From 4fcda0101ec3d110c1d6d7bee5c83416b645528a Mon Sep 17 00:00:00 2001
From: telsoa01 <telmo.soares@arm.com>
Date: Fri, 9 Mar 2018 14:13:49 +0000
Subject: Release 18.02

Change-Id: Id3c11dc5ee94ef664374a988fcc6901e9a232fa6
---
 src/armnn/backends/test/LayerTests.hpp | 305 +++++++++++++++++++++++++++++++++
 1 file changed, 305 insertions(+)
 create mode 100644 src/armnn/backends/test/LayerTests.hpp

(limited to 'src/armnn/backends/test/LayerTests.hpp')

diff --git a/src/armnn/backends/test/LayerTests.hpp b/src/armnn/backends/test/LayerTests.hpp
new file mode 100644
index 0000000000..fc0c9c7b14
--- /dev/null
+++ b/src/armnn/backends/test/LayerTests.hpp
@@ -0,0 +1,305 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+#pragma once
+
+#include "armnn/ArmNN.hpp"
+#include "armnn/Tensor.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);
+
+LayerTestResult<float, 4> SimpleConvolution2d3x3Test(armnn::IWorkloadFactory& workloadFactory,
+                                                     bool                     biasEnabled);
+
+LayerTestResult<float, 4>
+Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<float, 4> Convolution2dAsymmetricPaddingTest(armnn::IWorkloadFactory& workloadFactory);
+
+
+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);
+
+LayerTestResult<float, 4> DepthwiseConvolution2dDepthMul1Test(armnn::IWorkloadFactory& workloadFactory,
+                                                              bool biasEnabled);
+
+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> SimpleAveragePooling2dTest(armnn::IWorkloadFactory& workloadFactory);
+LayerTestResult<uint8_t, 4> SimpleAveragePooling2dUint8Test(armnn::IWorkloadFactory& workloadFactory);
+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);
+LayerTestResult<uint8_t, 4> SimpleL2Pooling2dUint8Test(armnn::IWorkloadFactory& workloadFactory);
+
+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, 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);
+
+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> CompareActivationTest(armnn::IWorkloadFactory&  workloadFactory,
+                                                armnn::IWorkloadFactory&  refWorkloadFactory,
+                                                armnn::ActivationFunction f,
+                                                unsigned int batchSize);
+
+LayerTestResult<float, 4> MultiplicationTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> CompareMultiplicationTest(armnn::IWorkloadFactory& workloadFactory,
+                                             armnn::IWorkloadFactory& refWorkloadFactory);
+
+LayerTestResult<float, 4> BatchNormTest(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);
+
+// Tests the behaviour of the resize bilinear operation when rescaling a 2x2 image into a 1x1 image
+LayerTestResult<float, 4> SimpleResizeBilinearTest(armnn::IWorkloadFactory& workloadFactory);
+
+// Tests 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);
+
+// Tests resize bilinear for minification (output dimensions smaller than input dimensions)
+LayerTestResult<float, 4> ResizeBilinearMinTest(armnn::IWorkloadFactory& workloadFactory);
+
+// Tests resize bilinear for magnification (output dimensions bigger than input dimensions)
+LayerTestResult<float, 4> ResizeBilinearMagTest(armnn::IWorkloadFactory& workloadFactory);
+
+LayerTestResult<float, 4> BatchNormTest(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> 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> 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> SimpleConvolution2d3x5Uint8Test(armnn::IWorkloadFactory& workloadFactory,
+                                                            bool                     biasEnabled);
+
+LayerTestResult<uint8_t, 4> SimpleConvolution2d3x3Uint8Test(armnn::IWorkloadFactory& workloadFactory,
+                                                            bool                     biasEnabled);
+
+LayerTestResult<uint8_t, 4> DepthwiseConvolution2dUint8Test(armnn::IWorkloadFactory& workloadFactory,
+                                                            bool                     biasEnabled);
+
+LayerTestResult<uint8_t, 4> DepthwiseConvolution2dDepthMul1Uint8Test(armnn::IWorkloadFactory& workloadFactory,
+                                                                     bool biasEnabled);
+
+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> 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);
+
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