diff options
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests')
3 files changed, 167 insertions, 84 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/ComparisonTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/ComparisonTestImpl.hpp new file mode 100644 index 0000000000..6ce9b306c0 --- /dev/null +++ b/src/backends/backendsCommon/test/layerTests/ComparisonTestImpl.hpp @@ -0,0 +1,126 @@ +// +// Copyright © 2019 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#pragma once + +#include "LayerTestResult.hpp" + +#include <armnn/ArmNN.hpp> + +#include <ResolveType.hpp> + +#include <backendsCommon/IBackendInternal.hpp> +#include <backendsCommon/Workload.hpp> +#include <backendsCommon/WorkloadData.hpp> +#include <backendsCommon/WorkloadFactory.hpp> + +#include <backendsCommon/test/TensorCopyUtils.hpp> +#include <backendsCommon/test/WorkloadTestUtils.hpp> + +#include <test/TensorHelpers.hpp> + +template <std::size_t NumDims, + armnn::DataType ArmnnInType, + typename InType = armnn::ResolveType<ArmnnInType>> +LayerTestResult<uint8_t, NumDims> ComparisonTestImpl( + armnn::IWorkloadFactory & workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, + const armnn::ComparisonDescriptor& descriptor, + const unsigned int shape0[NumDims], + std::vector<InType> values0, + float quantScale0, + int quantOffset0, + const unsigned int shape1[NumDims], + std::vector<InType> values1, + float quantScale1, + int quantOffset1, + const unsigned int outShape[NumDims], + std::vector<uint8_t> outValues, + float outQuantScale, + int outQuantOffset) +{ + armnn::TensorInfo inputTensorInfo0{NumDims, shape0, ArmnnInType}; + armnn::TensorInfo inputTensorInfo1{NumDims, shape1, ArmnnInType}; + armnn::TensorInfo outputTensorInfo{NumDims, outShape, armnn::DataType::Boolean}; + + auto input0 = MakeTensor<InType, NumDims>(inputTensorInfo0, values0); + auto input1 = MakeTensor<InType, NumDims>(inputTensorInfo1, values1); + + inputTensorInfo0.SetQuantizationScale(quantScale0); + inputTensorInfo0.SetQuantizationOffset(quantOffset0); + + inputTensorInfo1.SetQuantizationScale(quantScale1); + inputTensorInfo1.SetQuantizationOffset(quantOffset1); + + outputTensorInfo.SetQuantizationScale(outQuantScale); + outputTensorInfo.SetQuantizationOffset(outQuantOffset); + + LayerTestResult<uint8_t, NumDims> ret(outputTensorInfo); + + std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); + std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); + std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); + + armnn::ComparisonQueueDescriptor qDescriptor; + qDescriptor.m_Parameters = descriptor; + + armnn::WorkloadInfo info; + AddInputToWorkload(qDescriptor, info, inputTensorInfo0, inputHandle0.get()); + AddInputToWorkload(qDescriptor, info, inputTensorInfo1, inputHandle1.get()); + AddOutputToWorkload(qDescriptor, info, outputTensorInfo, outputHandle.get()); + + std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateComparison(qDescriptor, info); + + inputHandle0->Allocate(); + inputHandle1->Allocate(); + outputHandle->Allocate(); + + CopyDataToITensorHandle(inputHandle0.get(), input0.origin()); + CopyDataToITensorHandle(inputHandle1.get(), input1.origin()); + + workload->PostAllocationConfigure(); + ExecuteWorkload(*workload, memoryManager); + + CopyDataFromITensorHandle(ret.output.origin(), outputHandle.get()); + + ret.outputExpected = MakeTensor<uint8_t, NumDims>(outputTensorInfo, outValues); + ret.compareBoolean = true; + + return ret; +} + +template <std::size_t NumDims, + armnn::DataType ArmnnInType, + typename InType = armnn::ResolveType<ArmnnInType>> +LayerTestResult<uint8_t, NumDims> ComparisonTestImpl( + armnn::IWorkloadFactory & workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, + const armnn::ComparisonDescriptor& descriptor, + const unsigned int shape0[NumDims], + std::vector<InType> values0, + const unsigned int shape1[NumDims], + std::vector<InType> values1, + const unsigned int outShape[NumDims], + std::vector<uint8_t> outValues, + float qScale = 10.f, + int qOffset = 0) +{ + return ComparisonTestImpl<NumDims, ArmnnInType>( + workloadFactory, + memoryManager, + descriptor, + shape0, + values0, + qScale, + qOffset, + shape1, + values1, + qScale, + qOffset, + outShape, + outValues, + qScale, + qOffset); +} diff --git a/src/backends/backendsCommon/test/layerTests/EqualTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/EqualTestImpl.cpp index b0b613c137..a3d2b2796f 100644 --- a/src/backends/backendsCommon/test/layerTests/EqualTestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/EqualTestImpl.cpp @@ -4,18 +4,10 @@ // #include "EqualTestImpl.hpp" -#include "ElementwiseTestImpl.hpp" -#include <Half.hpp> +#include "ComparisonTestImpl.hpp" -template<> -std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::EqualQueueDescriptor>( - const armnn::IWorkloadFactory& workloadFactory, - const armnn::WorkloadInfo& info, - const armnn::EqualQueueDescriptor& descriptor) -{ - return workloadFactory.CreateEqual(descriptor, info); -} +#include <Half.hpp> LayerTestResult<uint8_t, 4> EqualSimpleTest(armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) @@ -39,9 +31,10 @@ LayerTestResult<uint8_t, 4> EqualSimpleTest(armnn::IWorkloadFactory& workloadFac std::vector<uint8_t> output({ 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1 }); - return ElementwiseTestHelper<4, armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( + return ComparisonTestImpl<4, armnn::DataType::Float32>( workloadFactory, memoryManager, + armnn::ComparisonDescriptor(armnn::ComparisonOperation::Equal), shape, input0, shape, @@ -62,9 +55,10 @@ LayerTestResult<uint8_t, 4> EqualBroadcast1ElementTest( std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0, 0, 0}); - return ElementwiseTestHelper<4, armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( + return ComparisonTestImpl<4, armnn::DataType::Float32>( workloadFactory, memoryManager, + armnn::ComparisonDescriptor(armnn::ComparisonOperation::Equal), shape0, input0, shape1, @@ -88,9 +82,10 @@ LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorTest( std::vector<uint8_t> output({ 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 }); - return ElementwiseTestHelper<4, armnn::EqualQueueDescriptor, armnn::DataType::Float32, armnn::DataType::Boolean>( + return ComparisonTestImpl<4, armnn::DataType::Float32>( workloadFactory, memoryManager, + armnn::ComparisonDescriptor(armnn::ComparisonOperation::Equal), shape0, input0, shape1, @@ -117,12 +112,10 @@ LayerTestResult<uint8_t, 4> EqualFloat16Test( std::vector<uint8_t> output({ 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0 }); - return ElementwiseTestHelper<4, - armnn::EqualQueueDescriptor, - armnn::DataType::Float16, - armnn::DataType::Boolean>( + return ComparisonTestImpl<4, armnn::DataType::Float16>( workloadFactory, memoryManager, + armnn::ComparisonDescriptor(armnn::ComparisonOperation::Equal), shape, input0, shape, @@ -148,12 +141,10 @@ LayerTestResult<uint8_t, 4> EqualBroadcast1ElementFloat16Test( std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }); - return ElementwiseTestHelper<4, - armnn::EqualQueueDescriptor, - armnn::DataType::Float16, - armnn::DataType::Boolean>( + return ComparisonTestImpl<4, armnn::DataType::Float16>( workloadFactory, memoryManager, + armnn::ComparisonDescriptor(armnn::ComparisonOperation::Equal), shape0, input0, shape1, @@ -179,12 +170,10 @@ LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorFloat16Test( std::vector<uint8_t> output({ 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 }); - return ElementwiseTestHelper<4, - armnn::EqualQueueDescriptor, - armnn::DataType::Float16, - armnn::DataType::Boolean>( + return ComparisonTestImpl<4, armnn::DataType::Float16>( workloadFactory, memoryManager, + armnn::ComparisonDescriptor(armnn::ComparisonOperation::Equal), shape0, input0, shape1, @@ -209,12 +198,10 @@ LayerTestResult<uint8_t, 4> EqualUint8Test( std::vector<uint8_t> output({ 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0 }); - return ElementwiseTestHelper<4, - armnn::EqualQueueDescriptor, - armnn::DataType::QuantisedAsymm8, - armnn::DataType::Boolean>( + return ComparisonTestImpl<4, armnn::DataType::QuantisedAsymm8>( workloadFactory, memoryManager, + armnn::ComparisonDescriptor(armnn::ComparisonOperation::Equal), shape, input0, shape, @@ -238,12 +225,10 @@ LayerTestResult<uint8_t, 4> EqualBroadcast1ElementUint8Test( std::vector<uint8_t> output({ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }); - return ElementwiseTestHelper<4, - armnn::EqualQueueDescriptor, - armnn::DataType::QuantisedAsymm8, - armnn::DataType::Boolean>( + return ComparisonTestImpl<4, armnn::DataType::QuantisedAsymm8>( workloadFactory, memoryManager, + armnn::ComparisonDescriptor(armnn::ComparisonOperation::Equal), shape0, input0, shape1, @@ -267,12 +252,10 @@ LayerTestResult<uint8_t, 4> EqualBroadcast1DVectorUint8Test( std::vector<uint8_t> output({ 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 }); - return ElementwiseTestHelper<4, - armnn::EqualQueueDescriptor, - armnn::DataType::QuantisedAsymm8, - armnn::DataType::Boolean>( + return ComparisonTestImpl<4, armnn::DataType::QuantisedAsymm8>( workloadFactory, memoryManager, + armnn::ComparisonDescriptor(armnn::ComparisonOperation::Equal), shape0, input0, shape1, diff --git a/src/backends/backendsCommon/test/layerTests/GreaterTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/GreaterTestImpl.cpp index 0148216285..271bc235a9 100644 --- a/src/backends/backendsCommon/test/layerTests/GreaterTestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/GreaterTestImpl.cpp @@ -4,18 +4,10 @@ // #include "GreaterTestImpl.hpp" -#include "ElementwiseTestImpl.hpp" -#include <Half.hpp> +#include "ComparisonTestImpl.hpp" -template<> -std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::GreaterQueueDescriptor>( - const armnn::IWorkloadFactory& workloadFactory, - const armnn::WorkloadInfo& info, - const armnn::GreaterQueueDescriptor& descriptor) -{ - return workloadFactory.CreateGreater(descriptor, info); -} +#include <Half.hpp> LayerTestResult<uint8_t, 4> GreaterSimpleTest(armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) @@ -45,12 +37,10 @@ LayerTestResult<uint8_t, 4> GreaterSimpleTest(armnn::IWorkloadFactory& workloadF 0, 0, 0, 0, 0, 0, 0, 0 }; - return ElementwiseTestHelper<4, - armnn::GreaterQueueDescriptor, - armnn::DataType::Float32, - armnn::DataType::Boolean>( + return ComparisonTestImpl<4, armnn::DataType::Float32>( workloadFactory, memoryManager, + armnn::ComparisonDescriptor(armnn::ComparisonOperation::Greater), shape, input0, shape, @@ -71,12 +61,10 @@ LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementTest( std::vector<uint8_t> output = { 0, 1, 1, 1, 1, 1, 1, 1}; - return ElementwiseTestHelper<4, - armnn::GreaterQueueDescriptor, - armnn::DataType::Float32, - armnn::DataType::Boolean>( + return ComparisonTestImpl<4, armnn::DataType::Float32>( workloadFactory, memoryManager, + armnn::ComparisonDescriptor(armnn::ComparisonOperation::Greater), shape0, input0, shape1, @@ -106,12 +94,10 @@ LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorTest( 1, 1, 1, 1, 1, 1 }; - return ElementwiseTestHelper<4, - armnn::GreaterQueueDescriptor, - armnn::DataType::Float32, - armnn::DataType::Boolean>( + return ComparisonTestImpl<4, armnn::DataType::Float32>( workloadFactory, memoryManager, + armnn::ComparisonDescriptor(armnn::ComparisonOperation::Greater), shape0, input0, shape1, @@ -151,12 +137,10 @@ LayerTestResult<uint8_t, 4> GreaterFloat16Test( 0, 0, 0, 0, 0, 0, 0, 0 }; - return ElementwiseTestHelper<4, - armnn::GreaterQueueDescriptor, - armnn::DataType::Float16, - armnn::DataType::Boolean>( + return ComparisonTestImpl<4,armnn::DataType::Float16>( workloadFactory, memoryManager, + armnn::ComparisonDescriptor(armnn::ComparisonOperation::Greater), shape, input0, shape, @@ -179,12 +163,10 @@ LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementFloat16Test( std::vector<uint8_t> output = { 0, 1, 1, 1, 1, 1, 1, 1}; - return ElementwiseTestHelper<4, - armnn::GreaterQueueDescriptor, - armnn::DataType::Float16, - armnn::DataType::Boolean>( + return ComparisonTestImpl<4, armnn::DataType::Float16>( workloadFactory, memoryManager, + armnn::ComparisonDescriptor(armnn::ComparisonOperation::Greater), shape0, input0, shape1, @@ -198,7 +180,7 @@ LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorFloat16Test( const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) { using namespace half_float::literal; - + const unsigned int shape0[] = { 1, 2, 2, 3 }; const unsigned int shape1[] = { 1, 1, 1, 3 }; @@ -216,12 +198,10 @@ LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorFloat16Test( 1, 1, 1, 1, 1, 1 }; - return ElementwiseTestHelper<4, - armnn::GreaterQueueDescriptor, - armnn::DataType::Float16, - armnn::DataType::Boolean>( + return ComparisonTestImpl<4, armnn::DataType::Float16>( workloadFactory, memoryManager, + armnn::ComparisonDescriptor(armnn::ComparisonOperation::Greater), shape0, input0, shape1, @@ -255,12 +235,10 @@ LayerTestResult<uint8_t, 4> GreaterUint8Test( 1, 1, 1, 1, 0, 0, 0, 0 }; - return ElementwiseTestHelper<4, - armnn::GreaterQueueDescriptor, - armnn::DataType::QuantisedAsymm8, - armnn::DataType::Boolean>( + return ComparisonTestImpl<4, armnn::DataType::QuantisedAsymm8>( workloadFactory, memoryManager, + armnn::ComparisonDescriptor(armnn::ComparisonOperation::Greater), shape, input0, shape, @@ -290,12 +268,10 @@ LayerTestResult<uint8_t, 4> GreaterBroadcast1ElementUint8Test( 1, 1, 1, 1, 1, 1 }; - return ElementwiseTestHelper<4, - armnn::GreaterQueueDescriptor, - armnn::DataType::QuantisedAsymm8, - armnn::DataType::Boolean>( + return ComparisonTestImpl<4, armnn::DataType::QuantisedAsymm8>( workloadFactory, memoryManager, + armnn::ComparisonDescriptor(armnn::ComparisonOperation::Greater), shape0, input0, shape1, @@ -325,12 +301,10 @@ LayerTestResult<uint8_t, 4> GreaterBroadcast1DVectorUint8Test( 1, 1, 1, 1, 1, 1 }; - return ElementwiseTestHelper<4, - armnn::GreaterQueueDescriptor, - armnn::DataType::QuantisedAsymm8, - armnn::DataType::Boolean>( + return ComparisonTestImpl<4, armnn::DataType::QuantisedAsymm8>( workloadFactory, memoryManager, + armnn::ComparisonDescriptor(armnn::ComparisonOperation::Greater), shape0, input0, shape1, |