| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "MaximumTestImpl.hpp" |
| |
| #include "ElementwiseTestImpl.hpp" |
| |
| template<> |
| std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MaximumQueueDescriptor>( |
| const armnn::IWorkloadFactory& workloadFactory, |
| const armnn::WorkloadInfo& info, |
| const armnn::MaximumQueueDescriptor& descriptor) |
| { |
| return workloadFactory.CreateWorkload(armnn::LayerType::Maximum, descriptor, info); |
| } |
| |
| LayerTestResult<float, 4> MaximumSimpleTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| IgnoreUnused(memoryManager); |
| 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<float> input0 = |
| { |
| 1.f, 1.f, 1.f, 1.f, 5.f, 5.f, 5.f, 5.f, |
| 3.f, 3.f, 3.f, 3.f, 4.f, 4.f, 4.f, 4.f |
| }; |
| |
| std::vector<float> input1 = |
| { |
| 2.f, 2.f, 2.f, 2.f, 3.f, 3.f, 3.f, 3.f, |
| 4.f, 4.f, 4.f, 4.f, 5.f, 5.f, 5.f, 5.f |
| }; |
| |
| std::vector<float> output = |
| { |
| 2.f, 2.f, 2.f, 2.f, 5.f, 5.f, 5.f, 5.f, |
| 4.f, 4.f, 4.f, 4.f, 5.f, 5.f, 5.f, 5.f |
| }; |
| |
| return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| workloadFactory, |
| memoryManager, |
| shape, |
| input0, |
| shape, |
| input1, |
| shape, |
| output, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<float, 4> MaximumBroadcast1ElementTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| 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, 6.f, 7.f, 8.f }; |
| |
| std::vector<float> input1 = { 2.f }; |
| |
| std::vector<float> output = { 2.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f }; |
| |
| return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| workloadFactory, |
| memoryManager, |
| shape0, |
| input0, |
| shape1, |
| input1, |
| shape0, |
| output, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<float, 4> MaximumBroadcast1DVectorTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| 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, 4.f, 5.f, 6.f, |
| 7.f, 8.f, 9.f, 10.f, 11.f, 12.f |
| }; |
| |
| std::vector<float> input1 = { 1.f, 2.f, 3.f }; |
| |
| std::vector<float> output = |
| { |
| 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, |
| 7.f, 8.f, 9.f, 10.f, 11.f, 12.f |
| }; |
| |
| return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::Float32>( |
| workloadFactory, |
| memoryManager, |
| shape0, |
| input0, |
| shape1, |
| input1, |
| shape0, |
| output, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<armnn::Half, 4> MaximumFloat16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| 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 = |
| { |
| 1._h, 1._h, 1._h, 1._h, 5._h, 5._h, 5._h, 5._h, |
| 3._h, 3._h, 3._h, 3._h, 4._h, 4._h, 4._h, 4._h |
| }; |
| |
| std::vector<armnn::Half> input1 = |
| { |
| 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> output = |
| { |
| 2._h, 2._h, 2._h, 2._h, 5._h, 5._h, 5._h, 5._h, |
| 4._h, 4._h, 4._h, 4._h, 5._h, 5._h, 5._h, 5._h |
| }; |
| |
| return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::Float16>( |
| workloadFactory, |
| memoryManager, |
| shape, |
| input0, |
| shape, |
| input1, |
| shape, |
| output, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<armnn::Half, 4> MaximumBroadcast1ElementFloat16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| using namespace half_float::literal; |
| |
| unsigned int shape0[] = { 1, 2, 2, 2 }; |
| unsigned int shape1[] = { 1, 1, 1, 1 }; |
| |
| std::vector<armnn::Half> input0 = { 1._h, 2._h, 3._h, 4._h, 5._h, 6._h, 7._h, 8._h }; |
| |
| std::vector<armnn::Half> input1 = { 2._h }; |
| |
| std::vector<armnn::Half> output = { 2._h, 2._h, 3._h, 4._h, 5._h, 6._h, 7._h, 8._h }; |
| |
| return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::Float16>( |
| workloadFactory, |
| memoryManager, |
| shape0, |
| input0, |
| shape1, |
| input1, |
| shape0, |
| output, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<armnn::Half, 4> MaximumBroadcast1DVectorFloat16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| 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 = |
| { |
| 1._h, 2._h, 3._h, 4._h, 5._h, 6._h, |
| 7._h, 8._h, 9._h, 10._h, 11._h, 12._h |
| }; |
| |
| std::vector<armnn::Half> input1 = { 1._h, 2._h, 3._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 |
| }; |
| |
| return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::Float16>( |
| workloadFactory, |
| memoryManager, |
| shape0, |
| input0, |
| shape1, |
| input1, |
| shape0, |
| output, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<uint8_t, 4> MaximumUint8Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| unsigned int shape[] = { 2, 2, 2, 2 }; |
| |
| // See dequantized values to the right. |
| std::vector<uint8_t> input0 = |
| { |
| 1, 1, 1, 1, 6, 6, 6, 6, |
| 3, 3, 3, 3, 4, 4, 4, 4 |
| }; |
| |
| std::vector<uint8_t> input1 = |
| { |
| 2, 2, 2, 2, 3, 3, 3, 3, |
| 4, 4, 4, 4, 5, 5, 5, 5 |
| }; |
| |
| std::vector<uint8_t> output = |
| { |
| 2, 2, 2, 2, 6, 6, 6, 6, |
| 4, 4, 4, 4, 5, 5, 5, 5 |
| }; |
| |
| return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::QAsymmU8>( |
| workloadFactory, |
| memoryManager, |
| shape, |
| input0, |
| shape, |
| input1, |
| shape, |
| output, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<uint8_t, 4> MaximumBroadcast1ElementUint8Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| |
| std::vector<uint8_t> input0 = |
| { |
| 1, 2, 3, 4, 5, 6, |
| 7, 8, 9, 10, 11, 12 |
| }; |
| |
| std::vector<uint8_t> input1 = { 2 }; |
| |
| std::vector<uint8_t> output = |
| { |
| 2, 2, 3, 4, 5, 6, |
| 7, 8, 9, 10, 11, 12 |
| }; |
| |
| return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::QAsymmU8>( |
| workloadFactory, |
| memoryManager, |
| shape0, |
| input0, |
| shape1, |
| input1, |
| shape0, |
| output, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<uint8_t, 4> MaximumBroadcast1DVectorUint8Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| |
| std::vector<uint8_t> input0 = |
| { |
| 1, 2, 3, 4, 5, 6, |
| 7, 8, 9, 10, 11, 12 |
| }; |
| |
| std::vector<uint8_t> input1 = { 1, 10, 3 }; |
| |
| std::vector<uint8_t> output = { |
| 1, 10, 3, 4, 10, 6, |
| 7, 10, 9, 10, 11, 12 |
| }; |
| |
| return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::QAsymmU8>( |
| workloadFactory, |
| memoryManager, |
| shape0, |
| input0, |
| shape1, |
| input1, |
| shape0, |
| output, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<int16_t, 4> MaximumInt16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| unsigned int shape[] = { 2, 2, 2, 2 }; |
| |
| std::vector<int16_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 3, 3, 3, 3, 4, 4, 4, 4 }); |
| |
| std::vector<int16_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 4, 4, 4, 4, 5, 5, 5, 5 }); |
| |
| std::vector<int16_t> output({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 4, 4, 4, 4, 5, 5, 5, 5 }); |
| |
| return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::QSymmS16>( |
| workloadFactory, |
| memoryManager, |
| shape, |
| input0, |
| shape, |
| input1, |
| shape, |
| output, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<int16_t, 4> MaximumBroadcast1ElementInt16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| 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, 6, |
| 7, 8, 9, 10, 11, 12 |
| }; |
| |
| std::vector<int16_t> input1 = { 2 }; |
| |
| std::vector<int16_t> output = |
| { |
| 2, 2, 3, 4, 5, 6, |
| 7, 8, 9, 10, 11, 12 |
| }; |
| |
| return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::QSymmS16>( |
| workloadFactory, |
| memoryManager, |
| shape0, |
| input0, |
| shape1, |
| input1, |
| shape0, |
| output, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<int16_t, 4> MaximumBroadcast1DVectorInt16Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| |
| std::vector<int16_t> input0 = |
| { |
| 1, 2, 3, 4, 5, 6, |
| 7, 8, 9, 10, 11, 12 |
| }; |
| |
| std::vector<int16_t> input1 = { 1, 10, 3 }; |
| |
| std::vector<int16_t> output = |
| { |
| 1, 10, 3, 4, 10, 6, |
| 7, 10, 9, 10, 11, 12 |
| }; |
| |
| return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::QSymmS16>( |
| workloadFactory, |
| memoryManager, |
| shape0, |
| input0, |
| shape1, |
| input1, |
| shape0, |
| output, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<int32_t, 4> MaximumInt32Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| unsigned int shape[] = { 2, 2, 2, 2 }; |
| |
| std::vector<int32_t> input0({ 1, 1, 1, 1, 6, 6, 6, 6, |
| 3, 3, 3, 3, 4, 4, 4, 4 }); |
| |
| std::vector<int32_t> input1({ 2, 2, 2, 2, 3, 3, 3, 3, |
| 4, 4, 4, 4, 5, 5, 5, 5 }); |
| |
| std::vector<int32_t> output({ 2, 2, 2, 2, 6, 6, 6, 6, |
| 4, 4, 4, 4, 5, 5, 5, 5 }); |
| |
| return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::Signed32>( |
| workloadFactory, |
| memoryManager, |
| shape, |
| input0, |
| shape, |
| input1, |
| shape, |
| output, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<int32_t, 4> MaximumBroadcast1ElementInt32Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| 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, 6, |
| 7, 8, 9, 10, 11, 12 |
| }; |
| |
| std::vector<int32_t> input1 = { 2 }; |
| |
| std::vector<int32_t> output = |
| { |
| 2, 2, 3, 4, 5, 6, |
| 7, 8, 9, 10, 11, 12 |
| }; |
| |
| return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::Signed32>( |
| workloadFactory, |
| memoryManager, |
| shape0, |
| input0, |
| shape1, |
| input1, |
| shape0, |
| output, |
| tensorHandleFactory); |
| } |
| |
| LayerTestResult<int32_t, 4> MaximumBroadcast1DVectorInt32Test( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| |
| std::vector<int32_t> input0 = |
| { |
| 1, 2, 3, 4, 5, 6, |
| 7, 8, 9, 10, 11, 12 |
| }; |
| |
| std::vector<int32_t> input1 = { 1, 10, 3 }; |
| |
| std::vector<int32_t> output = |
| { |
| 1, 10, 3, 4, 10, 6, |
| 7, 10, 9, 10, 11, 12 |
| }; |
| |
| return ElementwiseTestHelper<4, armnn::MaximumQueueDescriptor, armnn::DataType::Signed32>( |
| workloadFactory, |
| memoryManager, |
| shape0, |
| input0, |
| shape1, |
| input1, |
| shape0, |
| output, |
| tensorHandleFactory); |
| } |