diff options
Diffstat (limited to 'src/backends/backendsCommon/test/SpaceToBatchNdTestImpl.hpp')
| -rw-r--r-- | src/backends/backendsCommon/test/SpaceToBatchNdTestImpl.hpp | 40 |
1 files changed, 20 insertions, 20 deletions
diff --git a/src/backends/backendsCommon/test/SpaceToBatchNdTestImpl.hpp b/src/backends/backendsCommon/test/SpaceToBatchNdTestImpl.hpp index 814607ddff..756a51cad3 100644 --- a/src/backends/backendsCommon/test/SpaceToBatchNdTestImpl.hpp +++ b/src/backends/backendsCommon/test/SpaceToBatchNdTestImpl.hpp @@ -79,7 +79,7 @@ LayerTestResult<T, 4> SpaceToBatchNdTestImpl( return ret; } -template <typename T> +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> LayerTestResult<T, 4> SpaceToBatchNdSimpleTest( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, @@ -96,8 +96,8 @@ LayerTestResult<T, 4> SpaceToBatchNdSimpleTest( desc.m_Parameters.m_BlockShape = {2, 2}; desc.m_Parameters.m_PadList = {{0, 0}, {0, 0}}; - inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::GetDataType<T>()); - outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::GetDataType<T>()); + inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); + outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); std::vector<float> input = std::vector<float>( { @@ -113,7 +113,7 @@ LayerTestResult<T, 4> SpaceToBatchNdSimpleTest( workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); } -template <typename T> +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> LayerTestResult<T, 4> SpaceToBatchNdMultiChannelsTest( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, @@ -130,8 +130,8 @@ LayerTestResult<T, 4> SpaceToBatchNdMultiChannelsTest( desc.m_Parameters.m_BlockShape = {2, 2}; desc.m_Parameters.m_PadList = {{0, 0}, {0, 0}}; - inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::GetDataType<T>()); - outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::GetDataType<T>()); + inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); + outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); std::vector<float> input = std::vector<float>( { @@ -152,7 +152,7 @@ LayerTestResult<T, 4> SpaceToBatchNdMultiChannelsTest( workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); } -template <typename T> +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> LayerTestResult<T, 4> SpaceToBatchNdMultiBlockTest( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, @@ -169,8 +169,8 @@ LayerTestResult<T, 4> SpaceToBatchNdMultiBlockTest( desc.m_Parameters.m_BlockShape = {2, 2}; desc.m_Parameters.m_PadList = {{0, 0}, {0, 0}}; - inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::GetDataType<T>()); - outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::GetDataType<T>()); + inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); + outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); std::vector<float> input = std::vector<float>( { @@ -192,7 +192,7 @@ LayerTestResult<T, 4> SpaceToBatchNdMultiBlockTest( workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); } -template <typename T> +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> LayerTestResult<T, 4> SpaceToBatchNdPaddingTest( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, @@ -209,8 +209,8 @@ LayerTestResult<T, 4> SpaceToBatchNdPaddingTest( desc.m_Parameters.m_BlockShape = {2, 2}; desc.m_Parameters.m_PadList = {{0, 0}, {2, 0}}; - inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::GetDataType<T>()); - outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::GetDataType<T>()); + inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); + outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); std::vector<float> input = std::vector<float>( { @@ -236,34 +236,34 @@ LayerTestResult<T, 4> SpaceToBatchNdPaddingTest( workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); } -template <typename T> +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> LayerTestResult<T, 4> SpaceToBatchNdSimpleNHWCTest( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) { - return SpaceToBatchNdSimpleTest<T>(workloadFactory, memoryManager, armnn::DataLayout::NHWC); + return SpaceToBatchNdSimpleTest<ArmnnType>(workloadFactory, memoryManager, armnn::DataLayout::NHWC); } -template <typename T> +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> LayerTestResult<T, 4> SpaceToBatchNdMultiChannelsNHWCTest( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) { - return SpaceToBatchNdMultiChannelsTest<T>(workloadFactory, memoryManager, armnn::DataLayout::NHWC); + return SpaceToBatchNdMultiChannelsTest<ArmnnType>(workloadFactory, memoryManager, armnn::DataLayout::NHWC); } -template <typename T> +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> LayerTestResult<T, 4> SpaceToBatchNdMultiBlockNHWCTest( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) { - return SpaceToBatchNdMultiBlockTest<T>(workloadFactory, memoryManager, armnn::DataLayout::NHWC); + return SpaceToBatchNdMultiBlockTest<ArmnnType>(workloadFactory, memoryManager, armnn::DataLayout::NHWC); } -template <typename T> +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> LayerTestResult<T, 4> SpaceToBatchNdPaddingNHWCTest( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) { - return SpaceToBatchNdPaddingTest<T>(workloadFactory, memoryManager, armnn::DataLayout::NHWC); + return SpaceToBatchNdPaddingTest<ArmnnType>(workloadFactory, memoryManager, armnn::DataLayout::NHWC); } |