| # 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: |
| |
| * Activation |
| * Addition |
| * 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 |
| * ResizeBilinear |
| * Rsqrt |
| * Softmax |
| * SpaceToBatchNd |
| * SpaceToDepth |
| * Splitter |
| * Stack |
| * StridedSlice |
| * Subtraction |
| * Switch |
| * TransposeConvolution2d |
| * Resize |
| |
| 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. |
