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Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/MinimumTestImpl.cpp')
-rw-r--r-- | src/backends/backendsCommon/test/layerTests/MinimumTestImpl.cpp | 196 |
1 files changed, 196 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/MinimumTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/MinimumTestImpl.cpp new file mode 100644 index 0000000000..eabad8f852 --- /dev/null +++ b/src/backends/backendsCommon/test/layerTests/MinimumTestImpl.cpp @@ -0,0 +1,196 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "MinimumTestImpl.hpp" + +#include "ElementwiseTestImpl.hpp" + +template<> +std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MinimumQueueDescriptor>( + const armnn::IWorkloadFactory& workloadFactory, + const armnn::WorkloadInfo& info, + const armnn::MinimumQueueDescriptor& descriptor) +{ + return workloadFactory.CreateMinimum(descriptor, info); +} + +LayerTestResult<float, 4> MinimumBroadcast1ElementTest1( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& 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, 6.f, 7.f, 8.f }; + + std::vector<float> input1 = { 2.f }; + + std::vector<float> output = { 1.f, 2.f, 2.f, 2.f, 2.f, 2.f, 2.f, 2.f }; + + return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::Float32>( + workloadFactory, + memoryManager, + shape0, + input0, + shape1, + input1, + shape0, + output); +} + +LayerTestResult<float, 4> MinimumBroadcast1ElementTest2( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + unsigned int shape0[] = { 1, 2, 2, 2 }; + unsigned int shape1[] = { 1, 1, 1, 1 }; + + std::vector<float> input0 = { 1.f, 6.f, 3.f, 2.f, 8.f, 9.f, 1.f, 10.f }; + + std::vector<float> input1 = { 5.f }; + + std::vector<float> output = { 1.f, 5.f, 3.f, 2.f, 5.f, 5.f, 1.f, 5.f }; + + return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::Float32>( + workloadFactory, + memoryManager, + shape0, + input0, + shape1, + input1, + shape0, + output); +} + +LayerTestResult<uint8_t, 4> MinimumBroadcast1DVectorUint8Test( + armnn::IWorkloadFactory & workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager) +{ + const unsigned int shape0[] = { 1, 2, 2, 3 }; + const unsigned int shape1[] = { 1, 1, 1, 3 }; + + std::vector<uint8_t> input0 = + { + 1, 2, 3, 3, 2, 1, + 7, 1, 2, 3, 4, 5 + }; + + std::vector<uint8_t> input1 = { 1, 2, 3 }; + + std::vector<uint8_t> output = + { + 1, 2, 3, 1, 2, 1, + 1, 1, 2, 1, 2, 3 + }; + + return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedAsymm8>( + workloadFactory, + memoryManager, + shape0, + input0, + shape1, + input1, + shape0, + output); +} + +LayerTestResult<int16_t, 4> MinimumInt16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + 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 + { + 1, 1, 1, 1, 3, 3, 3, 3, + 3, 3, 3, 3, 4, 4, 4, 4 + }; + + return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( + workloadFactory, + memoryManager, + shape, + input0, + shape, + input1, + shape, + output); +} + +LayerTestResult<int16_t, 4> MinimumBroadcast1ElementInt16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& 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, 6, + 7, 8, 9, 10, 11, 12 + }; + + std::vector<int16_t> input1 = { 2 }; + + std::vector<int16_t> output = + { + 1, 2, 2, 2, 2, 2, + 2, 2, 2, 2, 2, 2 + }; + + return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( + workloadFactory, + memoryManager, + shape0, + input0, + shape1, + input1, + shape0, + output); +} + +LayerTestResult<int16_t, 4> MinimumBroadcast1DVectorInt16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + 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, 2, 3, 1, 5, 3, + 1, 8, 3, 1, 10, 3 + }; + + return ElementwiseTestHelper<4, armnn::MinimumQueueDescriptor, armnn::DataType::QuantisedSymm16>( + workloadFactory, + memoryManager, + shape0, + input0, + shape1, + input1, + shape0, + output); +} |