From 611c7fb97412230d5cefee047081455fb60db06c Mon Sep 17 00:00:00 2001 From: Teresa Charlin Date: Fri, 7 Jan 2022 09:47:29 +0000 Subject: IVGCVSW-6641 Stabilize the IWorkloadFactory interface with unified strategy Signed-off-by: Teresa Charlin Change-Id: Ia941be9bf2c15fe56e49a9b9a2bbe943a8152438 --- .../test/layerTests/ActivationTestImpl.cpp | 21 ++++++++++++++------- 1 file changed, 14 insertions(+), 7 deletions(-) (limited to 'src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp') diff --git a/src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp index 57687051b6..ea9973b7d3 100644 --- a/src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/ActivationTestImpl.cpp @@ -71,7 +71,8 @@ LayerTestResult BoundedReLuTestCommon( descriptor.m_Parameters.m_A = upperBound; descriptor.m_Parameters.m_B = lowerBound; - std::unique_ptr workload = workloadFactory.CreateActivation(descriptor, workloadInfo); + std::unique_ptr workload = workloadFactory.CreateWorkload(armnn::LayerType::Activation, + descriptor, workloadInfo); inputHandle->Allocate(); outputHandle->Allocate(); @@ -269,7 +270,8 @@ std::vector BoundedReLuRandomInputTest( AddOutputToWorkload(descriptor, workloadInfo, outputTensorInfo, outputHandle.get()); descriptor.m_Parameters = activationDescriptor; - std::unique_ptr workload = workloadFactory.CreateActivation(descriptor, workloadInfo); + std::unique_ptr workload = workloadFactory.CreateWorkload(armnn::LayerType::Activation, + descriptor, workloadInfo); inputHandle->Allocate(); outputHandle->Allocate(); @@ -352,7 +354,8 @@ LayerTestResult ConstantLinearActivationTestCommon( data.m_Parameters.m_B = 0.0f; data.m_Parameters.m_Function = armnn::ActivationFunction::Linear; - std::unique_ptr workload = workloadFactory.CreateActivation(data, info); + std::unique_ptr workload = workloadFactory.CreateWorkload(armnn::LayerType::Activation, + data, info); inputHandle->Allocate(); outputHandle->Allocate(); @@ -458,7 +461,8 @@ LayerTestResult SimpleActivationTest( descriptor.m_Parameters.m_A = activationParameterA; descriptor.m_Parameters.m_B = activationParameterB; - std::unique_ptr workload = workloadFactory.CreateActivation(descriptor, workloadInfo); + std::unique_ptr workload = workloadFactory.CreateWorkload(armnn::LayerType::Activation, + descriptor, workloadInfo); inputHandle->Allocate(); outputHandle->Allocate(); @@ -875,7 +879,8 @@ LayerTestResult SqrtNNTest( descriptor.m_Parameters.m_Function = armnn::ActivationFunction::Sqrt; - std::unique_ptr workload = workloadFactory.CreateActivation(descriptor, workloadInfo); + std::unique_ptr workload = workloadFactory.CreateWorkload(armnn::LayerType::Activation, + descriptor, workloadInfo); inputHandle->Allocate(); outputHandle->Allocate(); @@ -1278,9 +1283,11 @@ LayerTestResult CompareActivationTestImpl( SetWorkloadInput(refData, refInfo, 0, inputTensorInfo, inputHandleRef.get()); SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); - std::unique_ptr workload = workloadFactory.CreateActivation(data, info); + std::unique_ptr workload = workloadFactory.CreateWorkload(armnn::LayerType::Activation, + data, info); ARMNN_ASSERT(workload != nullptr); - std::unique_ptr workloadRef = refWorkloadFactory.CreateActivation(refData, refInfo); + std::unique_ptr workloadRef = refWorkloadFactory.CreateWorkload(armnn::LayerType::Activation, + refData, refInfo); ARMNN_ASSERT(workloadRef != nullptr); inputHandle->Allocate(); -- cgit v1.2.1