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>

6 files changed, 559 insertions, 476 deletions

diff --git a/src/armnn/test/CreateWorkload.hpp b/src/armnn/test/CreateWorkload.hpp
index 47af4a89b5..00257ea090 100644
--- a/src/armnn/test/CreateWorkload.hpp
+++ b/src/armnn/test/CreateWorkload.hpp
@@ -914,6 +914,35 @@ std::unique_ptr<RsqrtWorkload> CreateRsqrtWorkloadTest(armnn::IWorkloadFactory&
     return workload;
 }
 
+template <typename BatchToSpaceNdWorkload, armnn::DataType DataType>
+std::unique_ptr<BatchToSpaceNdWorkload> CreateBatchToSpaceNdWorkloadTest(armnn::IWorkloadFactory& factory,
+                                                                         armnn::Graph&  graph)
+{
+    BatchToSpaceNdDescriptor desc;
+    Layer* const layer = graph.AddLayer<BatchToSpaceNdLayer>(desc, "batchToSpace");
+
+    // Creates extra layers.
+    Layer* const input = graph.AddLayer<InputLayer>(0, "input");
+    Layer* const output = graph.AddLayer<OutputLayer>(0, "output");
+
+    // Connects up.
+    armnn::TensorInfo tensorInfo({1, 1}, DataType);
+
+    Connect(input, layer, tensorInfo);
+    Connect(layer, output, tensorInfo);
+
+    CreateTensorHandles(graph, factory);
+
+    // Makes the workload and checks it.
+    auto workload = MakeAndCheckWorkload<BatchToSpaceNdWorkload>(*layer, graph, factory);
+
+    BatchToSpaceNdQueueDescriptor queueDescriptor = workload->GetData();
+    BOOST_TEST(queueDescriptor.m_Inputs.size() == 1);
+    BOOST_TEST(queueDescriptor.m_Outputs.size() == 1);
+
+    return workload;
+}
+
 template <typename L2NormalizationWorkload, armnn::DataType DataType>
 std::unique_ptr<L2NormalizationWorkload> CreateL2NormalizationWorkloadTest(armnn::IWorkloadFactory& factory,
     armnn::Graph& graph, DataLayout dataLayout = DataLayout::NCHW)
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)
diff --git a/src/backends/backendsCommon/test/LayerTests.hpp b/src/backends/backendsCommon/test/LayerTests.hpp
index be16819990..77adca1ac7 100644
--- a/src/backends/backendsCommon/test/LayerTests.hpp
+++ b/src/backends/backendsCommon/test/LayerTests.hpp
@@ -1653,59 +1653,59 @@ LayerTestResult<int16_t, 4> SpaceToBatchNdPaddingNHWCUint16Test(
         armnn::IWorkloadFactory& workloadFactory,
         const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
-LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test1(
+LayerTestResult<float, 4> BatchToSpaceNdNhwcTest1(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
-LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test2(
+LayerTestResult<float, 4> BatchToSpaceNdNhwcTest2(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
-LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test3(
+LayerTestResult<float, 4> BatchToSpaceNdNhwcTest3(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
-LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test4(
+LayerTestResult<float, 4> BatchToSpaceNdNhwcTest4(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
-LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test1(
+LayerTestResult<float, 4> BatchToSpaceNdNchwTest1(
     armnn::IWorkloadFactory &workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
-LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test2(
+LayerTestResult<float, 4> BatchToSpaceNdNchwTest2(
     armnn::IWorkloadFactory &workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
-LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test3(
+LayerTestResult<float, 4> BatchToSpaceNdNchwTest3(
     armnn::IWorkloadFactory &workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
-LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest1(
+LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcTest5(
     armnn::IWorkloadFactory &workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
-LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest2(
+LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcTest6(
     armnn::IWorkloadFactory &workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
-LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest3(
+LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcTest7(
     armnn::IWorkloadFactory &workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
-LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest1(
+LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwTest4(
     armnn::IWorkloadFactory &workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
-LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest2(
+LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwTest5(
     armnn::IWorkloadFactory &workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
-LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest3(
+LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwTest6(
     armnn::IWorkloadFactory &workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
-LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest4(
+LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwTest7(
     armnn::IWorkloadFactory &workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
 
@@ -3287,6 +3287,453 @@ LayerTestResult<T, 4> PreluTest(
     return result;
 }
 
+template<armnn::DataType ArmnnType,
+        std::size_t InputDim,
+        std::size_t OutputDim,
+        typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, OutputDim> BatchToSpaceNdHelper(
+        armnn::IWorkloadFactory &workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::DataLayout& dataLayout,
+        const unsigned int *inputShape,
+        const std::vector<float> &inputData,
+        const std::vector<unsigned int> &blockShape,
+        const std::vector<std::pair<unsigned int, unsigned int>> &crops,
+        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::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;
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> BatchToSpaceNdNhwcTest1(
+        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<ArmnnType, 4, 4>(workloadFactory, memoryManager,
+                                                                armnn::DataLayout::NHWC, inputShape, input, blockShape,
+                                                                crops, outputShape, expectedOutput);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> BatchToSpaceNdNhwcTest2(
+        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<ArmnnType, 4, 4>(workloadFactory, memoryManager,
+                                                                armnn::DataLayout::NHWC, inputShape, input, blockShape,
+                                                                crops, outputShape, expectedOutput);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> BatchToSpaceNdNhwcTest3(
+        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<ArmnnType, 4, 4>(workloadFactory, memoryManager,
+                                                                armnn::DataLayout::NHWC, inputShape, input, blockShape,
+                                                                crops, outputShape, expectedOutput);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> BatchToSpaceNdNhwcTest4(
+        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<ArmnnType, 4, 4>(workloadFactory, memoryManager,
+                                                                armnn::DataLayout::NHWC, inputShape, input, blockShape,
+                                                                crops, outputShape, expectedOutput);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> BatchToSpaceNdNhwcTest5(
+        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({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16});
+    std::vector<float> 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<ArmnnType, 4, 4>(workloadFactory, memoryManager, armnn::DataLayout::NHWC, inputShape,
+                                                 input, blockShape, crops, outputShape, expectedOutput);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> BatchToSpaceNdNhwcTest6(
+        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, 2, 3, 4
+                             });
+
+    std::vector<float> 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<ArmnnType, 4, 4>(workloadFactory, memoryManager,
+                                                 armnn::DataLayout::NHWC, inputShape, input, blockShape,
+                                                 crops, outputShape, expectedOutput);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> BatchToSpaceNdNhwcTest7(
+        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, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
+
+    std::vector<float> 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<ArmnnType, 4, 4>(workloadFactory, memoryManager,
+                                                 armnn::DataLayout::NHWC, inputShape, input, blockShape,
+                                                 crops, outputShape, expectedOutput);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> BatchToSpaceNdNchwTest1(
+        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<ArmnnType, 4, 4>(workloadFactory, memoryManager,
+                                                                armnn::DataLayout::NCHW, inputShape, input, blockShape,
+                                                                crops, outputShape, expectedOutput);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> BatchToSpaceNdNchwTest2(
+        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<ArmnnType, 4, 4>(workloadFactory, memoryManager,
+                                                                armnn::DataLayout::NCHW, inputShape, input, blockShape,
+                                                                crops, outputShape, expectedOutput);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> BatchToSpaceNdNchwTest3(
+        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<ArmnnType, 4, 4>(workloadFactory, memoryManager,
+                                                                armnn::DataLayout::NCHW, inputShape, input, blockShape,
+                                                                crops, outputShape, expectedOutput);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> BatchToSpaceNdNchwTest4(
+        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, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
+
+    std::vector<float> 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<ArmnnType, 4, 4>(workloadFactory, memoryManager,
+                                                 armnn::DataLayout::NCHW, inputShape, input, blockShape,
+                                                 crops, outputShape, expectedOutput);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> BatchToSpaceNdNchwTest5(
+        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, 2, 3, 4
+                             });
+
+    std::vector<float> 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<ArmnnType, 4, 4>(workloadFactory, memoryManager,
+                                                 armnn::DataLayout::NCHW, inputShape, input, blockShape,
+                                                 crops, outputShape, expectedOutput);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> BatchToSpaceNdNchwTest6(
+        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, 3, 5, 7, 9, 11, 2, 4, 6, 8, 10, 12});
+
+    std::vector<float> 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<ArmnnType, 4, 4>(workloadFactory, memoryManager,
+                                                 armnn::DataLayout::NCHW, inputShape, input, blockShape,
+                                                 crops, outputShape, expectedOutput);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> BatchToSpaceNdNchwTest7(
+        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<float> 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<float> 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<ArmnnType, 4, 4>(workloadFactory, memoryManager,
+                                                 armnn::DataLayout::NCHW, inputShape, input, blockShape,
+                                                 crops, outputShape, expectedOutput);
+}
+
 template LayerTestResult<typename armnn::ResolveType<armnn::DataType::Float32>, 4>
 PreluTest<armnn::DataType::Float32>(
         armnn::IWorkloadFactory& workloadFactory,
diff --git a/src/backends/cl/test/ClLayerTests.cpp b/src/backends/cl/test/ClLayerTests.cpp
index 0d6f4d3785..db6bd82a9a 100644
--- a/src/backends/cl/test/ClLayerTests.cpp
+++ b/src/backends/cl/test/ClLayerTests.cpp
@@ -41,21 +41,21 @@ ARMNN_AUTO_TEST_CASE(Logistic, SimpleSigmoidTest)
 ARMNN_AUTO_TEST_CASE(LogisticUint8, SimpleSigmoidUint8Test)
 
 // Batch To Space
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcFloat321, BatchToSpaceNdNhwcFloat32Test1)
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcFloat322, BatchToSpaceNdNhwcFloat32Test2)
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcFloat323, BatchToSpaceNdNhwcFloat32Test3)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcFloat321, BatchToSpaceNdNhwcTest1<armnn::DataType::Float32>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcFloat322, BatchToSpaceNdNhwcTest2<armnn::DataType::Float32>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcFloat323, BatchToSpaceNdNhwcTest3<armnn::DataType::Float32>)
 
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwFloat321, BatchToSpaceNdNchwFloat32Test1)
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwFloat322, BatchToSpaceNdNchwFloat32Test2)
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwFloat323, BatchToSpaceNdNchwFloat32Test3)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwFloat321, BatchToSpaceNdNchwTest1<armnn::DataType::Float32>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwFloat322, BatchToSpaceNdNchwTest2<armnn::DataType::Float32>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwFloat323, BatchToSpaceNdNchwTest3<armnn::DataType::Float32>)
 
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcUint1, BatchToSpaceNdNhwcUintTest1)
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcUint2, BatchToSpaceNdNhwcUintTest2)
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcUint3, BatchToSpaceNdNhwcUintTest3)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcUint1, BatchToSpaceNdNhwcTest1<armnn::DataType::QuantisedAsymm8>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcUint2, BatchToSpaceNdNhwcTest2<armnn::DataType::QuantisedAsymm8>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcUint3, BatchToSpaceNdNhwcTest3<armnn::DataType::QuantisedAsymm8>)
 
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwUint1, BatchToSpaceNdNchwUintTest1)
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwUint2, BatchToSpaceNdNchwUintTest2)
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwUint3, BatchToSpaceNdNchwUintTest3)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwUint1, BatchToSpaceNdNchwTest1<armnn::DataType::QuantisedAsymm8>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwUint2, BatchToSpaceNdNchwTest2<armnn::DataType::QuantisedAsymm8>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwUint3, BatchToSpaceNdNchwTest3<armnn::DataType::QuantisedAsymm8>)
 
 // Fully Connected
 ARMNN_AUTO_TEST_CASE(SimpleFullyConnected, FullyConnectedFloat32Test, false, false)
diff --git a/src/backends/reference/test/RefCreateWorkloadTests.cpp b/src/backends/reference/test/RefCreateWorkloadTests.cpp
index d174093fd4..67b1d945db 100644
--- a/src/backends/reference/test/RefCreateWorkloadTests.cpp
+++ b/src/backends/reference/test/RefCreateWorkloadTests.cpp
@@ -691,6 +691,29 @@ BOOST_AUTO_TEST_CASE(CreateRsqrtQsymm16)
     RefCreateRsqrtTest<RefRsqrtWorkload, armnn::DataType::QuantisedSymm16>();
 }
 
+template <typename BatchToSpaceNdWorkloadType, armnn::DataType DataType>
+static void RefCreateBatchToSpaceNdTest()
+{
+    Graph graph;
+    RefWorkloadFactory factory;
+
+    auto workload = CreateBatchToSpaceNdWorkloadTest<BatchToSpaceNdWorkloadType, DataType>(factory, graph);
+
+    CheckInputOutput(std::move(workload),
+                     TensorInfo({ 1, 1 }, DataType),
+                     TensorInfo({ 1, 1 }, DataType));
+}
+
+BOOST_AUTO_TEST_CASE(CreateBatchToSpaceNdFloat32)
+{
+    RefCreateBatchToSpaceNdTest<RefBatchToSpaceNdWorkload, armnn::DataType::Float32>();
+}
+
+BOOST_AUTO_TEST_CASE(CreateBatchToSpaceNdUint8)
+{
+    RefCreateBatchToSpaceNdTest<RefBatchToSpaceNdWorkload, armnn::DataType::QuantisedAsymm8>();
+}
+
 template <typename L2NormalizationWorkloadType, armnn::DataType DataType>
 static void RefCreateL2NormalizationTest(DataLayout dataLayout)
 {
diff --git a/src/backends/reference/test/RefLayerTests.cpp b/src/backends/reference/test/RefLayerTests.cpp
index 9cb8d13adc..4cb261f07d 100644
--- a/src/backends/reference/test/RefLayerTests.cpp
+++ b/src/backends/reference/test/RefLayerTests.cpp
@@ -811,24 +811,40 @@ ARMNN_AUTO_TEST_CASE(SpaceToBatchNdMultiChannelsNHWCUint16, SpaceToBatchNdMultiC
 ARMNN_AUTO_TEST_CASE(SpaceToBatchNdMultiBlockNHWCUint16, SpaceToBatchNdMultiBlockNHWCUint16Test)
 ARMNN_AUTO_TEST_CASE(SpaceToBatchNdPaddingNHWCUint16, SpaceToBatchNdPaddingNHWCUint16Test)
 
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcFloat321, BatchToSpaceNdNhwcFloat32Test1)
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcFloat322, BatchToSpaceNdNhwcFloat32Test2)
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcFloat323, BatchToSpaceNdNhwcFloat32Test3)
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcFloat324, BatchToSpaceNdNhwcFloat32Test4)
-
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwFloat321, BatchToSpaceNdNchwFloat32Test1)
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwFloat322, BatchToSpaceNdNchwFloat32Test2)
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwFloat323, BatchToSpaceNdNchwFloat32Test3)
-
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcUint1, BatchToSpaceNdNhwcUintTest1)
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcUint2, BatchToSpaceNdNhwcUintTest2)
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcUint3, BatchToSpaceNdNhwcUintTest3)
-
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwUint1, BatchToSpaceNdNchwUintTest1)
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwUint2, BatchToSpaceNdNchwUintTest2)
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwUint3, BatchToSpaceNdNchwUintTest3)
-ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwUint4, BatchToSpaceNdNchwUintTest4)
-
+// BatchToSpace
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcFloat1, BatchToSpaceNdNhwcTest1<armnn::DataType::Float32>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcFloat2, BatchToSpaceNdNhwcTest2<armnn::DataType::Float32>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcFloat3, BatchToSpaceNdNhwcTest3<armnn::DataType::Float32>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcFloat4, BatchToSpaceNdNhwcTest4<armnn::DataType::Float32>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcFloat5, BatchToSpaceNdNhwcTest5<armnn::DataType::Float32>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcFloat6, BatchToSpaceNdNhwcTest6<armnn::DataType::Float32>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcFloat7, BatchToSpaceNdNhwcTest7<armnn::DataType::Float32>)
+
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcUint1,  BatchToSpaceNdNhwcTest1<armnn::DataType::QuantisedAsymm8>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcUint2,  BatchToSpaceNdNhwcTest2<armnn::DataType::QuantisedAsymm8>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcUint3,  BatchToSpaceNdNhwcTest3<armnn::DataType::QuantisedAsymm8>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcUint4,  BatchToSpaceNdNhwcTest4<armnn::DataType::QuantisedAsymm8>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcUint5,  BatchToSpaceNdNhwcTest5<armnn::DataType::QuantisedAsymm8>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcUint6,  BatchToSpaceNdNhwcTest6<armnn::DataType::QuantisedAsymm8>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNhwcUint7,  BatchToSpaceNdNhwcTest7<armnn::DataType::QuantisedAsymm8>)
+
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwFloat1, BatchToSpaceNdNchwTest1<armnn::DataType::Float32>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwFloat2, BatchToSpaceNdNchwTest2<armnn::DataType::Float32>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwFloat3, BatchToSpaceNdNchwTest3<armnn::DataType::Float32>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwFloat4, BatchToSpaceNdNchwTest4<armnn::DataType::Float32>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwFloat5, BatchToSpaceNdNchwTest5<armnn::DataType::Float32>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwFloat6, BatchToSpaceNdNchwTest6<armnn::DataType::Float32>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwFloat7, BatchToSpaceNdNchwTest7<armnn::DataType::Float32>)
+
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwUint1,  BatchToSpaceNdNchwTest1<armnn::DataType::QuantisedAsymm8>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwUint2,  BatchToSpaceNdNchwTest2<armnn::DataType::QuantisedAsymm8>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwUint3,  BatchToSpaceNdNchwTest3<armnn::DataType::QuantisedAsymm8>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwUint4,  BatchToSpaceNdNchwTest4<armnn::DataType::QuantisedAsymm8>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwUint5,  BatchToSpaceNdNchwTest5<armnn::DataType::QuantisedAsymm8>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwUint6,  BatchToSpaceNdNchwTest6<armnn::DataType::QuantisedAsymm8>)
+ARMNN_AUTO_TEST_CASE(BatchToSpaceNdNchwUint7,  BatchToSpaceNdNchwTest7<armnn::DataType::QuantisedAsymm8>)
+
+// SpaceToDepth
 ARMNN_AUTO_TEST_CASE(SpaceToDepthNCHWAsymmQ8, SpaceToDepthNCHWAsymmQ8Test)
 ARMNN_AUTO_TEST_CASE(SpaceToDepthNHWCAsymmQ8, SpaceToDepthNHWCAsymmQ8Test)