diff options
Diffstat (limited to 'src/backends/reference')
-rw-r--r-- | src/backends/reference/test/RefEndToEndTests.cpp | 118 |
1 files changed, 118 insertions, 0 deletions
diff --git a/src/backends/reference/test/RefEndToEndTests.cpp b/src/backends/reference/test/RefEndToEndTests.cpp index 885773d5e9..be73116f65 100644 --- a/src/backends/reference/test/RefEndToEndTests.cpp +++ b/src/backends/reference/test/RefEndToEndTests.cpp @@ -10,6 +10,7 @@ #include <backendsCommon/test/GatherEndToEndTestImpl.hpp> #include <backendsCommon/test/ConcatTestImpl.hpp> #include <backendsCommon/test/ArithmeticTestImpl.hpp> +#include <backendsCommon/test/SpaceToDepthEndToEndTestImpl.hpp> #include <backendsCommon/test/SplitterEndToEndTestImpl.hpp> #include <boost/test/unit_test.hpp> @@ -641,6 +642,123 @@ BOOST_AUTO_TEST_CASE(RefDetectionPostProcessFastNmsUint8Test) 1.0f, 1, 0.01f, 0, 0.5f, 0); } +BOOST_AUTO_TEST_CASE(RefSpaceToDepthNHWCEndToEndTest1) +{ + const unsigned int blockSize = 2; + + armnn::TensorShape inputShape{1, 2, 2, 1}; + armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); + + armnn::TensorShape outputShape{1, 1, 1, 4}; + armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); + + std::vector<float> inputData = std::vector<float>( + { + 1.0f, 2.0f, 3.0f, 4.0f + }); + + std::vector<float> expectedOutputData = std::vector<float>( + { + 1.0f, 2.0f, 3.0f, 4.0f + }); + + SpaceToDepthEndToEnd(defaultBackends, + armnn::DataLayout::NHWC, + inputTensorInfo, + outputTensorInfo, + inputData, + expectedOutputData, + blockSize); +} + +BOOST_AUTO_TEST_CASE(RefSpaceToDepthNCHWEndToEndTest1) +{ + const unsigned int blockSize = 2; + + armnn::TensorShape inputShape{1, 2, 2, 1}; + armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); + + armnn::TensorShape outputShape{1, 1, 1, 4}; + armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); + + std::vector<float> inputData = std::vector<float>( + { + 1.0f, 2.0f, 3.0f, 4.0f + }); + + std::vector<float> expectedOutputData = std::vector<float>( + { + 1.0f, 2.0f, 3.0f, 4.0f + }); + + SpaceToDepthEndToEnd(defaultBackends, + armnn::DataLayout::NCHW, + inputTensorInfo, + outputTensorInfo, + inputData, + expectedOutputData, + blockSize); +} + +BOOST_AUTO_TEST_CASE(RefSpaceToDepthNHWCEndToEndTest2) +{ + const unsigned int blockSize = 2; + + armnn::TensorShape inputShape{1, 2, 2, 2}; + armnn::TensorShape outputShape{1, 1, 1, 8}; + + armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); + armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); + + std::vector<float> inputData = std::vector<float>( + { + 1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f + }); + + std::vector<float> expectedOutputData = std::vector<float>( + { + 1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f + }); + + SpaceToDepthEndToEnd(defaultBackends, + armnn::DataLayout::NHWC, + inputTensorInfo, + outputTensorInfo, + inputData, + expectedOutputData, + blockSize); +} + +BOOST_AUTO_TEST_CASE(RefSpaceToDepthNCHWEndToEndTest2) +{ + const unsigned int blockSize = 2; + + armnn::TensorShape inputShape{1, 2, 2, 2}; + armnn::TensorShape outputShape{1, 1, 1, 8}; + + armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); + armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); + + + std::vector<float> inputData = std::vector<float>( + { + 1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f + }); + + std::vector<float> expectedOutputData = std::vector<float>( + { + 1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f + }); + + SpaceToDepthEndToEnd(defaultBackends, + armnn::DataLayout::NCHW, + inputTensorInfo, + outputTensorInfo, + inputData, + expectedOutputData, + blockSize); +} + BOOST_AUTO_TEST_CASE(RefSplitter1dEndToEndTest) { Splitter1dEndToEnd<armnn::DataType::Float32>(defaultBackends); |