aboutsummaryrefslogtreecommitdiff
path: root/src/backends/neon/test/NeonCreateWorkloadTests.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/backends/neon/test/NeonCreateWorkloadTests.cpp')
-rw-r--r--src/backends/neon/test/NeonCreateWorkloadTests.cpp30
1 files changed, 30 insertions, 0 deletions
diff --git a/src/backends/neon/test/NeonCreateWorkloadTests.cpp b/src/backends/neon/test/NeonCreateWorkloadTests.cpp
index 643ecd5a4f..6a4f612881 100644
--- a/src/backends/neon/test/NeonCreateWorkloadTests.cpp
+++ b/src/backends/neon/test/NeonCreateWorkloadTests.cpp
@@ -181,6 +181,36 @@ BOOST_AUTO_TEST_CASE(CreateMultiplicationUint8Workload)
DataType::QuantisedAsymm8>();
}
+template <typename WorkloadType,
+ typename DescriptorType,
+ typename LayerType,
+ armnn::DataType DataType>
+static void NeonCreateElementwiseUnaryWorkloadTest()
+{
+ Graph graph;
+ NeonWorkloadFactory factory =
+ NeonWorkloadFactoryHelper::GetFactory(NeonWorkloadFactoryHelper::GetMemoryManager());
+
+ auto workload = CreateElementwiseUnaryWorkloadTest
+ <WorkloadType, DescriptorType, LayerType, DataType>(factory, graph);
+
+ DescriptorType queueDescriptor = workload->GetData();
+
+ auto inputHandle = boost::polymorphic_downcast<IAclTensorHandle*>(queueDescriptor.m_Inputs[0]);
+ auto outputHandle = boost::polymorphic_downcast<IAclTensorHandle*>(queueDescriptor.m_Outputs[0]);
+
+ BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({2, 3}, DataType)));
+ BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({2, 3}, DataType)));
+}
+
+BOOST_AUTO_TEST_CASE(CreateRsqrtFloat32Workload)
+{
+ NeonCreateElementwiseUnaryWorkloadTest<NeonRsqrtWorkload,
+ RsqrtQueueDescriptor,
+ RsqrtLayer,
+ DataType::Float32>();
+}
+
template <typename BatchNormalizationWorkloadType, typename armnn::DataType DataType>
static void NeonCreateBatchNormalizationWorkloadTest(DataLayout dataLayout)
{