diff options
Diffstat (limited to 'src/backends/reference/test/RefCreateWorkloadTests.cpp')
| -rw-r--r-- | src/backends/reference/test/RefCreateWorkloadTests.cpp | 31 |
1 files changed, 25 insertions, 6 deletions
diff --git a/src/backends/reference/test/RefCreateWorkloadTests.cpp b/src/backends/reference/test/RefCreateWorkloadTests.cpp index 236267c177..1ec7749168 100644 --- a/src/backends/reference/test/RefCreateWorkloadTests.cpp +++ b/src/backends/reference/test/RefCreateWorkloadTests.cpp @@ -231,21 +231,40 @@ BOOST_AUTO_TEST_CASE(CreateFullyConnectedUint8Workload) } template <typename NormalizationWorkloadType, armnn::DataType DataType> -static void RefCreateNormalizationWorkloadTest() +static void RefCreateNormalizationWorkloadTest(DataLayout dataLayout) { Graph graph; RefWorkloadFactory factory; - auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType>(factory, graph); + auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType>(factory, graph, dataLayout); + + TensorShape inputShape; + TensorShape outputShape; + + switch (dataLayout) + { + case DataLayout::NHWC: + inputShape = { 3, 1, 5, 5 }; + outputShape = { 3, 1, 5, 5 }; + break; + case DataLayout::NCHW: + default: + inputShape = { 3, 5, 5, 1 }; + outputShape = { 3, 5, 5, 1 }; + break; + } // Checks that outputs and inputs are as we expect them (see definition of CreateNormalizationWorkloadTest). - CheckInputOutput(std::move(workload), - TensorInfo({3, 5, 5, 1}, DataType), - TensorInfo({3, 5, 5, 1}, DataType)); + CheckInputOutput(std::move(workload), TensorInfo(inputShape, DataType), TensorInfo(outputShape, DataType)); } BOOST_AUTO_TEST_CASE(CreateRefNormalizationNchwWorkload) { - RefCreateNormalizationWorkloadTest<RefNormalizationFloat32Workload, armnn::DataType::Float32>(); + RefCreateNormalizationWorkloadTest<RefNormalizationFloat32Workload, armnn::DataType::Float32>(DataLayout::NCHW); +} + +BOOST_AUTO_TEST_CASE(CreateRefNormalizationNhwcWorkload) +{ + RefCreateNormalizationWorkloadTest<RefNormalizationFloat32Workload, armnn::DataType::Float32>(DataLayout::NHWC); } template <typename Pooling2dWorkloadType, armnn::DataType DataType> |