-#Caffe layers supported by the Arm NN SDK
+# Caffe layers supported by the Arm NN SDK
This reference guide provides a list of Caffe layers the Arm NN SDK currently supports.
Although some other neural networks might work, Arm tests the Arm NN SDK with Caffe implementations of the following neural networks:
* QuantizedLstm
* Reshape
* Resize
-* ResizeBilinear
* Slice
* Softmax
* SpaceToBatchNd
* StridedSlice
* Subtraction
* Switch
+* Transpose
* TransposeConvolution2d
More machine learning layers will be supported in future releases.
Some layers have been deprecated and replaced by others layers. In order to maintain backward compatibility, serializations of these deprecated layers will deserialize to the layers that have replaced them, as follows:
+* Abs will deserialize as ElementwiseUnary
* Equal will deserialize as Comparison
-* Merger will deserialize as Concat
* Greater will deserialize as Comparison
+* Merger will deserialize as Concat
* ResizeBilinear will deserialize as Resize
-* Abs will deserialize as ElementwiseUnary
* Rsqrt will deserialize as ElementwiseUnary