diff options
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/DivisionTestImpl.cpp')
-rw-r--r-- | src/backends/backendsCommon/test/layerTests/DivisionTestImpl.cpp | 104 |
1 files changed, 104 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/DivisionTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/DivisionTestImpl.cpp index 0316ea185b..9a110a3d34 100644 --- a/src/backends/backendsCommon/test/layerTests/DivisionTestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/DivisionTestImpl.cpp @@ -154,6 +154,110 @@ LayerTestResult<float, 4> DivisionBroadcast1DVectorTest( output); } +LayerTestResult<armnn::Half, 4> DivisionFloat16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + using namespace half_float::literal; + + const unsigned int width = 2u; + const unsigned int height = 2u; + const unsigned int channelCount = 2u; + const unsigned int batchSize = 2u; + + unsigned int shape[] = { batchSize, channelCount, height, width }; + + std::vector<armnn::Half> input0 = + { + 2._h, 2._h, 2._h, 2._h, 3._h, 3._h, 3._h, 3._h, + 4._h, 4._h, 4._h, 4._h, 5._h, 5._h, 5._h, 5._h + }; + + std::vector<armnn::Half> input1 = + { + 1._h, 1._h, 1._h, 1._h, 2._h, 2._h, 2._h, 2._h, + 4._h, 4._h, 4._h, 4._h, 4._h, 4._h, 4._h, 4._h + }; + + std::vector<armnn::Half> output = + { + 2._h, 2._h, 2._h, 2._h, 1.50_h, 1.50_h, 1.50_h, 1.50_h, + 1._h, 1._h, 1._h, 1._h, 1.25_h, 1.25_h, 1.25_h, 1.25_h + }; + + return ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::Float16>( + workloadFactory, + memoryManager, + shape, + input0, + shape, + input1, + shape, + output); +} + +LayerTestResult<armnn::Half, 4> DivisionBroadcast1ElementFloat16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + using namespace half_float::literal; + + unsigned int shape0[] = { 1, 2, 2, 2 }; + unsigned int shape1[] = { 1, 1, 1, 1 }; + + std::vector<armnn::Half> input0({ 2._h, 4._h, 6._h, 8._h, 10._h, 12._h, 14._h, 16._h}); + + std::vector<armnn::Half> input1({ 2._h }); + + std::vector<armnn::Half> output({ 1._h, 2._h, 3._h, 4._h, 5._h, 6._h, 7._h, 8._h}); + + return ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::Float16>( + workloadFactory, + memoryManager, + shape0, + input0, + shape1, + input1, + shape0, + output); +} + +LayerTestResult<armnn::Half, 4> DivisionBroadcast1DVectorFloat16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + using namespace half_float::literal; + + unsigned int shape0[] = { 1, 3, 3, 2 }; + unsigned int shape1[] = { 1, 1, 1, 2 }; + + std::vector<armnn::Half> input0 = + { + 1._h, 4._h, 3._h, 8._h, 5._h, 12._h, + 7._h, 16._h, 9._h, 20._h, 11._h, 24._h, + 13._h, 28._h, 15._h, 32._h, 17._h, 36._h + }; + + std::vector<armnn::Half> input1 = { 1._h, 2._h }; + + std::vector<armnn::Half> output = + { + 1._h, 2._h, 3._h, 4._h, 5._h, 6._h, + 7._h, 8._h, 9._h, 10._h, 11._h, 12._h, + 13._h, 14._h, 15._h, 16._h, 17._h, 18._h + }; + + return ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::Float16>( + workloadFactory, + memoryManager, + shape0, + input0, + shape1, + input1, + shape0, + output); +} + LayerTestResult<uint8_t, 4> DivisionUint8Test( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |