Appendix 2: Support of Quantization Operator

Supported layer

  • A

active
arg
AnnotatedData
Accuracy

  • B

Bias
Batchnorm
BatchToSpace
BroadcastBinary
BN

  • C

Compare
Concat
ConstBinary
Convolution
Crop
CPU

  • D

Data
Deconvolution
DetectionOutput
Dropout
DummyData

  • E

ELU
Eltwise
EltwiseBinary
ExpandDims

  • F

Flatten

  • I

InnerProduct
Interp
ImageData

  • L

LRN

  • N

Normalize

  • O

Output

  • P

Prelu
PSROIPooling
Pad
Permute
Pooling
PoolingTF
PriorBox

  • R

ROIPooling
RPN
Relu
Reciprocal
Reduce
ReduceFull
Reorg
Reshape

  • S

Scale
Select
ShapAssign
ShapeConst
ShapeOp
ShapePack
ShapeRef
ShapeSlice
ShuffelChannel
Sigmoid
Slice
Softmax
SoftmaxWithLoss
SpaceToBatch
Split
SplitTF
squeeze
StrideSlice

  • T

Tile
TopK
Transpose

  • U

Upsample
upsampleCopy

  • Y

Yolov3DetectionOutputupsampleCopy