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-rw-r--r--src/armnn/test/CreateWorkload.hpp29
1 files changed, 15 insertions, 14 deletions
diff --git a/src/armnn/test/CreateWorkload.hpp b/src/armnn/test/CreateWorkload.hpp
index 0048646d45..774df6a4bb 100644
--- a/src/armnn/test/CreateWorkload.hpp
+++ b/src/armnn/test/CreateWorkload.hpp
@@ -836,10 +836,10 @@ void CreateSplitterMultipleInputsOneOutputWorkloadTest(armnn::IWorkloadFactory&
wlActiv1_1 = std::move(workloadActiv1_1);
}
-template <typename ResizeBilinearWorkload, armnn::DataType DataType>
-std::unique_ptr<ResizeBilinearWorkload> CreateResizeBilinearWorkloadTest(armnn::IWorkloadFactory& factory,
- armnn::Graph& graph,
- DataLayout dataLayout = DataLayout::NCHW)
+template <typename ResizeWorkload, armnn::DataType DataType>
+std::unique_ptr<ResizeWorkload> CreateResizeBilinearWorkloadTest(armnn::IWorkloadFactory& factory,
+ armnn::Graph& graph,
+ DataLayout dataLayout = DataLayout::NCHW)
{
TensorShape inputShape;
TensorShape outputShape;
@@ -856,15 +856,16 @@ std::unique_ptr<ResizeBilinearWorkload> CreateResizeBilinearWorkloadTest(armnn::
}
// Creates the layer we're testing.
- ResizeBilinearDescriptor resizeDesc;
+ ResizeDescriptor resizeDesc;
armnnUtils::DataLayoutIndexed dimensionIndices = dataLayout;
- resizeDesc.m_TargetWidth = outputShape[dimensionIndices.GetWidthIndex()];
+ resizeDesc.m_Method = ResizeMethod::Bilinear;
+ resizeDesc.m_TargetWidth = outputShape[dimensionIndices.GetWidthIndex()];
resizeDesc.m_TargetHeight = outputShape[dimensionIndices.GetHeightIndex()];
- resizeDesc.m_DataLayout = dataLayout;
- Layer* const layer = graph.AddLayer<ResizeBilinearLayer>(resizeDesc, "layer");
+ resizeDesc.m_DataLayout = dataLayout;
+ Layer* const layer = graph.AddLayer<ResizeLayer>(resizeDesc, "resize");
// Creates extra layers.
- Layer* const input = graph.AddLayer<InputLayer>(0, "input");
+ Layer* const input = graph.AddLayer<InputLayer>(0, "input");
Layer* const output = graph.AddLayer<OutputLayer>(0, "output");
// Connects up.
@@ -875,12 +876,12 @@ std::unique_ptr<ResizeBilinearWorkload> CreateResizeBilinearWorkloadTest(armnn::
CreateTensorHandles(graph, factory);
// Makes the workload and checks it.
- auto workload = MakeAndCheckWorkload<ResizeBilinearWorkload>(*layer, graph, factory);
+ auto workload = MakeAndCheckWorkload<ResizeWorkload>(*layer, graph, factory);
- ResizeBilinearQueueDescriptor queueDescriptor = workload->GetData();
- BOOST_TEST(queueDescriptor.m_Inputs.size() == 1);
- BOOST_TEST(queueDescriptor.m_Outputs.size() == 1);
- BOOST_TEST((queueDescriptor.m_Parameters.m_DataLayout == dataLayout));
+ auto queueDescriptor = workload->GetData();
+ BOOST_CHECK(queueDescriptor.m_Inputs.size() == 1);
+ BOOST_CHECK(queueDescriptor.m_Outputs.size() == 1);
+ BOOST_CHECK(queueDescriptor.m_Parameters.m_DataLayout == dataLayout);
// Returns so we can do extra, backend-specific tests.
return workload;