diff options
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/PowerTestImpl.cpp')
-rw-r--r-- | src/backends/backendsCommon/test/layerTests/PowerTestImpl.cpp | 539 |
1 files changed, 539 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/PowerTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/PowerTestImpl.cpp new file mode 100644 index 0000000000..dd6d569270 --- /dev/null +++ b/src/backends/backendsCommon/test/layerTests/PowerTestImpl.cpp @@ -0,0 +1,539 @@ +// +// Copyright © 2023 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "PowerTestImpl.hpp" + +#include "ElementwiseTestImpl.hpp" + +LayerTestResult<float, 4> PowerTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory) +{ + IgnoreUnused(memoryManager); + unsigned int shape[] = { 2, 2, 2, 2 }; + + std::vector<float> input0 = + { + 7.f, 3.f, 4.f, 2.f, 6.f, 4.f, 2.f, 1.f, + 1.f, 1.f, 0.f, 2.f, 9.f, 3.f, 5.f, 3.f + }; + + std::vector<float> input1 = + { + 2.f, 3.f, 2.f, 1.f, 2.f, 3.f, 4.f, 3.f, + 4.f, 5.f, 3.f, 5.f, 2.f, 3.f, 2.f, 0.f + }; + + std::vector<float> output + { + 49.f, 27.f, 16.f, 2.f, 36.f, 64.f, 16.f, 1.f, + 1.f, 1.f, 0.f, 32.f, 81.f, 27.f, 25.f, 1.f + }; + + return ElementwiseTestHelper<4, armnn::DataType::Float32, armnn::DataType::Float32>( + workloadFactory, + memoryManager, + armnn::BinaryOperation::Power, + shape, + input0, + shape, + input1, + shape, + output, + tensorHandleFactory); +} + +LayerTestResult<float, 4> PowerBroadcast1ElementTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory) +{ + IgnoreUnused(memoryManager); + unsigned int shape0[] = { 1, 2, 2, 2 }; + unsigned int shape1[] = { 1, 1, 1, 1 }; + + std::vector<float> input0 = + { + 1.f, 2.f, 3.f, 4.f, 5.f, 0.f, 2.f, 1.f + }; + + std::vector<float> input1 = { 2.f }; + + std::vector<float> output = + { + 1.f, 4.f, 9.f, 16.f, 25.f, 0.f, 4.f, 1.f + }; + + return ElementwiseTestHelper<4, armnn::DataType::Float32, armnn::DataType::Float32>( + workloadFactory, + memoryManager, + armnn::BinaryOperation::Power, + shape0, + input0, + shape1, + input1, + shape0, + output, + tensorHandleFactory); +} + +LayerTestResult<float, 4> PowerBroadcastTest( + armnn::IWorkloadFactory & workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory) +{ + IgnoreUnused(memoryManager); + const unsigned int shape0[] = { 1, 2, 2, 3 }; + const unsigned int shape1[] = { 1, 1, 1, 3 }; + + std::vector<float> input0 = + { + 1.f, 2.f, 3.f, 3.f, 4.f, 4.f, + 4.f, 0.f, 2.f, 3.f, 4.f, 4.f + }; + + std::vector<float> input1 = { 1.f, 3.f, 1.f }; + + std::vector<float> output = + { + 1.f, 8.f, 3.f, 3.f, 64.f, 4.f, + 4.f, 0.f, 2.f, 3.f, 64.f, 4.f + }; + + return ElementwiseTestHelper<4, armnn::DataType::Float32, armnn::DataType::Float32>( + workloadFactory, + memoryManager, + armnn::BinaryOperation::Power, + shape0, + input0, + shape1, + input1, + shape0, + output, + tensorHandleFactory); +} + +LayerTestResult<armnn::Half, 4> PowerFloat16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory) +{ + IgnoreUnused(memoryManager); + using namespace half_float::literal; + + unsigned int shape[] = { 2, 2, 2, 2 }; + + std::vector<armnn::Half> input0 = + { + 1._h, 5._h, 1._h, 4._h, 6._h, 1._h, 3._h, 5._h, + 3._h, 7._h, 6._h, 3._h, 8._h, 4._h, 4._h, 2._h + }; + + std::vector<armnn::Half> input1 = + { + 2._h, 2._h, 2._h, 2._h, 2._h, 3._h, 3._h, 2._h, + 1._h, 2._h, 2._h, 4._h, 2._h, 1._h, 3._h, 5._h + }; + + std::vector<armnn::Half> output + { + 1._h, 25._h, 1._h, 16._h, 36._h, 1._h, 27._h, 25._h, + 3._h, 49._h, 36._h, 81._h, 64._h, 4._h, 64._h, 32._h + }; + + return ElementwiseTestHelper<4, armnn::DataType::Float16, armnn::DataType::Float16>( + workloadFactory, + memoryManager, + armnn::BinaryOperation::Power, + shape, + input0, + shape, + input1, + shape, + output, + tensorHandleFactory); +} + +LayerTestResult<armnn::Half, 4> PowerBroadcast1ElementFloat16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory) +{ + IgnoreUnused(memoryManager); + using namespace half_float::literal; + + const unsigned int shape0[] = { 1, 2, 2, 3 }; + const unsigned int shape1[] = { 1, 1, 1, 1 }; + + std::vector<armnn::Half> input0 = + { + 1._h, 2._h, 3._h, 4._h, 5._h, 4._h, + 1._h, 5._h, 4._h, 2._h, 0._h, 1._h + }; + + std::vector<armnn::Half> input1 = { 2._h }; + + std::vector<armnn::Half> output = + { + 1._h, 4._h, 9._h, 16._h, 25._h, 16._h, + 1._h, 25._h, 16._h, 4._h, 0._h, 1._h + }; + + return ElementwiseTestHelper<4, armnn::DataType::Float16, armnn::DataType::Float16>( + workloadFactory, + memoryManager, + armnn::BinaryOperation::Power, + shape0, + input0, + shape1, + input1, + shape0, + output, + tensorHandleFactory); +} + +LayerTestResult<armnn::Half, 4> PowerBroadcastFloat16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory) +{ + IgnoreUnused(memoryManager); + using namespace half_float::literal; + + const unsigned int shape0[] = { 1, 2, 2, 3 }; + const unsigned int shape1[] = { 1, 1, 1, 3 }; + + std::vector<armnn::Half> input0 = + { + 4._h, 2._h, 3._h, 4._h, 1._h, 0._h, + 8._h, 1._h, 1._h, 1._h, 2._h, 4._h + }; + + std::vector<armnn::Half> input1 = { 1._h, 5._h, 3._h }; + + std::vector<armnn::Half> output = + { + 4._h, 32._h, 27._h, 4._h, 1._h, 0._h, + 8._h, 1._h, 1._h, 1._h, 32._h, 64._h + }; + + return ElementwiseTestHelper<4, armnn::DataType::Float16, armnn::DataType::Float16>( + workloadFactory, + memoryManager, + armnn::BinaryOperation::Power, + shape0, + input0, + shape1, + input1, + shape0, + output, + tensorHandleFactory); +} + +LayerTestResult<uint8_t, 4> PowerUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory) +{ + IgnoreUnused(memoryManager); + const unsigned int shape[] = { 1, 1, 2, 2 }; + + std::vector<uint8_t> input0 = { 4, 2, 4, 3 }; + + std::vector<uint8_t> input1 = { 1, 2, 2, 2 }; + + std::vector<uint8_t> output = { 4, 4, 16, 9 }; + + return ElementwiseTestHelper<4, armnn::DataType::QAsymmU8, armnn::DataType::QAsymmU8>( + workloadFactory, + memoryManager, + armnn::BinaryOperation::Power, + shape, + input0, + shape, + input1, + shape, + output, + tensorHandleFactory); +} + +LayerTestResult<uint8_t, 4> PowerBroadcast1ElementUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory) +{ + IgnoreUnused(memoryManager); + const unsigned int shape0[] = { 1, 1, 2, 2 }; + const unsigned int shape1[] = { 1, 1, 1, 1 }; + + std::vector<uint8_t> input0 = { 4, 5, 1, 0 }; + + std::vector<uint8_t> input1 = { 2 }; + + std::vector<uint8_t> output = { 16, 25, 1, 0 }; + + return ElementwiseTestHelper<4, armnn::DataType::QAsymmU8, armnn::DataType::QAsymmU8>( + workloadFactory, + memoryManager, + armnn::BinaryOperation::Power, + shape0, + input0, + shape1, + input1, + shape0, + output, + tensorHandleFactory); +} + +LayerTestResult<uint8_t, 4> PowerBroadcastUint8Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory) +{ + IgnoreUnused(memoryManager); + const unsigned int shape0[] = { 1, 1, 2, 2 }; + const unsigned int shape1[] = { 1, 1, 1, 2 }; + + std::vector<uint8_t> input0 = { 4, 1, 6, 2 }; + + std::vector<uint8_t> input1 = { 2, 6 }; + + std::vector<uint8_t> output = { 16, 1, 36, 64 }; + + return ElementwiseTestHelper<4, armnn::DataType::QAsymmU8, armnn::DataType::QAsymmU8>( + workloadFactory, + memoryManager, + armnn::BinaryOperation::Power, + shape0, + input0, + shape1, + input1, + shape0, + output, + tensorHandleFactory); +} + +LayerTestResult<int16_t, 4> PowerInt16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory) +{ + IgnoreUnused(memoryManager); + unsigned int shape[] = { 2, 2, 2, 2 }; + + std::vector<int16_t> input0 = + { + 1, 5, 1, 4, 4, 9, 3, 7, + 3, 2, 9, 6, 1, 2, 1, 4 + }; + + std::vector<int16_t> input1 = + { + 2, 2, 0, 3, 2, 1, 3, 2, + 4, 4, 2, 1, 7, 5, 4, 2 + }; + + std::vector<int16_t> output + { + 1, 25, 0, 64, 16, 9, 27, 49, + 81, 16, 81, 6, 1, 32, 1, 16 + }; + + return ElementwiseTestHelper<4, armnn::DataType::QSymmS16, armnn::DataType::QSymmS16>( + workloadFactory, + memoryManager, + armnn::BinaryOperation::Power, + shape, + input0, + shape, + input1, + shape, + output, + tensorHandleFactory); +} + +LayerTestResult<int16_t, 4> PowerBroadcast1ElementInt16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory) +{ + IgnoreUnused(memoryManager); + const unsigned int shape0[] = { 1, 2, 2, 3 }; + const unsigned int shape1[] = { 1, 1, 1, 1 }; + + std::vector<int16_t> input0 = + { + 1, 2, 3, 4, 5, 0, + 5, 4, 1, 4, 5, 2 + }; + + std::vector<int16_t> input1 = { 2 }; + + std::vector<int16_t> output = + { + 1, 4, 9, 16, 25, 0, + 25, 16, 1, 16, 25, 4 + }; + + return ElementwiseTestHelper<4, armnn::DataType::QSymmS16, armnn::DataType::QSymmS16>( + workloadFactory, + memoryManager, + armnn::BinaryOperation::Power, + shape0, + input0, + shape1, + input1, + shape0, + output, + tensorHandleFactory); +} + +LayerTestResult<int16_t, 4> PowerBroadcastInt16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory) +{ + IgnoreUnused(memoryManager); + const unsigned int shape0[] = { 1, 2, 2, 3 }; + const unsigned int shape1[] = { 1, 1, 1, 3 }; + + std::vector<int16_t> input0 = + { + 4, 2, 1, 4, 5, 3, + 7, 3, 4, 8, 1, 2 + }; + + std::vector<int16_t> input1 = { 1, 2, 3 }; + + std::vector<int16_t> output = + { + 4, 4, 1, 4, 25, 27, + 7, 9, 64, 8, 1, 8 + }; + + return ElementwiseTestHelper<4, armnn::DataType::QSymmS16, armnn::DataType::QSymmS16>( + workloadFactory, + memoryManager, + armnn::BinaryOperation::Power, + shape0, + input0, + shape1, + input1, + shape0, + output, + tensorHandleFactory); +} + +LayerTestResult<int32_t, 4> PowerInt32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory) +{ + IgnoreUnused(memoryManager); + unsigned int shape[] = { 2, 2, 2, 2 }; + + std::vector<int32_t> input0 = + { + 1, 3, 4, 3, 1, 4, 2, 1, + 2, 1, 2, 1, 4, 3, 4, 3 + }; + + std::vector<int32_t> input1 = + { + 2, 2, 2, 2, 3, 3, 4, 3, + 4, 4, 4, 4, 1, 3, 1, 3 + }; + + std::vector<int32_t> output + { + 1, 9, 16, 9, 1, 64, 16, 1, + 16, 1, 16, 1, 4, 27, 4, 27 + }; + + return ElementwiseTestHelper<4, armnn::DataType::Signed32, armnn::DataType::Signed32>( + workloadFactory, + memoryManager, + armnn::BinaryOperation::Power, + shape, + input0, + shape, + input1, + shape, + output, + tensorHandleFactory); +} + +LayerTestResult<int32_t, 4> PowerBroadcastInt32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory) +{ + IgnoreUnused(memoryManager); + const unsigned int shape0[] = { 1, 2, 2, 3 }; + const unsigned int shape1[] = { 1, 1, 1, 3 }; + + std::vector<int32_t> input0 = + { + 4, 4, 3, 4, 5, 0, + 5, 8, 1, 3, 9, 2 + }; + + std::vector<int32_t> input1 = { 2, 1, 3 }; + + std::vector<int32_t> output = + { + 16, 4, 27, 16, 5, 0, + 25, 8, 1, 9, 9, 8 + }; + + return ElementwiseTestHelper<4, armnn::DataType::Signed32, armnn::DataType::Signed32>( + workloadFactory, + memoryManager, + armnn::BinaryOperation::Power, + shape0, + input0, + shape1, + input1, + shape0, + output, + tensorHandleFactory); +} + +LayerTestResult<int32_t, 4> PowerBroadcast1ElementInt32Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory) +{ + IgnoreUnused(memoryManager); + const unsigned int shape0[] = { 1, 2, 2, 3 }; + const unsigned int shape1[] = { 1, 1, 1, 1 }; + + std::vector<int32_t> input0 = + { + 1, 2, 3, 4, 5, 3, + 3, 1, 0, 2, 1, 5 + }; + + std::vector<int32_t> input1 = { 2 }; + + std::vector<int32_t> output = + { + 1, 4, 9, 16, 25, 9, + 9, 1, 0, 4, 1, 25 + }; + + return ElementwiseTestHelper<4, armnn::DataType::Signed32, armnn::DataType::Signed32>( + workloadFactory, + memoryManager, + armnn::BinaryOperation::Power, + shape0, + input0, + shape1, + input1, + shape0, + output, + tensorHandleFactory); +} |