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| author | Matteo Martincigh <matteo.martincigh@arm.com> | 2018-09-28 14:14:12 +0100 |
|---|---|---|
| committer | Matthew Bentham <matthew.bentham@arm.com> | 2018-10-10 16:16:57 +0100 |
| commit | bcd3c85b5a7657b38f503676b88a80ae74165acd (patch) | |
| tree | a1f4f934aea17f0faa30f64b9eec0108bbe09ad3 /src/backends/test/CreateWorkloadNeon.cpp | |
| parent | e1fa50c70c647e3ba6dec0eb49ce82a3820fb6bb (diff) | |
| download | armnn-bcd3c85b5a7657b38f503676b88a80ae74165acd.tar.gz | |
IVGCVSW-1863 Support NHWC for L2Normalization
* Added L2NormalizationDescriptor struct with m_DataLyaout member
* Updated all IsL2NormalizationSupported calls to take a descriptor
as an argument
* Updated L2NormalizationLayer to take a descriptor as an argument
!android-nn-driver:150116
Change-Id: I0459352d19cfd269bc864a70cf73910bf44fdc01
Diffstat (limited to 'src/backends/test/CreateWorkloadNeon.cpp')
| -rw-r--r-- | src/backends/test/CreateWorkloadNeon.cpp | 38 |
1 files changed, 38 insertions, 0 deletions
diff --git a/src/backends/test/CreateWorkloadNeon.cpp b/src/backends/test/CreateWorkloadNeon.cpp index 36ad9a4b77..e9fcb56d17 100644 --- a/src/backends/test/CreateWorkloadNeon.cpp +++ b/src/backends/test/CreateWorkloadNeon.cpp @@ -452,4 +452,42 @@ BOOST_AUTO_TEST_CASE(CreateMemCopyWorkloadsNeon) CreateMemCopyWorkloads<INeonTensorHandle>(factory); } +template <typename L2NormalizationWorkloadType, typename armnn::DataType DataType> +static void NeonCreateL2NormalizationWorkloadTest(DataLayout dataLayout) +{ + Graph graph; + NeonWorkloadFactory factory; + auto workload = CreateL2NormalizationWorkloadTest<L2NormalizationWorkloadType, + DataType>(factory, graph, dataLayout); + + // Checks that inputs/outputs are as we expect them (see definition of CreateNormalizationWorkloadTest). + L2NormalizationQueueDescriptor queueDescriptor = workload->GetData(); + auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]); + auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]); + BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({ 5, 20, 50, 67 }, DataType))); + BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({ 5, 20, 50, 67 }, DataType))); +} + +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NchwWorkload) +{ + NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float16>(DataLayout::NCHW); +} + +BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat16NhwcWorkload) +{ + NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float16>(DataLayout::NHWC); +} +#endif + +BOOST_AUTO_TEST_CASE(CreateL2NormalizationNchwWorkload) +{ + NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float32>(DataLayout::NCHW); +} + +BOOST_AUTO_TEST_CASE(CreateL2NormalizationNhwcWorkload) +{ + NeonCreateL2NormalizationWorkloadTest<NeonL2NormalizationFloatWorkload, DataType::Float32>(DataLayout::NHWC); +} + BOOST_AUTO_TEST_SUITE_END() |