diff options
Diffstat (limited to 'src/backends/reference/RefLayerSupport.cpp')
| -rw-r--r-- | src/backends/reference/RefLayerSupport.cpp | 37 |
1 files changed, 37 insertions, 0 deletions
diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp index b55adfa958..3bc4affb28 100644 --- a/src/backends/reference/RefLayerSupport.cpp +++ b/src/backends/reference/RefLayerSupport.cpp @@ -212,6 +212,11 @@ bool RefLayerSupport::IsLayerSupported(const LayerType& type, infos[2], *(PolymorphicDowncast<const GatherDescriptor*>(&descriptor)), reasonIfUnsupported); + case LayerType::GatherNd: + return IsGatherNdSupported(infos[0], + infos[1], + infos[2], + reasonIfUnsupported); case LayerType::Input: return IsInputSupported(infos[0], reasonIfUnsupported); case LayerType::InstanceNormalization: @@ -1591,6 +1596,38 @@ bool RefLayerSupport::IsFullyConnectedSupported(const TensorInfo& input, return supported; } +bool RefLayerSupport::IsGatherNdSupported(const armnn::TensorInfo& input0, + const armnn::TensorInfo& input1, + const armnn::TensorInfo& output, + armnn::Optional<std::string&> reasonIfUnsupported) const +{ + bool supported = true; + std::array<DataType,7> supportedTypes = + { + DataType::BFloat16, + DataType::Float32, + DataType::Float16, + DataType::QAsymmS8, + DataType::QAsymmU8, + DataType::QSymmS16, + DataType::Signed32 + }; + + supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported, + "Reference GatherNd: input type not supported"); + + supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported, + "Reference GatherNd: output type not supported"); + + supported &= CheckSupportRule(TypeIs(input1, DataType::Signed32), reasonIfUnsupported, + "Reference GatherNd: indices (input1) type not supported"); + + supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported, + "Reference GatherNd: input and output types not matching"); + + return supported; +} + bool RefLayerSupport::IsGatherSupported(const armnn::TensorInfo& input0, const armnn::TensorInfo& input1, const armnn::TensorInfo& output, |