diff options
Diffstat (limited to 'src/backends')
-rw-r--r-- | src/backends/backendsCommon/test/LayerTests.cpp | 20 | ||||
-rw-r--r-- | src/backends/backendsCommon/test/LayerTests.hpp | 12 | ||||
-rw-r--r-- | src/backends/reference/RefLayerSupport.cpp | 42 | ||||
-rw-r--r-- | src/backends/reference/test/RefLayerTests.cpp | 6 |
4 files changed, 73 insertions, 7 deletions
diff --git a/src/backends/backendsCommon/test/LayerTests.cpp b/src/backends/backendsCommon/test/LayerTests.cpp index cc6e8b3958..c84a530454 100644 --- a/src/backends/backendsCommon/test/LayerTests.cpp +++ b/src/backends/backendsCommon/test/LayerTests.cpp @@ -441,6 +441,26 @@ LayerTestResult<uint8_t, 4> SimpleConvolution2d3x3Uint8Test( workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); } +LayerTestResult<int16_t, 4> SimpleConvolution2d3x5QSymm16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + bool biasEnabled, + const armnn::DataLayout layout) +{ +return SimpleConvolution2d3x5TestCommon<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( + workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); +} + +LayerTestResult<int16_t, 4> SimpleConvolution2d3x3QSymm16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + bool biasEnabled, + const armnn::DataLayout layout) +{ + return SimpleConvolution2d3x3TestCommon<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( + workloadFactory, memoryManager, 0.5f, 50, biasEnabled, layout); +} + template<armnn::DataType ArmnnType, armnn::DataType ArmnnBType, typename T = armnn::ResolveType<ArmnnType>> LayerTestResult<T, 4> Convolution2dAsymmetricPaddingLargerThanHalfKernelSizeTestCommon( diff --git a/src/backends/backendsCommon/test/LayerTests.hpp b/src/backends/backendsCommon/test/LayerTests.hpp index 26bab72807..9e57ec58a3 100644 --- a/src/backends/backendsCommon/test/LayerTests.hpp +++ b/src/backends/backendsCommon/test/LayerTests.hpp @@ -944,6 +944,18 @@ LayerTestResult<uint8_t, 4> SimpleConvolution2d3x3Uint8Test( bool biasEnabled, const armnn::DataLayout layout); +LayerTestResult<int16_t, 4> SimpleConvolution2d3x5QSymm16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + bool biasEnabled, + const armnn::DataLayout layout); + +LayerTestResult<int16_t, 4> SimpleConvolution2d3x3QSymm16Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + bool biasEnabled, + const armnn::DataLayout layout); + LayerTestResult<uint8_t, 4> DepthwiseConvolution2dUint8Test( armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp index 6ad6816474..b6da628be3 100644 --- a/src/backends/reference/RefLayerSupport.cpp +++ b/src/backends/reference/RefLayerSupport.cpp @@ -364,14 +364,42 @@ bool RefLayerSupport::IsConvolution2dSupported(const TensorInfo& input, const Optional<TensorInfo>& biases, Optional<std::string&> reasonIfUnsupported) const { - ignore_unused(output); + bool supported = true; + + // Define supported types. + std::array<DataType,3> supportedTypes = { + DataType::Float32, + DataType::QuantisedAsymm8, + DataType::QuantisedSymm16 + }; + + supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported, + "Reference addition: input is not a supported type."); + + supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported, + "Reference addition: output is not a supported type."); + + supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported, + "Reference addition: weights is not a supported type."); + + supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported, + "Reference activation: input and output types mismatched."); + + supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported, + "Reference activation: input and weights types mismatched."); + + if (biases.has_value()) + { + std::array<DataType,3> biasesSupportedTypes = { + DataType::Float32, + DataType::Signed32 + }; + supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported, + "Reference addition: biases is not a supported type."); + } ignore_unused(descriptor); - ignore_unused(weights); - ignore_unused(biases); - return IsSupportedForDataTypeRef(reasonIfUnsupported, - input.GetDataType(), - &TrueFunc<>, - &TrueFunc<>); + + return supported; } bool RefLayerSupport::IsDebugSupported(const TensorInfo& input, diff --git a/src/backends/reference/test/RefLayerTests.cpp b/src/backends/reference/test/RefLayerTests.cpp index b72c87b261..ed8f02f46d 100644 --- a/src/backends/reference/test/RefLayerTests.cpp +++ b/src/backends/reference/test/RefLayerTests.cpp @@ -25,6 +25,9 @@ ARMNN_AUTO_TEST_CASE(SimpleConvolution2d3x5, SimpleConvolution2d3x5Test, true, a ARMNN_AUTO_TEST_CASE(SimpleConvolution2d3x5Uint8, SimpleConvolution2d3x5Uint8Test, true, armnn::DataLayout::NCHW) ARMNN_AUTO_TEST_CASE(SimpleConvolution2d3x5Nhwc, SimpleConvolution2d3x5Test, true, armnn::DataLayout::NHWC) ARMNN_AUTO_TEST_CASE(SimpleConvolution2d3x5Uint8Nhwc, SimpleConvolution2d3x5Uint8Test, true, armnn::DataLayout::NHWC) +ARMNN_AUTO_TEST_CASE(SimpleConvolution2d3x5QSymm16, SimpleConvolution2d3x5QSymm16Test, true, armnn::DataLayout::NCHW) +ARMNN_AUTO_TEST_CASE(SimpleConvolution2d3x5QSymm16Nhwc, SimpleConvolution2d3x5QSymm16Test, true, + armnn::DataLayout::NHWC) ARMNN_AUTO_TEST_CASE(UnbiasedConvolution2d, SimpleConvolution2d3x5Test, false, armnn::DataLayout::NCHW) ARMNN_AUTO_TEST_CASE(UnbiasedConvolutionUint8, SimpleConvolution2d3x5Uint8Test, false, armnn::DataLayout::NCHW) @@ -36,9 +39,12 @@ ARMNN_AUTO_TEST_CASE(SimpleConvolution1dUint8, Convolution1dUint8Test, true) ARMNN_AUTO_TEST_CASE(SimpleConvolution2d3x3, SimpleConvolution2d3x3Test, true, armnn::DataLayout::NCHW) ARMNN_AUTO_TEST_CASE(SimpleConvolution2d3x3Uint8, SimpleConvolution2d3x3Uint8Test, true, armnn::DataLayout::NCHW) +ARMNN_AUTO_TEST_CASE(SimpleConvolution2d3x3QSymm16, SimpleConvolution2d3x3QSymm16Test, true, armnn::DataLayout::NCHW) ARMNN_AUTO_TEST_CASE(SimpleConvolution2d3x3Nhwc, SimpleConvolution2d3x3Test, true, armnn::DataLayout::NHWC) ARMNN_AUTO_TEST_CASE(SimpleConvolution2d3x3Uint8Nhwc, SimpleConvolution2d3x3Uint8Test, true, armnn::DataLayout::NHWC) +ARMNN_AUTO_TEST_CASE(SimpleConvolution2d3x3QSymm16Nhwc, SimpleConvolution2d3x3QSymm16Test, true, + armnn::DataLayout::NCHW) ARMNN_AUTO_TEST_CASE(UnbiasedConvolution2dSquare, SimpleConvolution2d3x3Test, false, armnn::DataLayout::NCHW) ARMNN_AUTO_TEST_CASE(UnbiasedConvolution2dSquareNhwc, SimpleConvolution2d3x3Test, false, armnn::DataLayout::NHWC) |