IVGCVSW-1812 Adding Ref implementation and tests of MeanWorkloads

Change-Id: I6fb15c407024e3b91d5abf4513f8090be5821760

1 files changed, 182 insertions, 1 deletions

diff --git a/src/backends/test/LayerTests.cpp b/src/backends/test/LayerTests.cpp
index 8f06690018..4f6cb93670 100644
--- a/src/backends/test/LayerTests.cpp
+++ b/src/backends/test/LayerTests.cpp
@@ -4747,4 +4747,185 @@ LayerTestResult<float, 4> PermuteFloat32ValueSet2Test(armnn::IWorkloadFactory& w
 LayerTestResult<float, 4> PermuteFloat32ValueSet3Test(armnn::IWorkloadFactory& workloadFactory)
 {
     return PermuteFloat32ValueSet3TestCommon(workloadFactory);
-};
\ No newline at end of file
+};
+
+namespace
+{
+template <typename T, std::size_t InputDim, std::size_t OutputDim>
+LayerTestResult<T, OutputDim> MeanTestHelper(armnn::IWorkloadFactory& workloadFactory,
+                                     const unsigned int* inputShape,
+                                     const std::vector<T>& inputData,
+                                     const std::vector<unsigned int>& axis,
+                                     bool keepDims,
+                                     const unsigned int* outputShape,
+                                     const std::vector<T>& outputData,
+                                     float scale = 1.0f,
+                                     int32_t offset = 0)
+{
+    auto dataType = (std::is_same<T, uint8_t>::value ?
+                     armnn::DataType::QuantisedAsymm8 :
+                     armnn::DataType::Float32);
+
+    armnn::TensorInfo inputTensorInfo(InputDim, inputShape, dataType);
+    armnn::TensorInfo outputTensorInfo(OutputDim, outputShape, dataType);
+
+    inputTensorInfo.SetQuantizationScale(scale);
+    inputTensorInfo.SetQuantizationOffset(offset);
+
+    outputTensorInfo.SetQuantizationScale(scale);
+    outputTensorInfo.SetQuantizationOffset(offset);
+
+    auto input = MakeTensor<T, InputDim>(inputTensorInfo, inputData);
+
+    LayerTestResult<T, OutputDim> result(outputTensorInfo);
+    result.outputExpected = MakeTensor<T, OutputDim>(outputTensorInfo, outputData);
+
+    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
+
+    armnn::MeanQueueDescriptor data;
+    data.m_Parameters.m_Axis = axis;
+    data.m_Parameters.m_KeepDims = keepDims;
+    armnn::WorkloadInfo info;
+    AddInputToWorkload(data,  info, inputTensorInfo, inputHandle.get());
+    AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
+
+    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMean(data, info);
+
+    inputHandle->Allocate();
+    outputHandle->Allocate();
+
+    CopyDataToITensorHandle(inputHandle.get(), input.origin());
+
+    workloadFactory.Finalize();
+    workload->Execute();
+
+    CopyDataFromITensorHandle(result.output.origin(), outputHandle.get());
+
+    return result;
+}
+} // anonymous namespace
+
+LayerTestResult<uint8_t, 1> MeanUint8SimpleTest(armnn::IWorkloadFactory& workloadFactory)
+{
+    const unsigned int inputShape[] = { 3, 2 };
+    const unsigned int outputShape[] = { 1 };
+
+    std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 });
+    std::vector<uint8_t> output({ 2 });
+
+    return MeanTestHelper<uint8_t, 2, 1>(workloadFactory, inputShape, input, {}, false, outputShape, output);
+}
+
+LayerTestResult<uint8_t, 3> MeanUint8SimpleAxisTest(armnn::IWorkloadFactory& workloadFactory)
+{
+    const unsigned int inputShape[] = { 1, 1, 3, 2 };
+    const unsigned int outputShape[] = { 1, 1, 2 };
+
+    std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 });
+    std::vector<uint8_t> output({ 2, 2 });
+
+    return MeanTestHelper<uint8_t, 4, 3>(workloadFactory, inputShape, input, {2}, false, outputShape, output);
+}
+
+LayerTestResult<uint8_t, 4> MeanUint8KeepDimsTest(armnn::IWorkloadFactory& workloadFactory)
+{
+    const unsigned int inputShape[] = { 1, 1, 3, 2 };
+    const unsigned int outputShape[] = { 1, 1, 1, 2 };
+
+    std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 });
+    std::vector<uint8_t> output({ 2, 2 });
+
+    return MeanTestHelper<uint8_t, 4, 4>(workloadFactory, inputShape, input, {2}, true, outputShape, output);
+}
+
+LayerTestResult<uint8_t, 4> MeanUint8MultipleDimsTest(armnn::IWorkloadFactory& workloadFactory)
+{
+    const unsigned int inputShape[] = { 2, 3, 1, 2 };
+    const unsigned int outputShape[] = { 1, 3, 1, 1 };
+
+    std::vector<uint8_t> input({ 1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6});
+    std::vector<uint8_t> output({ 1, 3, 5 });
+
+    return MeanTestHelper<uint8_t, 4, 4>(workloadFactory, inputShape, input, {0, 3}, true, outputShape, output);
+}
+
+LayerTestResult<uint8_t, 1> MeanVtsUint8Test(armnn::IWorkloadFactory& workloadFactory)
+{
+    const unsigned int inputShape[] = {4, 3, 2};
+    const unsigned int outputShape[] = { 2 };
+
+    std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24});
+    std::vector<uint8_t> output({12, 13});
+
+    return MeanTestHelper<uint8_t, 3, 1>(workloadFactory, inputShape, input, {0, 1}, false, outputShape,
+        output, 0.8f, 5);
+}
+
+LayerTestResult<float, 1> MeanFloatSimpleTest(armnn::IWorkloadFactory& workloadFactory)
+{
+    const unsigned int inputShape[] = { 3, 2 };
+    const unsigned int outputShape[] = { 1 };
+
+    std::vector<float> input({ 1., 1., 2., 2., 3., 3. });
+    std::vector<float> output({ 2. });
+
+    return MeanTestHelper<float, 2, 1>(workloadFactory, inputShape, input, {}, false, outputShape, output);
+}
+
+LayerTestResult<float, 3> MeanFloatSimpleAxisTest(armnn::IWorkloadFactory& workloadFactory)
+{
+    const unsigned int inputShape[] = { 2, 3, 1, 2 };
+    const unsigned int outputShape[] = { 3, 1, 2 };
+
+    std::vector<float> input({ 1., 2., 3., 4., 5., 6., 1., 2., 3., 4., 5., 6.});
+    std::vector<float> output({ 1., 2., 3., 4., 5., 6. });
+
+    return MeanTestHelper<float, 4, 3>(workloadFactory, inputShape, input, {0}, false, outputShape, output);
+}
+
+LayerTestResult<float, 4> MeanFloatKeepDimsTest(armnn::IWorkloadFactory& workloadFactory)
+{
+    const unsigned int inputShape[] = { 1, 1, 3, 2 };
+    const unsigned int outputShape[] = { 1, 1, 1, 2 };
+
+    std::vector<float> input({ 1., 1., 2., 2., 3., 3. });
+    std::vector<float> output({ 2., 2. });
+
+    return MeanTestHelper<float, 4, 4>(workloadFactory, inputShape, input, {2}, true, outputShape, output);
+}
+
+LayerTestResult<float, 4> MeanFloatMultipleDimsTest(armnn::IWorkloadFactory& workloadFactory)
+{
+    const unsigned int inputShape[] = { 2, 3, 1, 2 };
+    const unsigned int outputShape[] = { 1, 3, 1, 1 };
+
+    std::vector<float> input({ 1., 2., 3., 4., 5., 6., 1., 2., 3., 4., 5., 6.});
+    std::vector<float> output({ 1.5, 3.5, 5.5 });
+
+    return MeanTestHelper<float, 4, 4>(workloadFactory, inputShape, input, {0, 3}, true, outputShape, output);
+}
+
+LayerTestResult<float, 1> MeanVtsFloat1Test(armnn::IWorkloadFactory& workloadFactory)
+{
+    const unsigned int inputShape[] = {4, 3, 2};
+    const unsigned int outputShape[] = { 2 };
+
+    std::vector<float> input({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f,
+                              15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f});
+    std::vector<float> output({12.0f, 13.0f});
+
+    return MeanTestHelper<float, 3, 1>(workloadFactory, inputShape, input, {0, 1}, false, outputShape, output);
+}
+
+LayerTestResult<float, 3> MeanVtsFloat2Test(armnn::IWorkloadFactory& workloadFactory)
+{
+    const unsigned int inputShape[] = {4, 3, 2};
+    const unsigned int outputShape[] = {1, 3, 1 };
+
+    std::vector<float> input({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f,
+                              15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f});
+    std::vector<float> output({10.5f, 12.5f, 14.5f});
+
+    return MeanTestHelper<float, 3, 3>(workloadFactory, inputShape, input, {0, 2}, true, outputShape, output);
+}