IVGCVSW-3381 Break up LayerTests.hpp into more manageable files
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Icf39434f09fd340ad664cb3b97b8bee6d9da4838
diff --git a/src/backends/backendsCommon/test/layerTests/MeanTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/MeanTestImpl.hpp
new file mode 100644
index 0000000..d0bdfa4
--- /dev/null
+++ b/src/backends/backendsCommon/test/layerTests/MeanTestImpl.hpp
@@ -0,0 +1,178 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include "LayerTestResult.hpp"
+
+#include <ResolveType.hpp>
+
+#include <backendsCommon/IBackendInternal.hpp>
+#include <backendsCommon/WorkloadFactory.hpp>
+
+namespace
+{
+
+template<armnn::DataType ArmnnType, typename T, std::size_t InputDim, std::size_t OutputDim>
+LayerTestResult<T, OutputDim> MeanTestHelper(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const unsigned int* inputShape,
+ const std::vector<float>& inputData,
+ const std::vector<unsigned int>& axis,
+ bool keepDims,
+ const unsigned int* outputShape,
+ const std::vector<float>& outputData,
+ float scale = 1.0f,
+ int32_t offset = 0)
+{
+ armnn::TensorInfo inputTensorInfo(InputDim, inputShape, ArmnnType);
+ armnn::TensorInfo outputTensorInfo(OutputDim, outputShape, ArmnnType);
+
+ inputTensorInfo.SetQuantizationScale(scale);
+ inputTensorInfo.SetQuantizationOffset(offset);
+
+ outputTensorInfo.SetQuantizationScale(scale);
+ outputTensorInfo.SetQuantizationOffset(offset);
+
+ auto input = MakeTensor<T, InputDim>(inputTensorInfo, ConvertToDataType<ArmnnType>(inputData, inputTensorInfo));
+
+ LayerTestResult<T, OutputDim> result(outputTensorInfo);
+ result.outputExpected = MakeTensor<T, OutputDim>(
+ outputTensorInfo, ConvertToDataType<ArmnnType>(outputData, outputTensorInfo));
+
+ 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());
+
+ workload->PostAllocationConfigure();
+ workload->Execute();
+
+ CopyDataFromITensorHandle(result.output.origin(), outputHandle.get());
+
+ return result;
+}
+
+} // anonymous namespace
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 1> MeanSimpleTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int inputShape[] = { 3, 2 };
+ const unsigned int outputShape[] = { 1 };
+
+ std::vector<float> input({ 1.5f, 1.5f, 2.5f, 2.5f, 3.5f, 3.5f });
+ std::vector<float> output({ 2.5f });
+
+ return MeanTestHelper<ArmnnType, T, 2, 1>(
+ workloadFactory, memoryManager, inputShape, input, {}, false, outputShape, output);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 3> MeanSimpleAxisTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int inputShape[] = { 2, 3, 1, 2 };
+ const unsigned int outputShape[] = { 3, 1, 2 };
+
+ std::vector<float> input({ 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f, 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f });
+ std::vector<float> output({ 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f });
+
+ return MeanTestHelper<ArmnnType, T, 4, 3>(
+ workloadFactory, memoryManager, inputShape, input, { 0 }, false, outputShape, output);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> MeanKeepDimsTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int inputShape[] = { 1, 1, 3, 2 };
+ const unsigned int outputShape[] = { 1, 1, 1, 2 };
+
+ std::vector<float> input({ 1.5f, 1.5f, 2.5f, 2.5f, 3.5f, 3.5f });
+ std::vector<float> output({ 2.5f, 2.5f });
+
+ return MeanTestHelper<ArmnnType, T, 4, 4>(
+ workloadFactory, memoryManager, inputShape, input, { 2 }, true, outputShape, output);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> MeanMultipleDimsTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int inputShape[] = { 2, 3, 1, 2 };
+ const unsigned int outputShape[] = { 1, 3, 1, 1 };
+
+ std::vector<float> input({ 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f, 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5 });
+ std::vector<float> output({ 2.0f, 4.0f, 6.0f });
+
+ return MeanTestHelper<ArmnnType, T, 4, 4>(
+ workloadFactory, memoryManager, inputShape, input, { 0, 3 }, true, outputShape, output);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 1> MeanVts1Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ 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<ArmnnType, T, 3, 1>(
+ workloadFactory, memoryManager, inputShape, input, { 0, 1 }, false, outputShape, output);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 3> MeanVts2Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ 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<ArmnnType, T, 3, 3>(
+ workloadFactory, memoryManager, inputShape, input, { 0, 2 }, true, outputShape, output);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 3> MeanVts3Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int inputShape[] = { 1, 2, 2, 1 };
+ const unsigned int outputShape[] = { 1, 2, 1 };
+
+ std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f });
+ std::vector<float> output({ 1.5f, 3.5f });
+
+ return MeanTestHelper<ArmnnType, T, 4, 3>(
+ workloadFactory, memoryManager, inputShape, input, { 2 }, false, outputShape, output);
+}