diff options
Diffstat (limited to 'src/backends/neon/test/NeonCreateWorkloadTests.cpp')
| -rw-r--r-- | src/backends/neon/test/NeonCreateWorkloadTests.cpp | 52 |
1 files changed, 52 insertions, 0 deletions
diff --git a/src/backends/neon/test/NeonCreateWorkloadTests.cpp b/src/backends/neon/test/NeonCreateWorkloadTests.cpp index 49c5a72a90..ac7eb253c2 100644 --- a/src/backends/neon/test/NeonCreateWorkloadTests.cpp +++ b/src/backends/neon/test/NeonCreateWorkloadTests.cpp @@ -19,6 +19,12 @@ BOOST_AUTO_TEST_SUITE(CreateWorkloadNeon) namespace { +boost::test_tools::predicate_result CompareIAclTensorHandleShape(IAclTensorHandle* tensorHandle, + std::initializer_list<unsigned int> expectedDimensions) +{ + return CompareTensorHandleShape<IAclTensorHandle>(tensorHandle, expectedDimensions); +} + bool TestNeonTensorHandleInfo(armnn::IAclTensorHandle* handle, const armnn::TensorInfo& expectedInfo) { using namespace armnn::armcomputetensorutils; @@ -493,6 +499,52 @@ BOOST_AUTO_TEST_CASE(CreateReshapeUint8Workload) NeonCreateReshapeWorkloadTest<DataType::QuantisedAsymm8>(); } +template <typename ResizeWorkloadType, armnn::DataType DataType> +static void NeonCreateResizeWorkloadTest(DataLayout dataLayout) +{ + Graph graph; + NeonWorkloadFactory factory = + NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager()); + auto workload = CreateResizeBilinearWorkloadTest<ResizeWorkloadType, DataType>(factory, graph, dataLayout); + + auto queueDescriptor = workload->GetData(); + + auto inputHandle = boost::polymorphic_downcast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]); + auto outputHandle = boost::polymorphic_downcast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]); + + switch (dataLayout) + { + case DataLayout::NHWC: + BOOST_TEST(CompareIAclTensorHandleShape(inputHandle, { 2, 4, 4, 3 })); + BOOST_TEST(CompareIAclTensorHandleShape(outputHandle, { 2, 2, 2, 3 })); + break; + case DataLayout::NCHW: + default: + BOOST_TEST(CompareIAclTensorHandleShape(inputHandle, { 2, 3, 4, 4 })); + BOOST_TEST(CompareIAclTensorHandleShape(outputHandle, { 2, 3, 2, 2 })); + } +} + +BOOST_AUTO_TEST_CASE(CreateResizeFloat32NchwWorkload) +{ + NeonCreateResizeWorkloadTest<NeonResizeWorkload, armnn::DataType::Float32>(DataLayout::NCHW); +} + +BOOST_AUTO_TEST_CASE(CreateResizeUint8NchwWorkload) +{ + NeonCreateResizeWorkloadTest<NeonResizeWorkload, armnn::DataType::QuantisedAsymm8>(DataLayout::NCHW); +} + +BOOST_AUTO_TEST_CASE(CreateResizeFloat32NhwcWorkload) +{ + NeonCreateResizeWorkloadTest<NeonResizeWorkload, armnn::DataType::Float32>(DataLayout::NHWC); +} + +BOOST_AUTO_TEST_CASE(CreateResizeUint8NhwcWorkload) +{ + NeonCreateResizeWorkloadTest<NeonResizeWorkload, armnn::DataType::QuantisedAsymm8>(DataLayout::NHWC); +} + template <typename SoftmaxWorkloadType, typename armnn::DataType DataType> static void NeonCreateSoftmaxWorkloadTest() { |