# QNN LPAI Op Support Revision History | Introduced in QNN SDK Version | Description | | --- | --- | | 2.36.0 |
Added support for RmsNorm Op
Added support Buffer Op Padding Param
Added support for StatelessLSTM/GRU Op
Added support for BatchToSpace,SpaceToBatch,DepthToSpace,SpaceToDepth,Quantize,Dequantize
Added support for Channel_Shuffle op
Added Default Support of antialias param for ResizeBilinear Op
Add Power op support
Add LAYERNORM op support
Add SPLIT op support
Cast, ElementWisePower, ReduceProd, ResizeNearestNeighbor, Split, Layernorm
ElementWiseExp, ElementWiseLog, ElementWiseNeg, ElementWiseSquareRoot
ElementWiseAdd, ElementWiseDivide, ElementWiseMultiply, ElementWiseSubtract
Gelu, HardSwish, Relu, ReluMinMax, Sigmoid, Tanh
Added support for Resize and ElementWiseMinimum (8bit/16bit)
Added ROI support for Slice and Concat
Added support for Convert (8bit/16bit)
Added support for Pool to floor rounding mode
Removed Gather op limitation
Added support deconv with both input and output padding
Added 4-bit weights support for Conv2d, DepthWiseConv2d, TransposeConv2d
Added 8-bit support for HardSwish and Gelu
Added 16-bit support for Argmax, Argmin, Batchnorm, Conv2d, Concat, DepthWiseConv2d,
HardSwish, ElementWiseMaximum, ElementWiseAdd, ElementWiseDivide, ElementWiseExp,
ElementWiseLog, ElementWiseMultiply, ElementWiseSquareRoot, ElementWiseSubtract,
FullyConnected, Gather, Gelu, LogSoftmax, MatMul, Pad, PoolAvg2d, PoolMax2d, Prelu,
ReduceMax, ReduceMean, ReduceMin, ReluMinMax, Reshape, ReduceSum, Relu, Softmax,
StridedSlice, Sigmoid, Transpose, Tanh, and TransposeConv2d.
Fix for overflow for clip in global AvgPool
Added 8-bit signed/unsigned support for ReduceMax, ReduceMin, ReduceSum, StridedSlice,
Gather, and LogSoftMax.
Added AvgPool, MaxPool, Pad, TransposeConv2d, and StridedSlice validators.