diff options
Diffstat (limited to 'src/backends/backendsCommon/test')
-rw-r--r-- | src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp | 2 | ||||
-rwxr-xr-x | src/backends/backendsCommon/test/LayerTests.cpp | 164 | ||||
-rw-r--r-- | src/backends/backendsCommon/test/LayerTests.hpp | 24 |
3 files changed, 190 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp index d4c5fe43c6..d6528bb0ae 100644 --- a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp +++ b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp @@ -378,6 +378,8 @@ DECLARE_LAYER_POLICY_2_PARAM(ResizeBilinear) DECLARE_LAYER_POLICY_2_PARAM(Reshape) +DECLARE_LAYER_POLICY_1_PARAM(Rsqrt) + DECLARE_LAYER_POLICY_2_PARAM(Softmax) DECLARE_LAYER_POLICY_2_PARAM(SpaceToBatchNd) diff --git a/src/backends/backendsCommon/test/LayerTests.cpp b/src/backends/backendsCommon/test/LayerTests.cpp index 52150075ce..8e4596b703 100755 --- a/src/backends/backendsCommon/test/LayerTests.cpp +++ b/src/backends/backendsCommon/test/LayerTests.cpp @@ -6734,6 +6734,170 @@ LayerTestResult<uint8_t, 4> ResizeBilinearMagUint8Test( return result; } +LayerTestResult<float, 2> Rsqrt2dTestCommon( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::TensorInfo inputTensorInfo, + const armnn::TensorInfo outputTensorInfo, + std::vector<float> inputValues, + std::vector<float> expectedOutputValues) +{ + auto inputTensor = MakeTensor<float, 2>(inputTensorInfo, std::vector<float>(inputValues)); + + LayerTestResult<float, 2> result(outputTensorInfo); + result.outputExpected = MakeTensor<float, 2>(outputTensorInfo, std::vector<float>(expectedOutputValues)); + + std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); + std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); + + armnn::RsqrtQueueDescriptor descriptor; + + armnn::WorkloadInfo info; + + AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); + AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); + + std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateRsqrt(descriptor, info); + + inputHandle->Allocate(); + outputHandle->Allocate(); + + CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0]); + + workload->Execute(); + + CopyDataFromITensorHandle(&result.output[0][0], outputHandle.get()); + + return result; +} +LayerTestResult<float, 2> Rsqrt2dTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const armnn::TensorShape inputShape{ 2, 2 }; + const armnn::TensorShape outputShape{ 2, 2 }; + + const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); + const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); + + std::vector<float> inputValues + { + 1.f, 4.f, + 16.f, 25.f + }; + + std::vector<float> expectedOutputValues + { + 1.f, 0.5f, + 0.25f, 0.2f + }; + + return Rsqrt2dTestCommon(workloadFactory, memoryManager, + inputTensorInfo, outputTensorInfo, + inputValues, expectedOutputValues); +} + +LayerTestResult<float, 3> Rsqrt3dTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const armnn::TensorShape inputShape{ 3, 1, 2 }; + const armnn::TensorShape outputShape{ 3, 1, 2 }; + + const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); + const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); + + std::vector<float> inputValues + { + 1.f, 4.f, 16.f, + 25.f, 64.f, 100.f + }; + + std::vector<float> expectedOutputValues + { + 1.f, 0.5f, 0.25f, + 0.2f, 0.125f, 0.1f + }; + + auto inputTensor = MakeTensor<float, 3>(inputTensorInfo, std::vector<float>(inputValues)); + + LayerTestResult<float, 3> result(outputTensorInfo); + result.outputExpected = MakeTensor<float, 3>(outputTensorInfo, std::vector<float >(expectedOutputValues)); + + std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); + std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); + + armnn::RsqrtQueueDescriptor descriptor; + + armnn::WorkloadInfo info; + + AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); + AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); + + std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateRsqrt(descriptor, info); + + inputHandle->Allocate(); + outputHandle->Allocate(); + + CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0]); + + workload->Execute(); + + CopyDataFromITensorHandle(&result.output[0][0][0], outputHandle.get()); + + return result; +} + +LayerTestResult<float, 2> RsqrtZeroTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const armnn::TensorShape inputShape{ 1, 2 }; + const armnn::TensorShape outputShape{ 1, 2 }; + + const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); + const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); + + std::vector<float> inputValues + { + 0.f, -0.f + }; + + std::vector<float> expectedOutputValues + { + INFINITY, -INFINITY + }; + + return Rsqrt2dTestCommon(workloadFactory, memoryManager, + inputTensorInfo, outputTensorInfo, + inputValues, expectedOutputValues); +} + +LayerTestResult<float, 2> RsqrtNegativeTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const armnn::TensorShape inputShape{ 1, 2 }; + const armnn::TensorShape outputShape{ 1, 2 }; + + const armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32); + const armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); + + std::vector<float> inputValues + { + -25.f, -16.f + }; + + std::vector<float> expectedOutputValues + { + -NAN, -NAN + }; + + return Rsqrt2dTestCommon(workloadFactory, memoryManager, + inputTensorInfo, outputTensorInfo, + inputValues, expectedOutputValues); +} + LayerTestResult<float, 4> BatchNormTest( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) diff --git a/src/backends/backendsCommon/test/LayerTests.hpp b/src/backends/backendsCommon/test/LayerTests.hpp index a871594900..98c0806ddf 100644 --- a/src/backends/backendsCommon/test/LayerTests.hpp +++ b/src/backends/backendsCommon/test/LayerTests.hpp @@ -639,6 +639,30 @@ LayerTestResult<float, 4> ResizeBilinearMagTest( const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, const armnn::DataLayout dataLayout); +LayerTestResult<float, 2> Rsqrt2dTestCommon( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::TensorInfo inputTensorInfo, + const armnn::TensorInfo outputTensorInfo, + std::vector<float> inputValues, + std::vector<float> expectedOutputValues); + +LayerTestResult<float, 2> Rsqrt2dTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<float, 3> Rsqrt3dTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<float, 2> RsqrtZeroTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +LayerTestResult<float, 2> RsqrtNegativeTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + LayerTestResult<float, 4> BatchNormTest( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); 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