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| author | Nattapat Chaimanowong <nattapat.chaimanowong@arm.com> | 2019-01-22 16:10:44 +0000 |
|---|---|---|
| committer | Nattapat Chaimanowong <nattapat.chaimanowong@arm.com> | 2019-01-22 16:10:44 +0000 |
| commit | 649dd9515ddf4bd00a0bff64d51dfd835a6c7b39 (patch) | |
| tree | c938bc8eb11dd24223c0cb00a57d4372a907b943 /src/backends/backendsCommon/test/DebugTestImpl.hpp | |
| parent | 382e21ce95c04479a6900afca81a57949b369f1e (diff) | |
| download | armnn-649dd9515ddf4bd00a0bff64d51dfd835a6c7b39.tar.gz | |
IVGCVSW-2467 Remove GetDataType<T> function
Change-Id: I7359617a307b9abb4c30b3d5f2364dc6d0f828f0
Diffstat (limited to 'src/backends/backendsCommon/test/DebugTestImpl.hpp')
| -rw-r--r-- | src/backends/backendsCommon/test/DebugTestImpl.hpp | 24 |
1 files changed, 12 insertions, 12 deletions
diff --git a/src/backends/backendsCommon/test/DebugTestImpl.hpp b/src/backends/backendsCommon/test/DebugTestImpl.hpp index d112054198..14808f4856 100644 --- a/src/backends/backendsCommon/test/DebugTestImpl.hpp +++ b/src/backends/backendsCommon/test/DebugTestImpl.hpp @@ -80,7 +80,7 @@ LayerTestResult<T, Dim> DebugTestImpl( return ret; } -template <typename T> +template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> LayerTestResult<T, 4> Debug4DTest( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) @@ -95,8 +95,8 @@ LayerTestResult<T, 4> Debug4DTest( desc.m_Parameters.m_LayerName = "TestOutput"; desc.m_Parameters.m_SlotIndex = 1; - 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>( { @@ -131,7 +131,7 @@ LayerTestResult<T, 4> Debug4DTest( expectedStringOutput); } -template <typename T> +template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> LayerTestResult<T, 3> Debug3DTest( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) @@ -145,8 +145,8 @@ LayerTestResult<T, 3> Debug3DTest( armnn::DebugQueueDescriptor desc; desc.m_Parameters.m_LayerName = "TestOutput"; - inputTensorInfo = armnn::TensorInfo(3, inputShape, armnn::GetDataType<T>()); - outputTensorInfo = armnn::TensorInfo(3, outputShape, armnn::GetDataType<T>()); + inputTensorInfo = armnn::TensorInfo(3, inputShape, ArmnnType); + outputTensorInfo = armnn::TensorInfo(3, outputShape, ArmnnType); std::vector<float> input = std::vector<float>( { @@ -179,7 +179,7 @@ LayerTestResult<T, 3> Debug3DTest( expectedStringOutput); } -template <typename T> +template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> LayerTestResult<T, 2> Debug2DTest( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) @@ -193,8 +193,8 @@ LayerTestResult<T, 2> Debug2DTest( armnn::DebugQueueDescriptor desc; desc.m_Parameters.m_LayerName = "TestOutput"; - inputTensorInfo = armnn::TensorInfo(2, inputShape, armnn::GetDataType<T>()); - outputTensorInfo = armnn::TensorInfo(2, outputShape, armnn::GetDataType<T>()); + inputTensorInfo = armnn::TensorInfo(2, inputShape, ArmnnType); + outputTensorInfo = armnn::TensorInfo(2, outputShape, ArmnnType); std::vector<float> input = std::vector<float>( { @@ -225,7 +225,7 @@ LayerTestResult<T, 2> Debug2DTest( expectedStringOutput); } -template <typename T> +template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> LayerTestResult<T, 1> Debug1DTest( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) @@ -239,8 +239,8 @@ LayerTestResult<T, 1> Debug1DTest( armnn::DebugQueueDescriptor desc; desc.m_Parameters.m_LayerName = "TestOutput"; - inputTensorInfo = armnn::TensorInfo(1, inputShape, armnn::GetDataType<T>()); - outputTensorInfo = armnn::TensorInfo(1, outputShape, armnn::GetDataType<T>()); + inputTensorInfo = armnn::TensorInfo(1, inputShape, ArmnnType); + outputTensorInfo = armnn::TensorInfo(1, outputShape, ArmnnType); std::vector<float> input = std::vector<float>( { |