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Diffstat (limited to 'src/armnn/InternalTypes.hpp')
-rw-r--r-- | src/armnn/InternalTypes.hpp | 84 |
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>; |