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Diffstat (limited to 'src/armnn/test/CreateWorkload.hpp')
| -rw-r--r-- | src/armnn/test/CreateWorkload.hpp | 33 |
1 files changed, 33 insertions, 0 deletions
diff --git a/src/armnn/test/CreateWorkload.hpp b/src/armnn/test/CreateWorkload.hpp index 8863fecce3..b075744434 100644 --- a/src/armnn/test/CreateWorkload.hpp +++ b/src/armnn/test/CreateWorkload.hpp @@ -1280,4 +1280,37 @@ std::unique_ptr<ConstantWorkload> CreateConstantWorkloadTest(armnn::IWorkloadFac return workloadConstant; } +template <typename PreluWorkload, armnn::DataType DataType> +std::unique_ptr<PreluWorkload> CreatePreluWorkloadTest(armnn::IWorkloadFactory& factory, + armnn::Graph& graph, + const armnn::TensorShape& outputShape) +{ + // Creates the PReLU layer + Layer* const layer = graph.AddLayer<PreluLayer>("prelu"); + + // Creates extra layers + Layer* const input = graph.AddLayer<InputLayer> (0, "input"); + Layer* const alpha = graph.AddLayer<InputLayer> (1, "alpha"); + Layer* const output = graph.AddLayer<OutputLayer>(0, "output"); + + // Connects up + armnn::TensorInfo inputTensorInfo ({ 1, 4, 1, 2 }, DataType); + armnn::TensorInfo alphaTensorInfo ({ 5, 4, 3, 1 }, DataType); + armnn::TensorInfo outputTensorInfo(outputShape, DataType); + Connect(input, layer, inputTensorInfo, 0, 0); + Connect(alpha, layer, alphaTensorInfo, 0, 1); + Connect(layer, output, outputTensorInfo, 0, 0); + CreateTensorHandles(graph, factory); + + // Makes the workload and checks it + auto workload = MakeAndCheckWorkload<PreluWorkload>(*layer, graph, factory); + + PreluQueueDescriptor queueDescriptor = workload->GetData(); + BOOST_TEST(queueDescriptor.m_Inputs.size() == 2); + BOOST_TEST(queueDescriptor.m_Outputs.size() == 1); + + // Returns so we can do extra, backend-specific tests. + return workload; } + +} // Anonymous namespace |