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# The layers that ArmNN SDK Serializer currently supports.
This reference guide provides a list of layers which can be serialized currently by the Arm NN SDK.
## Fully supported
The Arm NN SDK Serializer currently supports the following layers:
* Abs
* Activation
* Addition
* ArgMinMax
* BatchToSpaceNd
* BatchNormalization
* Concat
* Constant
* Convolution2d
* DepthwiseConvolution2d
* Dequantize
* DetectionPostProcess
* Division
* Equal
* Floor
* FullyConnected
* Gather
* Greater
* L2Normalization
* Lstm
* Maximum
* Mean
* Merge
* Minimum
* Multiplication
* Normalization
* Pad
* Permute
* Pooling2d
* Prelu
* Quantize
* QuantizedLstm
* Reshape
* Resize
* ResizeBilinear
* Rsqrt
* Softmax
* SpaceToBatchNd
* SpaceToDepth
* Splitter
* Stack
* StridedSlice
* Subtraction
* Switch
* TransposeConvolution2d
More machine learning layers will be supported in future releases.
Note: Merger layer has been renamed Concat. Serializations of the old
format with Merger layers will deserialize to Concat layers to
maintain backward compatibility.
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