diff options
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp')
| -rw-r--r-- | src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp | 44 |
1 files changed, 31 insertions, 13 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp index 0982d01e2e..33dfc23b7d 100644 --- a/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/Conv2dTestImpl.cpp @@ -344,7 +344,9 @@ LayerTestResult<T, 4> SimpleConvolution2dTestImpl( data.m_Parameters.m_DilationX = dilationX; data.m_Parameters.m_DilationY = dilationY; - std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConvolution2d(data, info); + std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateWorkload(armnn::LayerType::Convolution2d, + data, + info); inputHandle->Allocate(); outputHandle->Allocate(); @@ -444,7 +446,9 @@ LayerTestResult<O, 4> SimpleConvolution2dNhwcTestImpl( AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); - std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConvolution2d(data, info); + std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateWorkload(armnn::LayerType::Convolution2d, + data, + info); inputHandle->Allocate(); outputHandle->Allocate(); @@ -570,7 +574,9 @@ LayerTestResult<T,4> Convolution1dTestImpl( data.m_Parameters.m_PadBottom = padSize; data.m_Parameters.m_BiasEnabled = biasEnabled; - std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConvolution2d(data, info); + std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateWorkload(armnn::LayerType::Convolution2d, + data, + info); inputHandle->Allocate(); outputHandle->Allocate(); @@ -1388,8 +1394,10 @@ LayerTestResult<T,4> CompareConvolution2dTestImpl( SetWorkloadInput(refData, refInfo, 0, inputTensorInfo, inputHandleRef.get()); SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); - std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateConvolution2d(data, info); - std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateConvolution2d(refData, refInfo); + std::unique_ptr<armnn::IWorkload> workload + = workloadFactory.CreateWorkload(armnn::LayerType::Convolution2d, data, info); + std::unique_ptr<armnn::IWorkload> workloadRef + = refWorkloadFactory.CreateWorkload(armnn::LayerType::Convolution2d, refData, refInfo); outputHandleRef->Allocate(); inputHandleRef->Allocate(); @@ -1756,7 +1764,8 @@ LayerTestResult<T, 4> DepthwiseConvolution2dAsymmetricTestImpl( AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); - std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateDepthwiseConvolution2d(data, info); + std::unique_ptr<armnn::IWorkload> workload + = workloadFactory.CreateWorkload(armnn::LayerType::DepthwiseConvolution2d, data, info); inputHandle->Allocate(); outputHandle->Allocate(); @@ -1905,7 +1914,8 @@ LayerTestResult<T, 4> DepthwiseConvolution2dDepthMul1TestImpl( data.m_Parameters.m_BiasEnabled = biasEnabled; data.m_Parameters.m_DataLayout = layout; - std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateDepthwiseConvolution2d(data, info); + std::unique_ptr<armnn::IWorkload> workload + = workloadFactory.CreateWorkload(armnn::LayerType::DepthwiseConvolution2d, data, info); inputHandle->Allocate(); outputHandle->Allocate(); @@ -2100,7 +2110,8 @@ LayerTestResult<T, 4> DepthwiseConvolution2dTestImpl( data.m_Parameters.m_BiasEnabled = biasEnabled; data.m_Parameters.m_DataLayout = layout; - std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateDepthwiseConvolution2d(data, info); + std::unique_ptr<armnn::IWorkload> workload + = workloadFactory.CreateWorkload(armnn::LayerType::DepthwiseConvolution2d, data, info); inputHandle->Allocate(); outputHandle->Allocate(); @@ -2266,7 +2277,8 @@ LayerTestResult<T, 4> DepthwiseConvolution2dTestImpl( data.m_Parameters.m_DilationX = dilationX; data.m_Parameters.m_DilationY = dilationY; - std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateDepthwiseConvolution2d(data, info); + std::unique_ptr<armnn::IWorkload> workload + = workloadFactory.CreateWorkload(armnn::LayerType::DepthwiseConvolution2d, data, info); inputHandle->Allocate(); outputHandle->Allocate(); @@ -2989,8 +3001,10 @@ LayerTestResult<T, 4> CompareDepthwiseConvolution2dTestImpl( SetWorkloadInput(refData, refInfo, 0, inputTensorInfo, inputHandleRef.get()); SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); - std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateDepthwiseConvolution2d(data, info); - std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateDepthwiseConvolution2d(refData, refInfo); + std::unique_ptr<armnn::IWorkload> workload + = workloadFactory.CreateWorkload(armnn::LayerType::DepthwiseConvolution2d, data, info); + std::unique_ptr<armnn::IWorkload> workloadRef + = refWorkloadFactory.CreateWorkload(armnn::LayerType::DepthwiseConvolution2d, refData, refInfo); outputHandleRef->Allocate(); inputHandleRef->Allocate(); @@ -3474,7 +3488,9 @@ LayerTestResult<uint8_t, 4> Convolution2dPerAxisQuantTest( AddInputToWorkload(queueDescriptor, workloadInfo, inputInfo, inputHandle.get()); AddOutputToWorkload(queueDescriptor, workloadInfo, outputInfo, outputHandle.get()); - std::unique_ptr<IWorkload> workload = workloadFactory.CreateConvolution2d(queueDescriptor, workloadInfo); + std::unique_ptr<IWorkload> workload= workloadFactory.CreateWorkload(armnn::LayerType::Convolution2d, + queueDescriptor, + workloadInfo); inputHandle->Allocate(); outputHandle->Allocate(); @@ -3740,7 +3756,9 @@ LayerTestResult<uint8_t, 4> DepthwiseConvolution2dPerAxisQuantTest( AddInputToWorkload(queueDescriptor, workloadInfo, inputInfo, inputHandle.get()); AddOutputToWorkload(queueDescriptor, workloadInfo, outputInfo, outputHandle.get()); - std::unique_ptr<IWorkload> workload = workloadFactory.CreateDepthwiseConvolution2d(queueDescriptor, workloadInfo); + std::unique_ptr<IWorkload> workload = workloadFactory.CreateWorkload(armnn::LayerType::DepthwiseConvolution2d, + queueDescriptor, + workloadInfo); inputHandle->Allocate(); outputHandle->Allocate(); |