diff options
author | Francis Murtagh <francis.murtagh@arm.com> | 2019-06-24 14:24:36 +0100 |
---|---|---|
committer | Matthew Bentham <matthew.bentham@arm.com> | 2019-06-25 08:48:10 +0000 |
commit | 57f13d5905a1fbdc89b53d68b2bdc6b753b9e8d5 (patch) | |
tree | a982eecfcb9cde7c8326034f7af4a333a2ab66b8 /src/backends/backendsCommon/test/LayerTests.cpp | |
parent | 34757810f8b734f5f59485a542b56934ad4cc5f0 (diff) | |
download | armnn-57f13d5905a1fbdc89b53d68b2bdc6b753b9e8d5.tar.gz |
IVGCVSW-3334 Refactor BatchToSpace tests to be generic
* Generify and reformat test BatchToSpace tests
* Add missing RefCreateWorkload test
Change-Id: I08af018c07ee41df5b9d1e578d99bc03f38090ac
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Diffstat (limited to 'src/backends/backendsCommon/test/LayerTests.cpp')
-rw-r--r-- | src/backends/backendsCommon/test/LayerTests.cpp | 432 |
1 files changed, 0 insertions, 432 deletions
diff --git a/src/backends/backendsCommon/test/LayerTests.cpp b/src/backends/backendsCommon/test/LayerTests.cpp index c9a5731190..64b9676a4b 100644 --- a/src/backends/backendsCommon/test/LayerTests.cpp +++ b/src/backends/backendsCommon/test/LayerTests.cpp @@ -9290,440 +9290,8 @@ LayerTestResult<float, 4> SpaceToDepthNCHWFloat32Test( namespace { -template<typename T, std::size_t InputDim, std::size_t OutputDim> -LayerTestResult<T, OutputDim> BatchToSpaceNdHelper( - armnn::IWorkloadFactory &workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, - const armnn::DataLayout& dataLayout, - const unsigned int *inputShape, - const std::vector<T> &inputData, - const std::vector<unsigned int> &blockShape, - const std::vector<std::pair<unsigned int, unsigned int>> &crops, - 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::BatchToSpaceNdQueueDescriptor data; - data.m_Parameters.m_DataLayout = dataLayout; - data.m_Parameters.m_BlockShape = blockShape; - data.m_Parameters.m_Crops = crops; - armnn::WorkloadInfo info; - AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); - AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); - - std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateBatchToSpaceNd(data, info); - - inputHandle->Allocate(); - outputHandle->Allocate(); - - CopyDataToITensorHandle(inputHandle.get(), input.origin()); - - workload->PostAllocationConfigure(); - workload->Execute(); - - CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); - - return result; -} - } // anonymous namespace -LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test1( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = {4, 2, 2, 1}; - const unsigned int outputShape[] = {1, 4, 4, 1}; - - std::vector<float> input({ - // Batch 0, Height 0, Width (2) x Channel (1) - 1.0f, 3.0f, - // Batch 0, Height 1, Width (2) x Channel (1) - 9.0f, 11.0f, - - - // Batch 1, Height 0, Width (2) x Channel (1) - 2.0f, 4.0f, - // Batch 1, Height 1, Width (2) x Channel (1) - 10.0f, 12.0f, - - - // Batch 2, Height 0, Width (2) x Channel (1) - 5.0f, 7.0f, - // Batch 2, Height 1, Width (2) x Channel (1) - 13.0f, 15.0f, - - // Batch 3, Height 0, Width (2) x Channel (3) - 6.0f, 8.0f, - // Batch 3, Height 1, Width (2) x Channel (1) - 14.0f, 16.0f - }); - - std::vector<float> expectedOutput({ - 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 - }); - - std::vector<unsigned int> blockShape {2, 2}; - std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; - - return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, - armnn::DataLayout::NHWC, inputShape, input, blockShape, - crops, outputShape, expectedOutput); -} - -LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test2( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = {4, 1, 1, 1}; - const unsigned int outputShape[] = {1, 2, 2, 1}; - - std::vector<float> input({ - // Batch 0, Height 0, Width (2) x Channel (1) - 1.0f, 2.0f, 3.0f, 4.0f - }); - - std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f}); - - std::vector<unsigned int> blockShape({2, 2}); - std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; - - return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, - armnn::DataLayout::NHWC, inputShape, input, blockShape, - crops, outputShape, expectedOutput); -} - -LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test3( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = {4, 1, 1, 3}; - const unsigned int outputShape[] = {1, 2, 2, 3}; - - 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}); - - std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}); - - std::vector<unsigned int> blockShape({2, 2}); - std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; - - return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, - armnn::DataLayout::NHWC, inputShape, input, blockShape, - crops, outputShape, expectedOutput); -} - -LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test4( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = {8, 1, 3, 1}; - const unsigned int outputShape[] = {2, 2, 4, 1}; - - std::vector<float> input({ - 0.0f, 1.0f, 3.0f, - 0.0f, 9.0f, 11.0f, - 0.0f, 2.0f, 4.0f, - 0.0f, 10.0f, 12.0f, - 0.0f, 5.0f, 7.0f, - 0.0f, 13.0f, 15.0f, - 0.0f, 6.0f, 8.0f, - 0.0f, 14.0f, 16.0f - }); - - std::vector<float> expectedOutput({ - 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 - }); - - std::vector<unsigned int> blockShape({2, 2}); - std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}}; - - return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, - armnn::DataLayout::NHWC, inputShape, input, blockShape, - crops, outputShape, expectedOutput); -} - -LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test1( - armnn::IWorkloadFactory &workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = {4, 3, 1, 1}; - const unsigned int outputShape[] = {1, 3, 2, 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}); - - std::vector<float> expectedOutput({ - // Batch 0, Channel 0, Height (2) x Width (2) - 1.0f, 4.0f, - 7.0f, 10.0f, - - // Batch 0, Channel 1, Height (2) x Width (2) - 2.0f, 5.0f, - 8.0f, 11.0f, - - // Batch 0, Channel 2, Height (2) x Width (2) - 3.0f, 6.0f, - 9.0f, 12.0f, - }); - - std::vector<unsigned int> blockShape({2, 2}); - std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; - - return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, - armnn::DataLayout::NCHW, inputShape, input, blockShape, - crops, outputShape, expectedOutput); -} - -LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test2( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = {4, 1, 1, 1}; - const unsigned int outputShape[] = {1, 1, 2, 2}; - - std::vector<float> input({ - // Batch 0, Height 0, Width (2) x Channel (1) - 1.0f, 2.0f, 3.0f, 4.0f - }); - - std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f}); - - std::vector<unsigned int> blockShape({2, 2}); - std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; - - return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, - armnn::DataLayout::NCHW, inputShape, input, blockShape, - crops, outputShape, expectedOutput); -} - -LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test3( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = {4, 3, 1, 1}; - const unsigned int outputShape[] = {1, 3, 2, 2}; - - std::vector<float> input({1.0f, 3.0f, 5.0f, 7.0f, 9.0f, 11.0f, 2.0f, 4.0f, 6.0f, 8.0f, 10.0f, 12.0f}); - - std::vector<float> expectedOutput({ - // Batch 0, Channel 0, Height (2) x Width (2) - 1.0f, 7.0f, - 2.0f, 8.0f, - - // Batch 0, Channel 1, Height (2) x Width (2) - 3.0f, 9.0f, - 4.0f, 10.0f, - - // Batch 0, Channel 2, Height (2) x Width (2) - 5.0f, 11.0f, - 6.0f, 12.0f, - }); - - std::vector<unsigned int> blockShape({2, 2}); - std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; - - return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, - armnn::DataLayout::NCHW, inputShape, input, blockShape, - crops, outputShape, expectedOutput); -} - -LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest1( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = {4, 2, 2, 1}; - const unsigned int outputShape[] = {1, 4, 4, 1}; - - std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}); - std::vector<uint8_t> expectedOutput({1, 5, 2, 6, 9, 13, 10, 14, 3, 7, 4, 8, 11, 15, 12, 16}); - - std::vector<unsigned int> blockShape({2, 2}); - std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; - - return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, armnn::DataLayout::NHWC, inputShape, - input, blockShape, crops, outputShape, expectedOutput); -} - -LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest2( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = {4, 1, 1, 1}; - const unsigned int outputShape[] = {1, 2, 2, 1}; - - std::vector<uint8_t> input({ - // Batch 0, Height 0, Width (2) x Channel (1) - 1, 2, 3, 4 - }); - - std::vector<uint8_t> expectedOutput({1, 2, 3, 4}); - - std::vector<unsigned int> blockShape({2, 2}); - std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; - - return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, - armnn::DataLayout::NHWC, inputShape, input, blockShape, - crops, outputShape, expectedOutput); -} - -LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest3( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = {4, 1, 1, 3}; - const unsigned int outputShape[] = {1, 2, 2, 3}; - - std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); - - std::vector<uint8_t> expectedOutput({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); - - std::vector<unsigned int> blockShape({2, 2}); - std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; - - return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, - armnn::DataLayout::NHWC, inputShape, input, blockShape, - crops, outputShape, expectedOutput); -} - - -LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest1( - armnn::IWorkloadFactory &workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = {4, 3, 1, 1}; - const unsigned int outputShape[] = {1, 3, 2, 2}; - - std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); - - std::vector<uint8_t> expectedOutput({ - // Batch 0, Channel 0, Height (2) x Width (2) - 1, 4, - 7, 10, - - // Batch 0, Channel 1, Height (2) x Width (2) - 2, 5, - 8, 11, - - // Batch 0, Channel 2, Height (2) x Width (2) - 3, 6, - 9, 12, - }); - - std::vector<unsigned int> blockShape({2, 2}); - std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; - - return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, - armnn::DataLayout::NCHW, inputShape, input, blockShape, - crops, outputShape, expectedOutput); -} - -LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest2( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = {4, 1, 1, 1}; - const unsigned int outputShape[] = {1, 1, 2, 2}; - - std::vector<uint8_t> input({ - // Batch 0, Height 0, Width (2) x Channel (1) - 1, 2, 3, 4 - }); - - std::vector<uint8_t> expectedOutput({1, 2, 3, 4}); - - std::vector<unsigned int> blockShape({2, 2}); - std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; - - return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, - armnn::DataLayout::NCHW, inputShape, input, blockShape, - crops, outputShape, expectedOutput); -} - -LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest3( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = {4, 3, 1, 1}; - const unsigned int outputShape[] = {1, 3, 2, 2}; - - std::vector<uint8_t> input({1, 3, 5, 7, 9, 11, 2, 4, 6, 8, 10, 12}); - - std::vector<uint8_t> expectedOutput({ - // Batch 0, Channel 0, Height (2) x Width (2) - 1, 7, - 2, 8, - - // Batch 0, Channel 1, Height (2) x Width (2) - 3, 9, - 4, 10, - - // Batch 0, Channel 2, Height (2) x Width (2) - 5, 11, - 6, 12, - }); - - std::vector<unsigned int> blockShape({2, 2}); - std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; - - return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, - armnn::DataLayout::NCHW, inputShape, input, blockShape, - crops, outputShape, expectedOutput); -} - -LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest4( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = {8, 1, 1, 3}; - const unsigned int outputShape[] = {2, 1, 2, 4}; - - std::vector<uint8_t> input({ - 0, 1, 3, 0, 9, 11, - 0, 2, 4, 0, 10, 12, - 0, 5, 7, 0, 13, 15, - 0, 6, 8, 0, 14, 16 - }); - - std::vector<uint8_t> expectedOutput({ - 1, 2, 3, 4, - 5, 6, 7, 8, - 9, 10, 11, 12, - 13, 14, 15, 16 - }); - - std::vector<unsigned int> blockShape({2, 2}); - std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}}; - - return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, - armnn::DataLayout::NCHW, inputShape, input, blockShape, - crops, outputShape, expectedOutput); -} - LayerTestResult<float, 4> StridedSlice4DFloat32Test( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |