IVGCVSW-1946: Remove armnn/src from the include paths
Change-Id: I663a0a0fccb43ee960ec070121a59df9db0bb04e
diff --git a/src/backends/backendsCommon/test/LayerTests.hpp b/src/backends/backendsCommon/test/LayerTests.hpp
new file mode 100644
index 0000000..57383d3
--- /dev/null
+++ b/src/backends/backendsCommon/test/LayerTests.hpp
@@ -0,0 +1,416 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+
+#include <armnn/ArmNN.hpp>
+#include <armnn/Tensor.hpp>
+
+#include <Half.hpp>
+
+#include <boost/multi_array.hpp>
+#include <boost/assert.hpp>
+
+#include <array>
+
+// Layer callables.
+
+namespace armnn
+{
+class IWorkloadFactory;
+}
+
+template <std::size_t n>
+boost::array<unsigned int, n> GetTensorShapeAsArray(const armnn::TensorInfo& tensorInfo)
+{
+ BOOST_ASSERT_MSG(n == tensorInfo.GetNumDimensions(),
+ "Attempting to construct a shape array of mismatching size");
+
+ boost::array<unsigned int, n> shape;
+ for (unsigned int i = 0; i < n; i++)
+ {
+ shape[i] = tensorInfo.GetShape()[i];
+ }
+ return shape;
+}
+
+template <typename T, std::size_t n>
+struct LayerTestResult
+{
+ LayerTestResult(const armnn::TensorInfo& outputInfo)
+ {
+ auto shape( GetTensorShapeAsArray<n>(outputInfo) );
+ output.resize(shape);
+ outputExpected.resize(shape);
+ supported = true;
+ }
+
+ boost::multi_array<T, n> output;
+ boost::multi_array<T, n> outputExpected;
+ bool supported;
+};
+
+LayerTestResult<float, 4> SimpleConvolution2d3x5Test(armnn::IWorkloadFactory& workloadFactory,
+ bool biasEnabled,
+ const armnn::DataLayoutIndexed& layout);
+
+LayerTestResult<float, 4> SimpleConvolution2d3x3Test(armnn::IWorkloadFactory& workloadFactory,
+ bool biasEnabled,
+ const armnn::DataLayoutIndexed& layout);
+
+LayerTestResult<float, 4> SimpleConvolution2d3x3NhwcTest(armnn::IWorkloadFactory& workloadFactory,
+ bool biasEnabled);
+
+LayerTestResult<float, 4>
+Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTest(armnn::IWorkloadFactory& workloadFactory,
+ const armnn::DataLayoutIndexed& layout);
+LayerTestResult<float, 4> Convolution2dAsymmetricPaddingTest(armnn::IWorkloadFactory& workloadFactory,
+ const armnn::DataLayoutIndexed& layout);
+
+
+LayerTestResult<float, 4> Convolution1dTest(armnn::IWorkloadFactory& workloadFactory,
+ bool biasEnabled);
+LayerTestResult<uint8_t, 4> Convolution1dUint8Test(armnn::IWorkloadFactory& workloadFactory,
+ bool biasEnabled);
+
+LayerTestResult<float, 4> DepthwiseConvolution2dTest(armnn::IWorkloadFactory& workloadFactory,
+ bool biasEnabled,
+ const armnn::DataLayoutIndexed& layout);
+
+LayerTestResult<float, 4> DepthwiseConvolution2dDepthNhwcTest(armnn::IWorkloadFactory& workloadFactory,
+ bool biasEnabled);
+
+LayerTestResult<float, 4> DepthwiseConvolution2dDepthMul1Test(armnn::IWorkloadFactory& workloadFactory,
+ bool biasEnabled,
+ const armnn::DataLayoutIndexed& layout);
+
+LayerTestResult<float, 4> DepthwiseConvolution2dAsymmetricTest(armnn::IWorkloadFactory& workloadFactory,
+ bool biasEnabled,
+ const armnn::DataLayoutIndexed& layout);
+
+LayerTestResult<float, 4> SimpleMaxPooling2dSize2x2Stride2x2Test(armnn::IWorkloadFactory& workloadFactory,
+ bool forceNoPadding);
+LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Uint8Test(armnn::IWorkloadFactory& workloadFactory,
+ bool forceNoPadding);
+LayerTestResult<float, 4> SimpleMaxPooling2dSize3x3Stride2x4Test(armnn::IWorkloadFactory& workloadFactory,
+ bool forceNoPadding);
+LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Uint8Test(armnn::IWorkloadFactory& workloadFactory,
+ bool forceNoPadding );
+LayerTestResult<float, 4> IgnorePaddingSimpleMaxPooling2dTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> IgnorePaddingSimpleMaxPooling2dUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> IgnorePaddingMaxPooling2dSize3Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> IgnorePaddingMaxPooling2dSize3Uint8Test(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> SimpleMaxPooling2dTest(armnn::IWorkloadFactory& workloadFactory,
+ const armnn::DataLayoutIndexed& dataLayout);
+LayerTestResult<uint8_t, 4> SimpleMaxPooling2dUint8Test(armnn::IWorkloadFactory& workloadFactory,
+ const armnn::DataLayoutIndexed& dataLayout);
+
+LayerTestResult<float, 4> SimpleAveragePooling2dTest(armnn::IWorkloadFactory& workloadFactory,
+ const armnn::DataLayoutIndexed& dataLayout);
+LayerTestResult<uint8_t, 4> SimpleAveragePooling2dUint8Test(armnn::IWorkloadFactory& workloadFactory,
+ const armnn::DataLayoutIndexed& dataLayout);
+
+LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3x2Stride2x2Test(armnn::IWorkloadFactory& workloadFactory,
+ bool forceNoPadding);
+LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingUint8Test(
+ armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> IgnorePaddingAveragePooling2dSize3Uint8Test(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> SimpleL2Pooling2dTest(armnn::IWorkloadFactory& workloadFactory,
+ const armnn::DataLayoutIndexed& dataLayout);
+LayerTestResult<uint8_t, 4> SimpleL2Pooling2dUint8Test(armnn::IWorkloadFactory& workloadFactory,
+ const armnn::DataLayoutIndexed& dataLayout);
+
+LayerTestResult<float, 4> L2Pooling2dSize3Stride1Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride1Uint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> L2Pooling2dSize3Stride3Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride3Uint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> L2Pooling2dSize3Stride4Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride4Uint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> L2Pooling2dSize7Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> L2Pooling2dSize7Uint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> L2Pooling2dSize9Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> L2Pooling2dSize9Uint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> LargeTensorsAveragePooling2dTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> LargeTensorsAveragePooling2dUint8Test(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> IgnorePaddingSimpleL2Pooling2dTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> IgnorePaddingSimpleL2Pooling2dUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> IgnorePaddingL2Pooling2dSize3Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> IgnorePaddingL2Pooling2dSize3Uint8Test(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> AsymmetricNonSquarePooling2dTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> AsymmetricNonSquarePooling2dUint8Test(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> ComparePooling2dTest(armnn::IWorkloadFactory& workloadFactory,
+ armnn::IWorkloadFactory& refWorkloadFactory,
+ armnn::PoolingAlgorithm poolingType);
+LayerTestResult<uint8_t, 4> ComparePooling2dUint8Test(armnn::IWorkloadFactory& workloadFactory,
+ armnn::IWorkloadFactory& refWorkloadFactory,
+ armnn::PoolingAlgorithm poolingType);
+
+LayerTestResult<float, 4> ConstantLinearActivationTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> SimpleNormalizationAcrossTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> SimpleNormalizationWithinTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float,4> SimpleNormalizationAcrossNhwcTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 2> SimpleSoftmaxTest(armnn::IWorkloadFactory& workloadFactory, float beta);
+LayerTestResult<uint8_t, 2> SimpleSoftmaxUint8Test(armnn::IWorkloadFactory& workloadFactory, float beta);
+
+LayerTestResult<float, 4> SimpleSigmoidTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> SimpleReshapeFloat32Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> SimpleReshapeUint8Test(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> SimpleFloorTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 1> Concatenation1dTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 2> Concatenation2dDim0Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 2> Concatenation2dDim1Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 2> Concatenation2dDim0DiffInputDimsTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 2> Concatenation2dDim1DiffInputDimsTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 3> Concatenation3dDim0Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 3> Concatenation3dDim1Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 3> Concatenation3dDim2Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 3> Concatenation3dDim0DiffInputDimsTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 3> Concatenation3dDim1DiffInputDimsTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 3> Concatenation3dDim2DiffInputDimsTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<uint8_t, 4> SimpleSigmoidUint8Test(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> CompareConvolution2dTest(armnn::IWorkloadFactory& workloadFactory,
+ armnn::IWorkloadFactory& refWorkloadFactory);
+
+template<typename T>
+LayerTestResult<T, 4> CompareDepthwiseConvolution2dTest(armnn::IWorkloadFactory& workloadFactory,
+ armnn::IWorkloadFactory& refWorkloadFactory,
+ const armnn::DataLayoutIndexed& layout);
+
+LayerTestResult<float, 4> CompareNormalizationTest(armnn::IWorkloadFactory& workloadFactory,
+ armnn::IWorkloadFactory& refWorkloadFactory,
+ armnn::NormalizationAlgorithmChannel normChannel,
+ armnn::NormalizationAlgorithmMethod normMethod);
+
+LayerTestResult<float, 2> CompareSoftmaxTest(armnn::IWorkloadFactory& workloadFactory,
+ armnn::IWorkloadFactory& refWorkloadFactory, float beta);
+
+LayerTestResult<float, 2> FullyConnectedFloat32Test(armnn::IWorkloadFactory& workloadFactory,
+ bool biasEnabled,
+ bool transposeWeights);
+
+std::vector<LayerTestResult<float, 3>> SplitterTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 3> CopyViaSplitterTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 3> MergerTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> AdditionTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> AdditionBroadcast1ElementTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> AdditionBroadcastTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> CompareAdditionTest(armnn::IWorkloadFactory& workloadFactory,
+ armnn::IWorkloadFactory& refWorkloadFactory);
+
+LayerTestResult<float, 4> SubtractionTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> SubtractionBroadcast1ElementTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> SubtractionBroadcastTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> CompareActivationTest(armnn::IWorkloadFactory& workloadFactory,
+ armnn::IWorkloadFactory& refWorkloadFactory,
+ armnn::ActivationFunction f,
+ unsigned int batchSize);
+
+LayerTestResult<float, 4> DivisionTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> DivisionByZeroTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> DivisionBroadcast1ElementTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> DivisionBroadcast1DVectorTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> MultiplicationTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> MultiplicationBroadcast1ElementTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> MultiplicationBroadcast1DVectorTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> CompareMultiplicationTest(armnn::IWorkloadFactory& workloadFactory,
+ armnn::IWorkloadFactory& refWorkloadFactory);
+
+LayerTestResult<float, 4> BatchNormTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> BatchNormNhwcTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> CompareBatchNormTest(armnn::IWorkloadFactory& workloadFactory,
+ armnn::IWorkloadFactory& refWorkloadFactory);
+
+LayerTestResult<float, 4> BoundedReLuUpperAndLowerBoundTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> BoundedReLuUint8UpperAndLowerBoundTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> BoundedReLuUpperBoundOnlyTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> BoundedReLuUint8UpperBoundOnlyTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> CompareBoundedReLuTest(armnn::IWorkloadFactory& workloadFactory,
+ armnn::IWorkloadFactory& refWorkloadFactory,
+ float upperBound,
+ float lowerBound);
+
+// Tests that the output should be identical to the input when the output dimensions match the input ones.
+LayerTestResult<float, 4> ResizeBilinearNopTest(armnn::IWorkloadFactory& workloadFactory,
+ const armnn::DataLayoutIndexed& dataLayout);
+
+// Tests the behaviour of the resize bilinear operation when rescaling a 2x2 image into a 1x1 image.
+LayerTestResult<float, 4> SimpleResizeBilinearTest(armnn::IWorkloadFactory& workloadFactory,
+ const armnn::DataLayoutIndexed& dataLayout);
+
+// Tests the resize bilinear for minification of a square input matrix (also: input dimensions are a
+// multiple of output dimensions).
+LayerTestResult<float, 4> ResizeBilinearSqMinTest(armnn::IWorkloadFactory& workloadFactory,
+ const armnn::DataLayoutIndexed& dataLayout);
+
+// Tests the resize bilinear for minification (output dimensions smaller than input dimensions).
+LayerTestResult<float, 4> ResizeBilinearMinTest(armnn::IWorkloadFactory& workloadFactory,
+ const armnn::DataLayoutIndexed& dataLayout);
+
+// Tests the resize bilinear for magnification (output dimensions bigger than input dimensions).
+LayerTestResult<float, 4> ResizeBilinearMagTest(armnn::IWorkloadFactory& workloadFactory,
+ const armnn::DataLayoutIndexed& dataLayout);
+
+LayerTestResult<float, 4> BatchNormTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> BatchNormNhwcTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 2> FakeQuantizationTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> L2Normalization1dTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> L2Normalization2dTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> L2Normalization3dTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> L2Normalization4dTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> L2Normalization1dNhwcTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> L2Normalization2dNhwcTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> L2Normalization3dNhwcTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> L2Normalization4dNhwcTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> ConstantTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<uint8_t, 4> ConstantTestUint8(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<uint8_t, 4> BoundedReLuUint8Test(armnn::IWorkloadFactory& workloadFactory, float upperBound);
+LayerTestResult<uint8_t, 4> BoundedReLuUint8Test(armnn::IWorkloadFactory& workloadFactory,
+ float upperBound,
+ float lowerBound);
+
+LayerTestResult<uint8_t, 2> FullyConnectedUint8Test(armnn::IWorkloadFactory& workloadFactory, bool biasEnabled);
+
+std::vector<LayerTestResult<uint8_t, 3>> SplitterUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 3> CopyViaSplitterUint8Test(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<uint8_t, 3> MergerUint8Test(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<uint8_t, 4> AdditionUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> AdditionBroadcast1ElementUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> AdditionBroadcastUint8Test(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<uint8_t, 4> SubtractionUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> SubtractionBroadcast1ElementUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> SubtractionBroadcastUint8Test(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<uint8_t, 4> CompareActivationUint8Test(armnn::IWorkloadFactory& workloadFactory,
+ armnn::IWorkloadFactory& refWorkloadFactory,
+ armnn::ActivationFunction f);
+
+LayerTestResult<uint8_t, 2> CompareSoftmaxUint8Test(armnn::IWorkloadFactory& workloadFactory,
+ armnn::IWorkloadFactory& refWorkloadFactory,
+ float beta);
+
+LayerTestResult<uint8_t, 4> MultiplicationUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> MultiplicationBroadcast1ElementUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> MultiplicationBroadcast1DVectorUint8Test(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<uint8_t, 4> DivisionUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> DivisionBroadcast1ElementUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> DivisionBroadcast1DVectorUint8Test(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<uint8_t, 4> SimpleConvolution2d3x5Uint8Test(armnn::IWorkloadFactory& workloadFactory,
+ bool biasEnabled,
+ const armnn::DataLayoutIndexed& layout);
+
+LayerTestResult<uint8_t, 4> SimpleConvolution2d3x3Uint8Test(armnn::IWorkloadFactory& workloadFactory,
+ bool biasEnabled,
+ const armnn::DataLayoutIndexed& layout);
+
+LayerTestResult<uint8_t, 4> DepthwiseConvolution2dUint8Test(armnn::IWorkloadFactory& workloadFactory,
+ bool biasEnabled,
+ const armnn::DataLayoutIndexed& layout);
+
+LayerTestResult<uint8_t, 4> DepthwiseConvolution2dDepthMul1Uint8Test(armnn::IWorkloadFactory& workloadFactory,
+ bool biasEnabled,
+ const armnn::DataLayoutIndexed& layout);
+
+LayerTestResult<uint8_t, 4> ConstantLinearActivationUint8Test(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<uint8_t, 4> ResizeBilinearNopUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> SimpleResizeBilinearUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> ResizeBilinearSqMinUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> ResizeBilinearMinUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> ResizeBilinearMagUint8Test(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<uint8_t, 4> BatchNormUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> BatchNormUint8NhwcTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<uint8_t, 4> ConstantUint8Test(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<uint8_t, 1> Concatenation1dUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 2> Concatenation2dDim0Uint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 2> Concatenation2dDim1Uint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 2> Concatenation2dDim0DiffInputDimsUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 2> Concatenation2dDim1DiffInputDimsUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 3> Concatenation3dDim0Uint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 3> Concatenation3dDim1Uint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 3> Concatenation3dDim2Uint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 3> Concatenation3dDim0DiffInputDimsUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 3> Concatenation3dDim1DiffInputDimsUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 3> Concatenation3dDim2DiffInputDimsUint8Test(armnn::IWorkloadFactory& workloadFactory);
+
+
+LayerTestResult<float, 2> FullyConnectedLargeTest(armnn::IWorkloadFactory& workloadFactory,
+ bool transposeWeights);
+LayerTestResult<float, 4> SimplePermuteFloat32Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> SimplePermuteUint8Test(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<uint8_t, 2> PadUint82dTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 3> PadUint83dTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> PadUint84dTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 2> PadFloat322dTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 3> PadFloat323dTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> PadFloat324dTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> PermuteFloat32ValueSet1Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> PermuteFloat32ValueSet2Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> PermuteFloat32ValueSet3Test(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 2> LstmLayerFloat32WithCifgWithPeepholeNoProjectionTest
+ (armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 2>
+ LstmLayerFloat32NoCifgNoPeepholeNoProjectionTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 2>
+LstmLayerFloat32NoCifgWithPeepholeWithProjectionTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> SimpleConvertFp16ToFp32Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<armnn::Half, 4> SimpleConvertFp32ToFp16Test(armnn::IWorkloadFactory& workloadFactory);
+
+
+LayerTestResult<uint8_t, 1> MeanUint8SimpleTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 3> MeanUint8SimpleAxisTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> MeanUint8KeepDimsTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> MeanUint8MultipleDimsTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 1> MeanVtsUint8Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 1> MeanFloatSimpleTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 3> MeanFloatSimpleAxisTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> MeanFloatKeepDimsTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> MeanFloatMultipleDimsTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 1> MeanVtsFloat1Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 3> MeanVtsFloat2Test(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 3> MeanVtsFloat3Test(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> AdditionAfterMaxPoolTest(armnn::IWorkloadFactory& workloadFactory);