diff options
Diffstat (limited to 'src/backends/neon/test/NeonCreateWorkloadTests.cpp')
| -rw-r--r-- | src/backends/neon/test/NeonCreateWorkloadTests.cpp | 31 |
1 files changed, 23 insertions, 8 deletions
diff --git a/src/backends/neon/test/NeonCreateWorkloadTests.cpp b/src/backends/neon/test/NeonCreateWorkloadTests.cpp index a588a3ecc8..8d5574c6a7 100644 --- a/src/backends/neon/test/NeonCreateWorkloadTests.cpp +++ b/src/backends/neon/test/NeonCreateWorkloadTests.cpp @@ -153,30 +153,45 @@ BOOST_AUTO_TEST_CASE(CreateMultiplicationFloatWorkload) } template <typename BatchNormalizationWorkloadType, typename armnn::DataType DataType> -static void NeonCreateBatchNormalizationWorkloadTest() +static void NeonCreateBatchNormalizationWorkloadTest(DataLayout dataLayout) { Graph graph; NeonWorkloadFactory factory; - auto workload = CreateBatchNormalizationWorkloadTest<BatchNormalizationWorkloadType, DataType>(factory, graph); + auto workload = CreateBatchNormalizationWorkloadTest<BatchNormalizationWorkloadType, DataType> + (factory, graph, dataLayout); // Checks that outputs and inputs are as we expect them (see definition of CreateBatchNormalizationWorkloadTest). BatchNormalizationQueueDescriptor 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({2, 3, 1, 1}, DataType))); - BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({2, 3, 1, 1}, DataType))); + + TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{2, 3, 4, 4} : TensorShape{2, 4, 4, 3}; + TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{2, 3, 4, 4} : TensorShape{2, 4, 4, 3}; + + BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); + BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); } #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16Workload) +BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16NchwWorkload) +{ + NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationFloatWorkload, DataType::Float16>(DataLayout::NCHW); +} + +BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16NhwcWorkload) { - NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationFloatWorkload, DataType::Float16>(); + NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationFloatWorkload, DataType::Float16>(DataLayout::NHWC); } #endif -BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatWorkload) +BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatNchwWorkload) +{ + NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationFloatWorkload, DataType::Float32>(DataLayout::NCHW); +} + +BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatNhwcWorkload) { - NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationFloatWorkload, DataType::Float32>(); + NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationFloatWorkload, DataType::Float32>(DataLayout::NHWC); } template <typename armnn::DataType DataType> |