diff options
Diffstat (limited to 'src/backends/neon/test/NeonCreateWorkloadTests.cpp')
| -rw-r--r-- | src/backends/neon/test/NeonCreateWorkloadTests.cpp | 43 |
1 files changed, 43 insertions, 0 deletions
diff --git a/src/backends/neon/test/NeonCreateWorkloadTests.cpp b/src/backends/neon/test/NeonCreateWorkloadTests.cpp index 320ea69c95..19b520d1e9 100644 --- a/src/backends/neon/test/NeonCreateWorkloadTests.cpp +++ b/src/backends/neon/test/NeonCreateWorkloadTests.cpp @@ -416,6 +416,49 @@ BOOST_AUTO_TEST_CASE(CreatePooling2dUint8NhwcWorkload) NeonCreatePooling2dWorkloadTest<DataType::QuantisedAsymm8>(DataLayout::NHWC); } +static void NeonCreatePreluWorkloadTest(const armnn::TensorShape& inputShape, + const armnn::TensorShape& alphaShape, + const armnn::TensorShape& outputShape, + armnn::DataType dataType) +{ + Graph graph; + NeonWorkloadFactory factory = + NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); + + auto workload = CreatePreluWorkloadTest<NeonPreluWorkload>(factory, + graph, + inputShape, + alphaShape, + outputShape, + dataType); + + // Checks that outputs and inputs are as we expect them (see definition of CreateReshapeWorkloadTest). + PreluQueueDescriptor queueDescriptor = workload->GetData(); + auto inputHandle = boost::polymorphic_downcast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); + auto alphaHandle = boost::polymorphic_downcast<IAclTensorHandle*>(queueDescriptor.m_Inputs[1]); + auto outputHandle = boost::polymorphic_downcast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); + BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, dataType))); + BOOST_TEST(TestNeonTensorHandleInfo(alphaHandle, TensorInfo(alphaShape, dataType))); + BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, dataType))); +} + +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC + BOOST_AUTO_TEST_CASE(CreatePreluFloat16Workload) +{ + NeonCreatePreluWorkloadTest({ 1, 4, 1, 2 }, { 5, 4, 3, 1 }, { 5, 4, 3, 2 }, DataType::Float16); +} +#endif + +BOOST_AUTO_TEST_CASE(CreatePreluFloatWorkload) +{ + NeonCreatePreluWorkloadTest({ 1, 4, 1, 2 }, { 5, 4, 3, 1 }, { 5, 4, 3, 2 }, DataType::Float32); +} + +BOOST_AUTO_TEST_CASE(CreatePreluUint8Workload) +{ + NeonCreatePreluWorkloadTest({ 1, 4, 1, 2 }, { 5, 4, 3, 1 }, { 5, 4, 3, 2 }, DataType::QuantisedAsymm8); +} + template <typename armnn::DataType DataType> static void NeonCreateReshapeWorkloadTest() { |