446 , #447 , #449, #425 ) - Make letterbox preprocess optional (#448 )
- Add python interface document
- Minor bug fixes
nncase v1.0.0
nncase v1.0.0 rc1
nncase v1.0.0 beta2
nncase v1.0.0 beta1
Major changes
- Upgrade to kmodel v5
- Python compiler interface
- Support preprocess methods:
normalize
letter box
- More PTQ methods:
l2
kld_m0
kld_m1
kld_m2
cdf
- More TFLite ONNX & Caffe Ops
- Plugable compiler backends
- Ready for K510
New examples
NNCase v0.2.0 Beta4
Major changes
- Add
--weights-quantize-threshold
,--output-quantize-threshold
and--no-quantized-binary
(See usage)
Bugs fixes
- Fix a bug in binary ops optimization
- Fix a bug in k210 pooling optimization
- Some bug fixes in tflite and onnx importer