diff options
Diffstat (limited to 'src/backends/backendsCommon/test/LayerTests.cpp')
-rw-r--r-- | src/backends/backendsCommon/test/LayerTests.cpp | 408 |
1 files changed, 231 insertions, 177 deletions
diff --git a/src/backends/backendsCommon/test/LayerTests.cpp b/src/backends/backendsCommon/test/LayerTests.cpp index a6b3b3d5bb..ce02fedb98 100644 --- a/src/backends/backendsCommon/test/LayerTests.cpp +++ b/src/backends/backendsCommon/test/LayerTests.cpp @@ -8342,10 +8342,9 @@ LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test1( const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) { const unsigned int inputShape[] = {4, 2, 2, 1}; - const unsigned int outputShape[] = {1, 4, 4, 1 }; + const unsigned int outputShape[] = {1, 4, 4, 1}; - std::vector<float> input - ({ + std::vector<float> input({ // Batch 0, Height 0, Width (2) x Channel (1) 1.0f, 3.0f, // Batch 0, Height 1, Width (2) x Channel (1) @@ -8369,8 +8368,7 @@ LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test1( 14.0f, 16.0f }); - std::vector<float> expectedOutput - ({ + std::vector<float> expectedOutput({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, @@ -8392,13 +8390,12 @@ LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test2( const unsigned int inputShape[] = {4, 1, 1, 1}; const unsigned int outputShape[] = {1, 2, 2, 1}; - std::vector<float> input - ({ - // Batch 0, Height 0, Width (2) x Channel (1) - 1.0f, 2.0f, 3.0f, 4.0f + std::vector<float> input({ + // Batch 0, Height 0, Width (2) x Channel (1) + 1.0f, 2.0f, 3.0f, 4.0f }); - std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f}); + std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f}); std::vector<unsigned int> blockShape({2, 2}); std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; @@ -8415,9 +8412,9 @@ LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test3( const unsigned int inputShape[] = {4, 1, 1, 3}; const unsigned int outputShape[] = {1, 2, 2, 3}; - std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f }); + std::vector<float> input({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}); - std::vector<float> expectedOutput({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f }); + std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}); std::vector<unsigned int> blockShape({2, 2}); std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; @@ -8427,6 +8424,39 @@ LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test3( crops, outputShape, expectedOutput); } +LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test4( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {8, 1, 3, 1}; + const unsigned int outputShape[] = {2, 2, 4, 1}; + + std::vector<float> input({ + 0.0f, 1.0f, 3.0f, + 0.0f, 9.0f, 11.0f, + 0.0f, 2.0f, 4.0f, + 0.0f, 10.0f, 12.0f, + 0.0f, 5.0f, 7.0f, + 0.0f, 13.0f, 15.0f, + 0.0f, 6.0f, 8.0f, + 0.0f, 14.0f, 16.0f + }); + + std::vector<float> expectedOutput({ + 1.0f, 2.0f, 3.0f, 4.0f, + 5.0f, 6.0f, 7.0f, 8.0f, + 9.0f, 10.0f, 11.0f, 12.0f, + 13.0f, 14.0f, 15.0f, 16.0f + }); + + std::vector<unsigned int> blockShape({2, 2}); + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}}; + + return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager, + armnn::DataLayout::NHWC, inputShape, input, blockShape, + crops, outputShape, expectedOutput); +} + LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test1( armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) @@ -8434,21 +8464,20 @@ LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test1( const unsigned int inputShape[] = {4, 3, 1, 1}; const unsigned int outputShape[] = {1, 3, 2, 2}; - std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f }); + std::vector<float> input({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}); - std::vector<float> expectedOutput - ({ - // Batch 0, Channel 0, Height (2) x Width (2) - 1.0f, 4.0f, - 7.0f, 10.0f, + std::vector<float> expectedOutput({ + // Batch 0, Channel 0, Height (2) x Width (2) + 1.0f, 4.0f, + 7.0f, 10.0f, - // Batch 0, Channel 1, Height (2) x Width (2) - 2.0f, 5.0f, - 8.0f, 11.0f, + // Batch 0, Channel 1, Height (2) x Width (2) + 2.0f, 5.0f, + 8.0f, 11.0f, - // Batch 0, Channel 2, Height (2) x Width (2) - 3.0f, 6.0f, - 9.0f, 12.0f, + // Batch 0, Channel 2, Height (2) x Width (2) + 3.0f, 6.0f, + 9.0f, 12.0f, }); std::vector<unsigned int> blockShape({2, 2}); @@ -8460,19 +8489,18 @@ LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test1( } LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test2( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) { const unsigned int inputShape[] = {4, 1, 1, 1}; const unsigned int outputShape[] = {1, 1, 2, 2}; - std::vector<float> input - ({ - // Batch 0, Height 0, Width (2) x Channel (1) - 1.0f, 2.0f, 3.0f, 4.0f - }); + std::vector<float> input({ + // Batch 0, Height 0, Width (2) x Channel (1) + 1.0f, 2.0f, 3.0f, 4.0f + }); - std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f}); + std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f}); std::vector<unsigned int> blockShape({2, 2}); std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; @@ -8483,28 +8511,27 @@ LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test2( } LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test3( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) { const unsigned int inputShape[] = {4, 3, 1, 1}; const unsigned int outputShape[] = {1, 3, 2, 2}; - std::vector<float> input({ 1.0f, 3.0f, 5.0f, 7.0f, 9.0f, 11.0f, 2.0f, 4.0f, 6.0f, 8.0f, 10.0f, 12.0f }); + std::vector<float> input({1.0f, 3.0f, 5.0f, 7.0f, 9.0f, 11.0f, 2.0f, 4.0f, 6.0f, 8.0f, 10.0f, 12.0f}); - std::vector<float> expectedOutput - ({ - // Batch 0, Channel 0, Height (2) x Width (2) - 1.0f, 7.0f, - 2.0f, 8.0f, + std::vector<float> expectedOutput({ + // Batch 0, Channel 0, Height (2) x Width (2) + 1.0f, 7.0f, + 2.0f, 8.0f, - // Batch 0, Channel 1, Height (2) x Width (2) - 3.0f, 9.0f, - 4.0f, 10.0f, + // Batch 0, Channel 1, Height (2) x Width (2) + 3.0f, 9.0f, + 4.0f, 10.0f, - // Batch 0, Channel 2, Height (2) x Width (2) - 5.0f, 11.0f, - 6.0f, 12.0f, - }); + // Batch 0, Channel 2, Height (2) x Width (2) + 5.0f, 11.0f, + 6.0f, 12.0f, + }); std::vector<unsigned int> blockShape({2, 2}); std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; @@ -8521,8 +8548,8 @@ LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest1( const unsigned int inputShape[] = {4, 2, 2, 1}; const unsigned int outputShape[] = {1, 4, 4, 1}; - std::vector<uint8_t> input({ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 }); - std::vector<uint8_t> expectedOutput({ 1, 5, 2, 6, 9, 13, 10, 14, 3, 7, 4, 8, 11, 15, 12, 16}); + std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}); + std::vector<uint8_t> expectedOutput({1, 5, 2, 6, 9, 13, 10, 14, 3, 7, 4, 8, 11, 15, 12, 16}); std::vector<unsigned int> blockShape({2, 2}); std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; @@ -8531,6 +8558,161 @@ LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest1( input, blockShape, crops, outputShape, expectedOutput); } +LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest2( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {4, 1, 1, 1}; + const unsigned int outputShape[] = {1, 2, 2, 1}; + + std::vector<uint8_t> input({ + // Batch 0, Height 0, Width (2) x Channel (1) + 1, 2, 3, 4 + }); + + std::vector<uint8_t> expectedOutput({1, 2, 3, 4}); + + std::vector<unsigned int> blockShape({2, 2}); + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; + + return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, + armnn::DataLayout::NHWC, inputShape, input, blockShape, + crops, outputShape, expectedOutput); +} + +LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest3( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {4, 1, 1, 3}; + const unsigned int outputShape[] = {1, 2, 2, 3}; + + std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); + + std::vector<uint8_t> expectedOutput({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); + + std::vector<unsigned int> blockShape({2, 2}); + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; + + return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, + armnn::DataLayout::NHWC, inputShape, input, blockShape, + crops, outputShape, expectedOutput); +} + + +LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest1( + armnn::IWorkloadFactory &workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {4, 3, 1, 1}; + const unsigned int outputShape[] = {1, 3, 2, 2}; + + std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); + + std::vector<uint8_t> expectedOutput({ + // Batch 0, Channel 0, Height (2) x Width (2) + 1, 4, + 7, 10, + + // Batch 0, Channel 1, Height (2) x Width (2) + 2, 5, + 8, 11, + + // Batch 0, Channel 2, Height (2) x Width (2) + 3, 6, + 9, 12, + }); + + std::vector<unsigned int> blockShape({2, 2}); + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; + + return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, + armnn::DataLayout::NCHW, inputShape, input, blockShape, + crops, outputShape, expectedOutput); +} + +LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest2( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {4, 1, 1, 1}; + const unsigned int outputShape[] = {1, 1, 2, 2}; + + std::vector<uint8_t> input({ + // Batch 0, Height 0, Width (2) x Channel (1) + 1, 2, 3, 4 + }); + + std::vector<uint8_t> expectedOutput({1, 2, 3, 4}); + + std::vector<unsigned int> blockShape({2, 2}); + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; + + return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, + armnn::DataLayout::NCHW, inputShape, input, blockShape, + crops, outputShape, expectedOutput); +} + +LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest3( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {4, 3, 1, 1}; + const unsigned int outputShape[] = {1, 3, 2, 2}; + + std::vector<uint8_t> input({1, 3, 5, 7, 9, 11, 2, 4, 6, 8, 10, 12}); + + std::vector<uint8_t> expectedOutput({ + // Batch 0, Channel 0, Height (2) x Width (2) + 1, 7, + 2, 8, + + // Batch 0, Channel 1, Height (2) x Width (2) + 3, 9, + 4, 10, + + // Batch 0, Channel 2, Height (2) x Width (2) + 5, 11, + 6, 12, + }); + + std::vector<unsigned int> blockShape({2, 2}); + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; + + return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, + armnn::DataLayout::NCHW, inputShape, input, blockShape, + crops, outputShape, expectedOutput); +} + +LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest4( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {8, 1, 1, 3}; + const unsigned int outputShape[] = {2, 1, 2, 4}; + + std::vector<uint8_t> input({ + 0, 1, 3, 0, 9, 11, + 0, 2, 4, 0, 10, 12, + 0, 5, 7, 0, 13, 15, + 0, 6, 8, 0, 14, 16 + }); + + std::vector<uint8_t> expectedOutput({ + 1, 2, 3, 4, + 5, 6, 7, 8, + 9, 10, 11, 12, + 13, 14, 15, 16 + }); + + std::vector<unsigned int> blockShape({2, 2}); + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}}; + + return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, + armnn::DataLayout::NCHW, inputShape, input, blockShape, + crops, outputShape, expectedOutput); +} + LayerTestResult<float, 4> StridedSlice4DFloat32Test( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) @@ -8656,134 +8838,6 @@ LayerTestResult<uint8_t, 2> StridedSlice2DReverseUint8Test( { return StridedSlice2DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); } -LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest2( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = {4, 1, 1, 1}; - const unsigned int outputShape[] = {1, 2, 2, 1}; - - std::vector<uint8_t> input - ({ - // Batch 0, Height 0, Width (2) x Channel (1) - 1, 2, 3, 4 - }); - - std::vector<uint8_t> expectedOutput({1, 2, 3, 4}); - - std::vector<unsigned int> blockShape({2, 2}); - std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; - - return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, - armnn::DataLayout::NHWC, inputShape, input, blockShape, - crops, outputShape, expectedOutput); -} - -LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest3( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = {4, 1, 1, 3}; - const unsigned int outputShape[] = {1, 2, 2, 3}; - - std::vector<uint8_t> input({ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 }); - - std::vector<uint8_t> expectedOutput({ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 }); - - std::vector<unsigned int> blockShape({2, 2}); - std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; - - return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, - armnn::DataLayout::NHWC, inputShape, input, blockShape, - crops, outputShape, expectedOutput); -} - - -LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest1( - armnn::IWorkloadFactory &workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = {4, 3, 1, 1}; - const unsigned int outputShape[] = {1, 3, 2, 2}; - - std::vector<uint8_t> input({ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 }); - - std::vector<uint8_t> expectedOutput - ({ - // Batch 0, Channel 0, Height (2) x Width (2) - 1, 4, - 7, 10, - - // Batch 0, Channel 1, Height (2) x Width (2) - 2, 5, - 8, 11, - - // Batch 0, Channel 2, Height (2) x Width (2) - 3, 6, - 9, 12, - }); - - std::vector<unsigned int> blockShape({2, 2}); - std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; - - return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, - armnn::DataLayout::NCHW, inputShape, input, blockShape, - crops, outputShape, expectedOutput); -} - -LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest2( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = {4, 1, 1, 1}; - const unsigned int outputShape[] = {1, 1, 2, 2}; - - std::vector<uint8_t> input - ({ - // Batch 0, Height 0, Width (2) x Channel (1) - 1, 2, 3, 4 - }); - - std::vector<uint8_t> expectedOutput({1, 2, 3, 4}); - - std::vector<unsigned int> blockShape({2, 2}); - std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; - - return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, - armnn::DataLayout::NCHW, inputShape, input, blockShape, - crops, outputShape, expectedOutput); -} - -LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest3( - armnn::IWorkloadFactory& workloadFactory, - const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) -{ - const unsigned int inputShape[] = {4, 3, 1, 1}; - const unsigned int outputShape[] = {1, 3, 2, 2}; - - std::vector<uint8_t> input({ 1, 3, 5, 7, 9, 11, 2, 4, 6, 8, 10, 12 }); - - std::vector<uint8_t> expectedOutput - ({ - // Batch 0, Channel 0, Height (2) x Width (2) - 1, 7, - 2, 8, - - // Batch 0, Channel 1, Height (2) x Width (2) - 3, 9, - 4, 10, - - // Batch 0, Channel 2, Height (2) x Width (2) - 5, 11, - 6, 12, - }); - std::vector<unsigned int> blockShape({2, 2}); - std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; - - return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, - armnn::DataLayout::NCHW, inputShape, input, blockShape, - crops, outputShape, expectedOutput); -} LayerTestResult<float, 4> Debug4DFloat32Test( armnn::IWorkloadFactory& workloadFactory, |