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>

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)