diff options
Diffstat (limited to 'src/backends/reference/RefLayerSupport.cpp')
| -rw-r--r-- | src/backends/reference/RefLayerSupport.cpp | 170 |
1 files changed, 138 insertions, 32 deletions
diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp index d2cf6f904a..3512d52acf 100644 --- a/src/backends/reference/RefLayerSupport.cpp +++ b/src/backends/reference/RefLayerSupport.cpp @@ -228,9 +228,10 @@ bool RefLayerSupport::IsAdditionSupported(const TensorInfo& input0, { bool supported = true; - std::array<DataType,2> supportedTypes = { + std::array<DataType,3> supportedTypes = { DataType::Float32, - DataType::QuantisedAsymm8 + DataType::QuantisedAsymm8, + DataType::QuantisedSymm16 }; supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported, @@ -432,12 +433,33 @@ bool RefLayerSupport::IsDivisionSupported(const TensorInfo& input0, const TensorInfo& output, Optional<std::string&> reasonIfUnsupported) const { - ignore_unused(input1); - ignore_unused(output); - return IsSupportedForDataTypeRef(reasonIfUnsupported, - input0.GetDataType(), - &TrueFunc<>, - &TrueFunc<>); + bool supported = true; + + std::array<DataType,3> supportedTypes = { + DataType::Float32, + DataType::QuantisedAsymm8, + DataType::QuantisedSymm16 + }; + + supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported, + "Reference division: input 0 is not a supported type."); + + supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported, + "Reference division: input 1 is not a supported type."); + + supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported, + "Reference division: output is not a supported type."); + + supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported, + "Reference division: input 0 and Input 1 types are mismatched"); + + supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported, + "Reference division: input and output types are mismatched"); + + supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported, + "Reference division: shapes are not suitable for implicit broadcast."); + + return supported; } bool RefLayerSupport::IsEqualSupported(const TensorInfo& input0, @@ -606,12 +628,33 @@ bool RefLayerSupport::IsMaximumSupported(const TensorInfo& input0, const TensorInfo& output, Optional<std::string&> reasonIfUnsupported) const { - ignore_unused(input1); - ignore_unused(output); - return IsSupportedForDataTypeRef(reasonIfUnsupported, - input0.GetDataType(), - &TrueFunc<>, - &TrueFunc<>); + bool supported = true; + + std::array<DataType,3> supportedTypes = { + DataType::Float32, + DataType::QuantisedAsymm8, + DataType::QuantisedSymm16 + }; + + supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported, + "Reference maximum: input 0 is not a supported type."); + + supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported, + "Reference maximum: input 1 is not a supported type."); + + supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported, + "Reference maximum: output is not a supported type."); + + supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported, + "Reference maximum: input 0 and Input 1 types are mismatched"); + + supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported, + "Reference maximum: input and output types are mismatched"); + + supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported, + "Reference maximum: shapes are not suitable for implicit broadcast."); + + return supported; } bool RefLayerSupport::IsMeanSupported(const TensorInfo& input, @@ -659,12 +702,33 @@ bool RefLayerSupport::IsMinimumSupported(const TensorInfo& input0, const TensorInfo& output, Optional<std::string&> reasonIfUnsupported) const { - ignore_unused(input1); - ignore_unused(output); - return IsSupportedForDataTypeRef(reasonIfUnsupported, - input0.GetDataType(), - &TrueFunc<>, - &TrueFunc<>); + bool supported = true; + + std::array<DataType,3> supportedTypes = { + DataType::Float32, + DataType::QuantisedAsymm8, + DataType::QuantisedSymm16 + }; + + supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported, + "Reference minimum: input 0 is not a supported type."); + + supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported, + "Reference minimum: input 1 is not a supported type."); + + supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported, + "Reference minimum: output is not a supported type."); + + supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported, + "Reference minimum: input 0 and Input 1 types are mismatched"); + + supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported, + "Reference minimum: input and output types are mismatched"); + + supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported, + "Reference minimum: shapes are not suitable for implicit broadcast."); + + return supported; } bool RefLayerSupport::IsMultiplicationSupported(const TensorInfo& input0, @@ -672,12 +736,33 @@ bool RefLayerSupport::IsMultiplicationSupported(const TensorInfo& input0, const TensorInfo& output, Optional<std::string&> reasonIfUnsupported) const { - ignore_unused(input1); - ignore_unused(output); - return IsSupportedForDataTypeRef(reasonIfUnsupported, - input0.GetDataType(), - &TrueFunc<>, - &TrueFunc<>); + bool supported = true; + + std::array<DataType,3> supportedTypes = { + DataType::Float32, + DataType::QuantisedAsymm8, + DataType::QuantisedSymm16 + }; + + supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported, + "Reference multiplication: input 0 is not a supported type."); + + supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported, + "Reference multiplication: input 1 is not a supported type."); + + supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported, + "Reference multiplication: output is not a supported type."); + + supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported, + "Reference multiplication: input 0 and Input 1 types are mismatched"); + + supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported, + "Reference multiplication: input and output types are mismatched"); + + supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported, + "Reference multiplication: shapes are not suitable for implicit broadcast."); + + return supported; } bool RefLayerSupport::IsNormalizationSupported(const TensorInfo& input, @@ -860,12 +945,33 @@ bool RefLayerSupport::IsSubtractionSupported(const TensorInfo& input0, const TensorInfo& output, Optional<std::string&> reasonIfUnsupported) const { - ignore_unused(input1); - ignore_unused(output); - return IsSupportedForDataTypeRef(reasonIfUnsupported, - input0.GetDataType(), - &TrueFunc<>, - &TrueFunc<>); + bool supported = true; + + std::array<DataType,3> supportedTypes = { + DataType::Float32, + DataType::QuantisedAsymm8, + DataType::QuantisedSymm16 + }; + + supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported, + "Reference subtraction: input 0 is not a supported type."); + + supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported, + "Reference subtraction: input 1 is not a supported type."); + + supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported, + "Reference subtraction: output is not a supported type."); + + supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported, + "Reference subtraction: input 0 and Input 1 types are mismatched"); + + supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported, + "Reference subtraction: input and output types are mismatched"); + + supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported, + "Reference subtraction: shapes are not suitable for implicit broadcast."); + + return supported; } } // namespace armnn |