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author | Matteo Martincigh <matteo.martincigh@arm.com> | 2018-10-18 10:55:19 +0100 |
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committer | Matthew Bentham <matthew.bentham@arm.com> | 2018-10-22 16:57:54 +0100 |
commit | 3dc4303c94cf3f5976e495233f663ff56089e53a (patch) | |
tree | e70c15cf1206576a81a02dfa3b66b3b09f88942a /src/backends/reference/test/RefCreateWorkloadTests.cpp | |
parent | a160b245a5c876d3630651e938a7c45ee30645be (diff) | |
download | armnn-3dc4303c94cf3f5976e495233f663ff56089e53a.tar.gz |
IVGCVSW-2040 Add unit tests for the newly implemented NHWC support in
ref BatchNormalization
* Added create workload unit tests for the NHWC data layout
Change-Id: I03d66c88dc9b0340302b85012cb0152f0ec6fa72
Diffstat (limited to 'src/backends/reference/test/RefCreateWorkloadTests.cpp')
-rw-r--r-- | src/backends/reference/test/RefCreateWorkloadTests.cpp | 52 |
1 files changed, 46 insertions, 6 deletions
diff --git a/src/backends/reference/test/RefCreateWorkloadTests.cpp b/src/backends/reference/test/RefCreateWorkloadTests.cpp index 1ec7749168..d258b81932 100644 --- a/src/backends/reference/test/RefCreateWorkloadTests.cpp +++ b/src/backends/reference/test/RefCreateWorkloadTests.cpp @@ -143,16 +143,56 @@ BOOST_AUTO_TEST_CASE(CreateDivisionUint8Workload) armnn::DataType::QuantisedAsymm8>(); } -BOOST_AUTO_TEST_CASE(CreateBatchNormalizationWorkload) +template <typename BatchNormalizationWorkloadType, armnn::DataType DataType> +static void RefCreateBatchNormalizationWorkloadTest(DataLayout dataLayout) { - Graph graph; + Graph graph; RefWorkloadFactory factory; - auto workload = CreateBatchNormalizationWorkloadTest<RefBatchNormalizationFloat32Workload, armnn::DataType::Float32> - (factory, graph); + auto workload = + CreateBatchNormalizationWorkloadTest<BatchNormalizationWorkloadType, DataType>(factory, graph, dataLayout); + + TensorShape inputShape; + TensorShape outputShape; + + switch (dataLayout) + { + case DataLayout::NHWC: + inputShape = { 2, 1, 1, 3 }; + outputShape = { 2, 1, 1, 3 }; + break; + case DataLayout::NCHW: + default: + inputShape = { 2, 3, 1, 1 }; + outputShape = { 2, 3, 1, 1 }; + break; + } // Checks that outputs and inputs are as we expect them (see definition of CreateBatchNormalizationWorkloadTest). - CheckInputOutput( - std::move(workload), TensorInfo({2, 3, 1, 1}, DataType::Float32), TensorInfo({2, 3, 1, 1}, DataType::Float32)); + CheckInputOutput(std::move(workload), TensorInfo(inputShape, DataType), TensorInfo(outputShape, DataType)); +} + +BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat32Workload) +{ + RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationFloat32Workload,armnn::DataType::Float32> + (DataLayout::NCHW); +} + +BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat32WorkloadNhwc) +{ + RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationFloat32Workload, armnn::DataType::Float32> + (DataLayout::NHWC); +} + +BOOST_AUTO_TEST_CASE(CreateBatchNormalizationUint8Workload) +{ + RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationUint8Workload, armnn::DataType::QuantisedAsymm8> + (DataLayout::NCHW); +} + +BOOST_AUTO_TEST_CASE(CreateBatchNormalizationUint8WorkloadNhwc) +{ + RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationUint8Workload, armnn::DataType::QuantisedAsymm8> + (DataLayout::NHWC); } BOOST_AUTO_TEST_CASE(CreateConvertFp16ToFp32Float32Workload) |