IVGCVSW-2914 Add Switch Layer and no-op factory method

Change-Id: I6a6ece708a49e8a97c83a3e7fec11c88af1e1cfa
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>

7 files changed, 175 insertions, 105 deletions

diff --git a/src/backends/backendsCommon/LayerSupportBase.cpp b/src/backends/backendsCommon/LayerSupportBase.cpp
index fc2d502fbd..6cad7b93ab 100644
--- a/src/backends/backendsCommon/LayerSupportBase.cpp
+++ b/src/backends/backendsCommon/LayerSupportBase.cpp
@@ -397,4 +397,13 @@ bool LayerSupportBase::IsSubtractionSupported(const TensorInfo& input0,
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
+bool LayerSupportBase::IsSwitchSupported(const TensorInfo& input0,
+                                         const TensorInfo& input1,
+                                         const TensorInfo& output0,
+                                         const TensorInfo& output1,
+                                         Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
 } // namespace armnn
diff --git a/src/backends/backendsCommon/LayerSupportBase.hpp b/src/backends/backendsCommon/LayerSupportBase.hpp
index 7c38b67379..3c39f8919d 100644
--- a/src/backends/backendsCommon/LayerSupportBase.hpp
+++ b/src/backends/backendsCommon/LayerSupportBase.hpp
@@ -246,6 +246,12 @@ public:
                                 const TensorInfo& input1,
                                 const TensorInfo& output,
                                 Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+    bool IsSwitchSupported(const TensorInfo& input0,
+                           const TensorInfo& input1,
+                           const TensorInfo& output0,
+                           const TensorInfo& output1,
+                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 };
 
 } // namespace armnn
diff --git a/src/backends/backendsCommon/WorkloadData.cpp b/src/backends/backendsCommon/WorkloadData.cpp
index 348c864863..b850a65acf 100644
--- a/src/backends/backendsCommon/WorkloadData.cpp
+++ b/src/backends/backendsCommon/WorkloadData.cpp
@@ -75,45 +75,23 @@ void ValidateTensorShapesMatch(const TensorInfo& first,
 }
 
 //---------------------------------------------------------------
-void ValidateNoInputs(const WorkloadInfo& workloadInfo, std::string const& descName)
+void ValidateNumInputs(const WorkloadInfo& workloadInfo, std::string const& descName, const unsigned int expectedSize)
 {
-    if (workloadInfo.m_InputTensorInfos.size() != 0)
+    if (workloadInfo.m_InputTensorInfos.size() != expectedSize)
     {
         throw InvalidArgumentException(descName +
-            ": Requires no inputs. " +
-            to_string(workloadInfo.m_InputTensorInfos.size()) + " has been provided.");
-    }
-}
-
-//---------------------------------------------------------------
-void ValidateSingleInput(const WorkloadInfo& workloadInfo, std::string const& descName)
-{
-    if (workloadInfo.m_InputTensorInfos.size() != 1)
-    {
-        throw InvalidArgumentException(descName +
-                                       ": Requires exactly one input. " +
-                                       to_string(workloadInfo.m_InputTensorInfos.size()) + " has been provided." );
-    }
-}
-
-//---------------------------------------------------------------
-void ValidateTwoInputs(const WorkloadInfo& workloadInfo, std::string const& descName)
-{
-    if (workloadInfo.m_InputTensorInfos.size() != 2)
-    {
-        throw InvalidArgumentException(descName +
-                                       ": Requires exactly two workloadInfo.m_InputTensorInfos. " +
+                                       ": Requires exactly " + to_string(expectedSize) + "input(s). " +
                                        to_string(workloadInfo.m_InputTensorInfos.size()) + " have been provided.");
     }
 }
 
 //---------------------------------------------------------------
-void ValidateSingleOutput(const WorkloadInfo& workloadInfo, std::string const& descName)
+void ValidateNumOutputs(const WorkloadInfo& workloadInfo, std::string const& descName, const unsigned int expectedSize)
 {
-    if (workloadInfo.m_OutputTensorInfos.size() != 1)
+    if (workloadInfo.m_OutputTensorInfos.size() != expectedSize)
     {
         throw InvalidArgumentException(descName +
-                                       ": Requires exactly one output. " +
+                                       ": Requires exactly " + to_string(expectedSize) + " output(s). " +
                                        to_string(workloadInfo.m_OutputTensorInfos.size()) + " has been provided.");
     }
 }
@@ -242,6 +220,18 @@ void ValidateTensorQuantizationMultiplier(const TensorInfo& inputTensor1, const
     }
 }
 
+//---------------------------------------------------------------
+void ValidateDataTypes(const TensorInfo& info,
+                       const std::vector<armnn::DataType>& supportedTypes,
+                       std::string const& descName)
+{
+    auto iterator = std::find(supportedTypes.begin(), supportedTypes.end(), info.GetDataType());
+    if (iterator == supportedTypes.end())
+    {
+        throw InvalidArgumentException(descName  + ": " + " Tensor type is not supported.");
+    }
+}
+
 } //namespace
 
 void QueueDescriptor::ValidateInputsOutputs(const std::string& descName,
@@ -254,8 +244,8 @@ void QueueDescriptor::ValidateInputsOutputs(const std::string& descName,
 //---------------------------------------------------------------
 void MemCopyQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "MemCopyQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "MemCopyQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "MemCopyQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "MemCopyQueueDescriptor" , 1);
 
     if (workloadInfo.m_InputTensorInfos.size() != workloadInfo.m_OutputTensorInfos.size())
     {
@@ -299,8 +289,8 @@ void MemCopyQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 //---------------------------------------------------------------
 void ActivationQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "ActivationQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "ActivationQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "ActivationQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "ActivationQueueDescriptor", 1);
     ValidateTensorShapesMatch(workloadInfo.m_InputTensorInfos[0],
                               workloadInfo.m_OutputTensorInfos[0],
                               "ActivationQueueDescriptor",
@@ -311,8 +301,8 @@ void ActivationQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 //---------------------------------------------------------------
 void SoftmaxQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "SoftmaxQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "SoftmaxQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "SoftmaxQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "SoftmaxQueueDescriptor", 1);
 
     ValidateTensorShapesMatch(workloadInfo.m_InputTensorInfos[0],
                               workloadInfo.m_OutputTensorInfos[0],
@@ -324,7 +314,7 @@ void SoftmaxQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 //---------------------------------------------------------------
 void SplitterQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "SplitterQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "SplitterQueueDescriptor", 1);
 
     if (workloadInfo.m_OutputTensorInfos.size() <= 0)
     {
@@ -372,7 +362,7 @@ void SplitterQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 //---------------------------------------------------------------
 void MergerQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleOutput(workloadInfo, "MergerQueueDescriptor");
+    ValidateNumOutputs(workloadInfo, "MergerQueueDescriptor", 1);
 
     if (m_Inputs.size() <= 0)
     {
@@ -444,8 +434,8 @@ void MergerQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 //---------------------------------------------------------------
 void FullyConnectedQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "FullyConnectedQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "FullyConnectedQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "FullyConnectedQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "FullyConnectedQueueDescriptor", 1);
     ValidateTensorNumDimensions(workloadInfo.m_OutputTensorInfos[0], "FullyConnectedQueueDescriptor", 2, "output");
 
     if (!(workloadInfo.m_InputTensorInfos[0].GetNumDimensions() == 2 ||
@@ -487,8 +477,8 @@ void FullyConnectedQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) c
 //---------------------------------------------------------------
 void NormalizationQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "NormalizationQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "NormalizationQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "NormalizationQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "NormalizationQueueDescriptor", 1);
     ValidateTensorShapesMatch(workloadInfo.m_InputTensorInfos[0],
                               workloadInfo.m_OutputTensorInfos[0],
                               "NormalizationQueueDescriptor",
@@ -498,8 +488,8 @@ void NormalizationQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) co
 
 void AdditionQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateTwoInputs(workloadInfo, "AdditionQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "AdditionQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "AdditionQueueDescriptor", 2);
+    ValidateNumOutputs(workloadInfo, "AdditionQueueDescriptor", 1);
 
     ValidateBroadcastTensorShapesMatch(workloadInfo.m_InputTensorInfos[0],
                                        workloadInfo.m_InputTensorInfos[1],
@@ -513,8 +503,8 @@ void AdditionQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 //---------------------------------------------------------------
 void MultiplicationQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateTwoInputs(workloadInfo, "MultiplicationQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "MultiplicationQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "MultiplicationQueueDescriptor", 2);
+    ValidateNumOutputs(workloadInfo, "MultiplicationQueueDescriptor", 1);
 
     ValidateBroadcastTensorShapesMatch(workloadInfo.m_InputTensorInfos[0],
                                        workloadInfo.m_InputTensorInfos[1],
@@ -526,8 +516,8 @@ void MultiplicationQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) c
 
 void BatchNormalizationQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "BatchNormalizationQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "BatchNormalizationQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "BatchNormalizationQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "BatchNormalizationQueueDescriptor", 1);
     ValidateTensorShapesMatch(workloadInfo.m_InputTensorInfos[0],
                               workloadInfo.m_OutputTensorInfos[0],
                               "BatchNormalizationQueueDescriptor",
@@ -554,8 +544,8 @@ void BatchNormalizationQueueDescriptor::Validate(const WorkloadInfo& workloadInf
 
 void Convolution2dQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "Convolution2dQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "Convolution2dQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "Convolution2dQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "Convolution2dQueueDescriptor", 1);
 
     ValidateTensorNumDimensions(workloadInfo.m_InputTensorInfos[0], "Convolution2dQueueDescriptor", 4, "input");
     ValidateTensorNumDimensions(workloadInfo.m_OutputTensorInfos[0], "Convolution2dQueueDescriptor", 4, "output");
@@ -580,8 +570,8 @@ void Convolution2dQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) co
 
 void DepthwiseConvolution2dQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "DepthwiseConvolution2dQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "DepthwiseConvolution2dQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "DepthwiseConvolution2dQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "DepthwiseConvolution2dQueueDescriptor", 1);
 
     ValidateTensorNumDimensions(
         workloadInfo.m_InputTensorInfos[0], "DepthwiseConvolution2dQueueDescriptor", 4, "input");
@@ -625,8 +615,8 @@ void DepthwiseConvolution2dQueueDescriptor::Validate(const WorkloadInfo& workloa
 
 void PermuteQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "PermuteQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "PermuteQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "PermuteQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "PermuteQueueDescriptor", 1);
 
     const PermutationVector& mapping = m_Parameters.m_DimMappings;
 
@@ -650,8 +640,8 @@ void PermuteQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 
 void Pooling2dQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "Pooling2dQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "Pooling2dQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "Pooling2dQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "Pooling2dQueueDescriptor", 1);
 
     ValidateTensorNumDimensions(workloadInfo.m_InputTensorInfos[0], "Pooling2dQueueDescriptor", 4, "input");
     ValidateTensorNumDimensions(workloadInfo.m_OutputTensorInfos[0], "Pooling2dQueueDescriptor", 4, "output");
@@ -659,8 +649,8 @@ void Pooling2dQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 
 void ResizeBilinearQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "ResizeBilinearQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "ResizeBilinearQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "ResizeBilinearQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "ResizeBilinearQueueDescriptor", 1);
 
     ValidateTensorNumDimensions(workloadInfo.m_InputTensorInfos[0], "ResizeBilinearQueueDescriptor", 4, "input");
     ValidateTensorNumDimensions(workloadInfo.m_OutputTensorInfos[0], "ResizeBilinearQueueDescriptor", 4, "output");
@@ -694,8 +684,8 @@ void ResizeBilinearQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) c
 
 void FakeQuantizationQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "FakeQuantizationQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "FakeQuantizationQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "FakeQuantizationQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "FakeQuantizationQueueDescriptor", 1);
 
     ValidateTensorNumDimensions(workloadInfo.m_InputTensorInfos[0], "FakeQuantizationQueueDescriptor", 2, "input");
     ValidateTensorNumDimensions(workloadInfo.m_OutputTensorInfos[0], "FakeQuantizationQueueDescriptor", 2, "output");
@@ -713,8 +703,8 @@ void FakeQuantizationQueueDescriptor::Validate(const WorkloadInfo& workloadInfo)
 
 void L2NormalizationQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "L2NormalizationQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "L2NormalizationQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "L2NormalizationQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "L2NormalizationQueueDescriptor", 1);
 
     ValidateTensorNumDimensions(workloadInfo.m_InputTensorInfos[0], "L2NormalizationQueueDescriptor", 4, "input");
     ValidateTensorNumDimensions(workloadInfo.m_OutputTensorInfos[0], "L2NormalizationQueueDescriptor", 4, "output");
@@ -727,8 +717,8 @@ void L2NormalizationQueueDescriptor::Validate(const WorkloadInfo& workloadInfo)
 
 void ConstantQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateNoInputs(workloadInfo, "ConstantQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "ConstantQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "ConstantQueueDescriptor", 0);
+    ValidateNumOutputs(workloadInfo, "ConstantQueueDescriptor", 1);
 
     if (!m_LayerOutput)
     {
@@ -744,8 +734,8 @@ void ConstantQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 
 void ReshapeQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "ReshapeQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "ReshapeQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "ReshapeQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "ReshapeQueueDescriptor", 1);
 
     if (workloadInfo.m_InputTensorInfos[0].GetNumElements() != workloadInfo.m_OutputTensorInfos[0].GetNumElements())
     {
@@ -757,8 +747,8 @@ void ReshapeQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 
 void SpaceToBatchNdQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "SpaceToBatchNdQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "SpaceToBatchNdQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "SpaceToBatchNdQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "SpaceToBatchNdQueueDescriptor", 1);
 
     ValidateTensorNumDimensions(workloadInfo.m_InputTensorInfos[0], "SpaceToBatchNdQueueDescriptor", 4, "input");
     ValidateTensorNumDimensions(workloadInfo.m_OutputTensorInfos[0], "SpaceToBatchNdQueueDescriptor", 4, "output");
@@ -804,8 +794,8 @@ void SpaceToBatchNdQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) c
 
 void FloorQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "FloorQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "FlootQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "FloorQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "FlootQueueDescriptor", 1);
 
     if (workloadInfo.m_InputTensorInfos[0] != workloadInfo.m_OutputTensorInfos[0])
     {
@@ -821,8 +811,8 @@ void LstmQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 
 void ConvertFp32ToFp16QueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "ConvertFp32ToFp16QueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "ConvertFp32ToFp16QueueDescriptor");
+    ValidateNumInputs(workloadInfo, "ConvertFp32ToFp16QueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "ConvertFp32ToFp16QueueDescriptor", 1);
 
     if (workloadInfo.m_InputTensorInfos[0].GetDataType() != DataType::Float32)
     {
@@ -843,8 +833,8 @@ void ConvertFp32ToFp16QueueDescriptor::Validate(const WorkloadInfo& workloadInfo
 
 void ConvertFp16ToFp32QueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "ConvertFp16ToFp32QueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "ConvertFp16ToFp32QueueDescriptor");
+    ValidateNumInputs(workloadInfo, "ConvertFp16ToFp32QueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "ConvertFp16ToFp32QueueDescriptor", 1);
 
     if (workloadInfo.m_InputTensorInfos[0].GetDataType() != DataType::Float16)
     {
@@ -864,8 +854,8 @@ void ConvertFp16ToFp32QueueDescriptor::Validate(const WorkloadInfo& workloadInfo
 
 void DivisionQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateTwoInputs(workloadInfo, "DivisionQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "DivisionQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "DivisionQueueDescriptor", 2);
+    ValidateNumOutputs(workloadInfo, "DivisionQueueDescriptor", 1);
 
     ValidateBroadcastTensorShapesMatch(workloadInfo.m_InputTensorInfos[0],
                                        workloadInfo.m_InputTensorInfos[1],
@@ -877,8 +867,8 @@ void DivisionQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 
 void SubtractionQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateTwoInputs(workloadInfo, "SubtractionQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "SubtractionQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "SubtractionQueueDescriptor", 2);
+    ValidateNumOutputs(workloadInfo, "SubtractionQueueDescriptor", 1);
 
     ValidateBroadcastTensorShapesMatch(workloadInfo.m_InputTensorInfos[0],
                                        workloadInfo.m_InputTensorInfos[1],
@@ -890,8 +880,8 @@ void SubtractionQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) cons
 
 void MaximumQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateTwoInputs(workloadInfo, "MaximumQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "MaximumQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "MaximumQueueDescriptor", 2);
+    ValidateNumOutputs(workloadInfo, "MaximumQueueDescriptor", 1);
 
     ValidateBroadcastTensorShapesMatch(workloadInfo.m_InputTensorInfos[0],
                                        workloadInfo.m_InputTensorInfos[1],
@@ -903,8 +893,8 @@ void MaximumQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 
 void MeanQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "MeanQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "MeanQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "MeanQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "MeanQueueDescriptor", 1);
 
     const TensorInfo& input  = workloadInfo.m_InputTensorInfos[0];
     const TensorInfo& output = workloadInfo.m_OutputTensorInfos[0];
@@ -929,8 +919,8 @@ void MeanQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 
 void PadQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "PadQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "PadQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "PadQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "PadQueueDescriptor", 1);
 
     const TensorInfo& input = workloadInfo.m_InputTensorInfos[0];
     const TensorInfo& output = workloadInfo.m_OutputTensorInfos[0];
@@ -948,8 +938,8 @@ void PadQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 
 void QuantizeQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "QuantizeQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "QuantizeQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "QuantizeQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "QuantizeQueueDescriptor", 1);
 
 
     if (workloadInfo.m_InputTensorInfos[0].GetDataType() != DataType::Float32)
@@ -966,14 +956,14 @@ void QuantizeQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 
 void BatchToSpaceNdQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "BatchToSpaceNdQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "BatchToSpaceNdQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "BatchToSpaceNdQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "BatchToSpaceNdQueueDescriptor", 1);
 }
 
 void StridedSliceQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "StridedSliceQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "StridedSliceQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "StridedSliceQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "StridedSliceQueueDescriptor", 1);
 
     const TensorInfo& input = workloadInfo.m_InputTensorInfos[0];
     const uint32_t rank = input.GetNumDimensions();
@@ -1015,8 +1005,8 @@ void StridedSliceQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) con
 
 void MinimumQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateTwoInputs(workloadInfo, "MinimumQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "MinimumQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "MinimumQueueDescriptor", 2);
+    ValidateNumOutputs(workloadInfo, "MinimumQueueDescriptor", 1);
 
     ValidateBroadcastTensorShapesMatch(workloadInfo.m_InputTensorInfos[0],
                                        workloadInfo.m_InputTensorInfos[1],
@@ -1028,14 +1018,14 @@ void MinimumQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 
 void DebugQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "DebugQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "DebugQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "DebugQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "DebugQueueDescriptor", 1);
 }
 
 void EqualQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateTwoInputs(workloadInfo, "EqualQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "EqualQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "EqualQueueDescriptor", 2);
+    ValidateNumOutputs(workloadInfo, "EqualQueueDescriptor", 1);
 
     ValidateBroadcastTensorShapesMatch(workloadInfo.m_InputTensorInfos[0],
                                        workloadInfo.m_InputTensorInfos[1],
@@ -1052,8 +1042,8 @@ void EqualQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 
 void GreaterQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateTwoInputs(workloadInfo, "GreaterQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "GreaterQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "GreaterQueueDescriptor", 2);
+    ValidateNumOutputs(workloadInfo, "GreaterQueueDescriptor", 1);
 
     ValidateBroadcastTensorShapesMatch(workloadInfo.m_InputTensorInfos[0],
                                        workloadInfo.m_InputTensorInfos[1],
@@ -1070,8 +1060,8 @@ void GreaterQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 
 void RsqrtQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "RsqrtQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "RsqrtQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "RsqrtQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "RsqrtQueueDescriptor", 1);
     ValidateTensorShapesMatch(workloadInfo.m_InputTensorInfos[0],
                               workloadInfo.m_OutputTensorInfos[0],
                               "RsqrtQueueDescriptor",
@@ -1081,8 +1071,8 @@ void RsqrtQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 
 void GatherQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateTwoInputs(workloadInfo, "GatherQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "GatherQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "GatherQueueDescriptor", 2);
+    ValidateNumOutputs(workloadInfo, "GatherQueueDescriptor", 1);
 
     const TensorInfo& indices = workloadInfo.m_InputTensorInfos[1];
 
@@ -1102,7 +1092,7 @@ void GatherQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 
 void DetectionPostProcessQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateTwoInputs(workloadInfo, "DetectionPostProcessQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "DetectionPostProcessQueueDescriptor", 2);
 
     if (workloadInfo.m_OutputTensorInfos.size() != 4)
     {
@@ -1155,8 +1145,8 @@ void DetectionPostProcessQueueDescriptor::Validate(const WorkloadInfo& workloadI
 
 void DequantizeQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateSingleInput(workloadInfo, "DequantizeQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "DequantizeQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "DequantizeQueueDescriptor", 1);
+    ValidateNumOutputs(workloadInfo, "DequantizeQueueDescriptor", 1);
 
     if (workloadInfo.m_InputTensorInfos[0].GetDataType() != DataType::QuantisedAsymm8 &&
         workloadInfo.m_InputTensorInfos[0].GetDataType() != DataType::QuantisedSymm16)
@@ -1172,8 +1162,8 @@ void DequantizeQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 
 void MergeQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
-    ValidateTwoInputs(workloadInfo, "MergeQueueDescriptor");
-    ValidateSingleOutput(workloadInfo, "MergeQueueDescriptor");
+    ValidateNumInputs(workloadInfo, "MergeQueueDescriptor", 2);
+    ValidateNumOutputs(workloadInfo, "MergeQueueDescriptor", 1);
 
     ValidateTensorShapesMatch(workloadInfo.m_InputTensorInfos[0],
                               workloadInfo.m_InputTensorInfos[1],
@@ -1192,6 +1182,42 @@ void MergeQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
     ValidateTensorDataType(workloadInfo.m_OutputTensorInfos[0], dataType, "MergeQueueDescriptor", "output");
 }
 
+void SwitchQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
+{
+    ValidateNumInputs(workloadInfo, "SwitchQueueDescriptor", 2);
+    ValidateNumOutputs(workloadInfo, "SwitchQueueDescriptor", 2);
+
+    std::vector<DataType> supportedTypes = {
+        DataType::Float32,
+        DataType::QuantisedAsymm8,
+        DataType::QuantisedSymm16
+    };
+
+    ValidateDataTypes(workloadInfo.m_InputTensorInfos[0],
+                      supportedTypes,
+                      "SwitchQueueDescriptor");
+
+    ValidateDataTypes(workloadInfo.m_InputTensorInfos[1],
+                      supportedTypes,
+                      "SwitchQueueDescriptor");
+
+    ValidateDataTypes(workloadInfo.m_OutputTensorInfos[0],
+                      supportedTypes,
+                      "SwitchQueueDescriptor");
+
+    ValidateTensorShapesMatch(workloadInfo.m_InputTensorInfos[0],
+                              workloadInfo.m_OutputTensorInfos[0],
+                              "SwitchQueueDescriptor",
+                              "input0",
+                              "output0");
+
+    ValidateTensorShapesMatch(workloadInfo.m_InputTensorInfos[0],
+                              workloadInfo.m_OutputTensorInfos[1],
+                              "SwitchQueueDescriptor",
+                              "input0",
+                              "output1");
+}
+
 void PreCompiledQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
     // This is internally generated so it should not need validation.
diff --git a/src/backends/backendsCommon/WorkloadData.hpp b/src/backends/backendsCommon/WorkloadData.hpp
index 1bf735288d..1b5f86dde7 100644
--- a/src/backends/backendsCommon/WorkloadData.hpp
+++ b/src/backends/backendsCommon/WorkloadData.hpp
@@ -426,4 +426,9 @@ struct MergeQueueDescriptor : QueueDescriptor
     void Validate(const WorkloadInfo& workloadInfo) const;
 };
 
+struct SwitchQueueDescriptor : QueueDescriptor
+{
+    void Validate(const WorkloadInfo& workloadInfo) const;
+};
+
 } //namespace armnn
diff --git a/src/backends/backendsCommon/WorkloadFactory.cpp b/src/backends/backendsCommon/WorkloadFactory.cpp
index 4ea3ea9f9b..d9774b063d 100644
--- a/src/backends/backendsCommon/WorkloadFactory.cpp
+++ b/src/backends/backendsCommon/WorkloadFactory.cpp
@@ -729,6 +729,19 @@ bool IWorkloadFactory::IsLayerSupported(const BackendId& backendId,
                                             reason);
             break;
         }
+        case LayerType::Switch:
+        {
+            const TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();
+            const TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();
+            const TensorInfo& output0 = layer.GetOutputSlot(0).GetTensorInfo();
+            const TensorInfo& output1 = layer.GetOutputSlot(1).GetTensorInfo();
+            result = layerSupportObject->IsSwitchSupported(OverrideDataType(input0, dataType),
+                                                           OverrideDataType(input1, dataType),
+                                                           OverrideDataType(output0, dataType),
+                                                           OverrideDataType(output1, dataType),
+                                                           reason);
+            break;
+        }
         case LayerType::Mean:
         {
             auto cLayer = boost::polymorphic_downcast<const MeanLayer*>(&layer);
@@ -1041,4 +1054,10 @@ std::unique_ptr<IWorkload> IWorkloadFactory::CreateSubtraction(const Subtraction
     return std::unique_ptr<IWorkload>();
 }
 
+std::unique_ptr<IWorkload> IWorkloadFactory::CreateSwitch(const SwitchQueueDescriptor& descriptor,
+                                                          const WorkloadInfo& info) const
+{
+    return std::unique_ptr<IWorkload>();
+}
+
 }
diff --git a/src/backends/backendsCommon/WorkloadFactory.hpp b/src/backends/backendsCommon/WorkloadFactory.hpp
index 889bc9d595..5c07b3af6f 100644
--- a/src/backends/backendsCommon/WorkloadFactory.hpp
+++ b/src/backends/backendsCommon/WorkloadFactory.hpp
@@ -177,6 +177,9 @@ public:
 
     virtual std::unique_ptr<IWorkload> CreateStridedSlice(const StridedSliceQueueDescriptor& descriptor,
                                                           const WorkloadInfo& Info) const;
+
+    virtual std::unique_ptr<IWorkload> CreateSwitch(const SwitchQueueDescriptor& descriptor,
+                                                    const WorkloadInfo& Info) const;
 };
 
 } //namespace armnn
diff --git a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp
index 0588607a82..a7d7b094cf 100644
--- a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp
+++ b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp
@@ -402,6 +402,8 @@ DECLARE_LAYER_POLICY_2_PARAM(StridedSlice)
 
 DECLARE_LAYER_POLICY_1_PARAM(Subtraction)
 
+DECLARE_LAYER_POLICY_1_PARAM(Switch)
+
 
 // Generic implementation to get the number of input slots for a given layer type;
 template<armnn::LayerType Type>