1 files changed, 0 insertions, 84 deletions
diff --git a/src/armnn/InternalTypes.hpp b/src/armnn/InternalTypes.hpp
index 6e6559137c..9850520116 100644
--- a/src/armnn/InternalTypes.hpp
+++ b/src/armnn/InternalTypes.hpp
@@ -8,93 +8,9 @@
 
 #include <array>
 
-
-/// This list uses X macro technique.
-/// See https://en.wikipedia.org/wiki/X_Macro for more info
-#define LIST_OF_LAYER_TYPE \
-    X(Activation) \
-    X(Addition) \
-    X(ArgMinMax) \
-    X(BatchNormalization) \
-    X(BatchToSpaceNd) \
-    X(Comparison) \
-    X(Concat) \
-    X(Constant) \
-    X(ConvertBf16ToFp32) \
-    X(ConvertFp16ToFp32) \
-    X(ConvertFp32ToBf16) \
-    X(ConvertFp32ToFp16) \
-    X(Convolution2d) \
-    X(Debug) \
-    X(DepthToSpace) \
-    X(DepthwiseConvolution2d) \
-    X(Dequantize) \
-    X(DetectionPostProcess) \
-    X(Division) \
-    X(ElementwiseUnary) \
-    X(FakeQuantization) \
-    X(Fill) \
-    X(Floor) \
-    X(FullyConnected) \
-    X(Gather) \
-    X(Input) \
-    X(InstanceNormalization) \
-    X(L2Normalization) \
-    X(LogicalBinary) \
-    X(LogSoftmax) \
-    X(Lstm) \
-    X(QLstm) \
-    X(Map) \
-    X(Maximum) \
-    X(Mean) \
-    X(MemCopy) \
-    X(MemImport) \
-    X(Merge) \
-    X(Minimum) \
-    X(Multiplication) \
-    X(Normalization) \
-    X(Output) \
-    X(Pad) \
-    X(Permute) \
-    X(Pooling2d) \
-    X(PreCompiled) \
-    X(Prelu) \
-    X(Quantize) \
-    X(QuantizedLstm) \
-    X(Reshape) \
-    X(Rank) \
-    X(Reduce) \
-    X(Resize) \
-    X(Slice) \
-    X(Softmax) \
-    X(SpaceToBatchNd) \
-    X(SpaceToDepth) \
-    X(Splitter) \
-    X(Stack) \
-    X(StandIn) \
-    X(StridedSlice) \
-    X(Subtraction) \
-    X(Switch) \
-    X(Transpose) \
-    X(TransposeConvolution2d) \
-    X(Unmap)
-
-/// When adding a new layer, adapt also the LastLayer enum value in the
-/// enum class LayerType below
 namespace armnn
 {
 
-enum class LayerType
-{
-#define X(name) name,
-  LIST_OF_LAYER_TYPE
-#undef X
-  FirstLayer = Activation,
-  LastLayer = Unmap
-};
-
-const char* GetLayerTypeAsCString(LayerType type);
-
 using Coordinates = std::array<unsigned int, MaxNumOfTensorDimensions>;
 using Dimensions  = std::array<unsigned int, MaxNumOfTensorDimensions>;