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| author | Matteo Martincigh <matteo.martincigh@arm.com> | 2018-10-19 16:40:03 +0100 |
|---|---|---|
| committer | Matthew Bentham <matthew.bentham@arm.com> | 2018-10-25 14:06:56 +0100 |
| commit | 28dcab6c176a3938519809aa9da7321e4ede7623 (patch) | |
| tree | f83cebcf0c89e9b9f9464292e14268b90c8cc628 /src/backends/cl/test/ClCreateWorkloadTests.cpp | |
| parent | 70104000ddcf3bc1a1d21f16d1468456ca17b80a (diff) | |
| download | armnn-28dcab6c176a3938519809aa9da7321e4ede7623.tar.gz | |
IVGCVSW-2049 + IVGCVSW-2051 Create the CL Mean Float workload and add
the unit tests
* Created the ClFloatWorkload class
* Added ClMeanValidate validation function
* Added helper function to convert the reduction axes from the ArmNN
format to ACL's
* Added workload tests
* Added some unit tests
* These changes need the CL pin to be pointing at least to revision
88d871028eeae57f9e4536d0329110eccb5e2890 (COMPMID-1574 Implement
ReduceMean in OpenCL)
!android-nn-driver:155033
Change-Id: I694fd36be0458c90e158172afde045fcc88c32ae
Diffstat (limited to 'src/backends/cl/test/ClCreateWorkloadTests.cpp')
| -rw-r--r-- | src/backends/cl/test/ClCreateWorkloadTests.cpp | 34 |
1 files changed, 32 insertions, 2 deletions
diff --git a/src/backends/cl/test/ClCreateWorkloadTests.cpp b/src/backends/cl/test/ClCreateWorkloadTests.cpp index 4f9989405d..2a705de99b 100644 --- a/src/backends/cl/test/ClCreateWorkloadTests.cpp +++ b/src/backends/cl/test/ClCreateWorkloadTests.cpp @@ -14,8 +14,6 @@ #include <backends/cl/workloads/ClWorkloads.hpp> #include <backends/cl/workloads/ClWorkloadUtils.hpp> -#include <backends/reference/RefWorkloadFactory.hpp> - boost::test_tools::predicate_result CompareIClTensorHandleShape(IClTensorHandle* tensorHandle, std::initializer_list<unsigned int> expectedDimensions) { @@ -739,4 +737,36 @@ BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat16NhwcWorkload) ClResizeBilinearWorkloadTest<ClResizeBilinearFloatWorkload, armnn::DataType::Float16>(DataLayout::NHWC); } +template <typename MeanWorkloadType, typename armnn::DataType DataType> +static void ClMeanWorkloadTest() +{ + Graph graph; + ClWorkloadFactory factory; + auto workload = CreateMeanWorkloadTest<MeanWorkloadType, DataType>(factory, graph); + + // Checks that inputs/outputs are as we expect them (see definition of CreateMeanWorkloadTest). + MeanQueueDescriptor queueDescriptor = workload->GetData(); + auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]); + auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]); + + // The first dimension (batch size) in both input and output is singular thus it has been reduced by ACL. + BOOST_TEST(CompareIClTensorHandleShape(inputHandle, { 3, 7, 4 })); + BOOST_TEST(CompareIClTensorHandleShape(outputHandle, { 4 })); +} + +BOOST_AUTO_TEST_CASE(CreateMeanFloat32Workload) +{ + ClMeanWorkloadTest<ClMeanWorkload, armnn::DataType::Float32>(); +} + +BOOST_AUTO_TEST_CASE(CreateMeanFloat16Workload) +{ + ClMeanWorkloadTest<ClMeanWorkload, armnn::DataType::Float16>(); +} + +BOOST_AUTO_TEST_CASE(CreateMeanUint8Workload) +{ + ClMeanWorkloadTest<ClMeanWorkload, armnn::DataType::QuantisedAsymm8>(); +} + BOOST_AUTO_TEST_SUITE_END() |