diff options
Diffstat (limited to 'src/backends/reference/RefLayerSupport.cpp')
| -rw-r--r-- | src/backends/reference/RefLayerSupport.cpp | 45 |
1 files changed, 30 insertions, 15 deletions
diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp index 5692f9e143..4958968175 100644 --- a/src/backends/reference/RefLayerSupport.cpp +++ b/src/backends/reference/RefLayerSupport.cpp @@ -100,8 +100,9 @@ bool RefLayerSupport::IsActivationSupported(const TensorInfo& input, bool supported = true; // Define supported types. - std::array<DataType,3> supportedTypes = { + std::array<DataType,4> supportedTypes = { DataType::Float32, + DataType::Float16, DataType::QuantisedAsymm8, DataType::QuantisedSymm16 }; @@ -162,8 +163,9 @@ bool RefLayerSupport::IsAdditionSupported(const TensorInfo& input0, { bool supported = true; - std::array<DataType,3> supportedTypes = { + std::array<DataType,4> supportedTypes = { DataType::Float32, + DataType::Float16, DataType::QuantisedAsymm8, DataType::QuantisedSymm16 }; @@ -375,8 +377,9 @@ bool RefLayerSupport::IsConvolution2dSupported(const TensorInfo& input, bool supported = true; // Define supported types. - std::array<DataType,3> supportedTypes = { + std::array<DataType,4> supportedTypes = { DataType::Float32, + DataType::Float16, DataType::QuantisedAsymm8, DataType::QuantisedSymm16 }; @@ -398,8 +401,9 @@ bool RefLayerSupport::IsConvolution2dSupported(const TensorInfo& input, if (biases.has_value()) { - std::array<DataType,2> biasesSupportedTypes = { + std::array<DataType,3> biasesSupportedTypes = { DataType::Float32, + DataType::Float16, DataType::Signed32 }; supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported, @@ -445,9 +449,10 @@ bool RefLayerSupport::IsDepthwiseConvolutionSupported(const TensorInfo& input, bool supported = true; // Define supported types. - std::array<DataType,3> supportedTypes = + std::array<DataType,4> supportedTypes = { DataType::Float32, + DataType::Float16, DataType::QuantisedAsymm8, DataType::QuantisedSymm16 }; @@ -469,9 +474,10 @@ bool RefLayerSupport::IsDepthwiseConvolutionSupported(const TensorInfo& input, if (biases.has_value()) { - std::array<DataType,2> biasesSupportedTypes = + std::array<DataType,3> biasesSupportedTypes = { DataType::Float32, + DataType::Float16, DataType::Signed32 }; supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported, @@ -656,9 +662,10 @@ bool RefLayerSupport::IsFullyConnectedSupported(const TensorInfo& input, bool supported = true; // Define supported types. - std::array<DataType,3> supportedTypes = + std::array<DataType,4> supportedTypes = { DataType::Float32, + DataType::Float16, DataType::QuantisedAsymm8, DataType::QuantisedSymm16 }; @@ -681,10 +688,11 @@ bool RefLayerSupport::IsFullyConnectedSupported(const TensorInfo& input, if (descriptor.m_BiasEnabled) { // Defined supported types for bias - std::array<DataType, 2> + std::array<DataType, 3> supportedBiasTypes = { DataType::Float32, + DataType::Float16, DataType::Signed32 }; @@ -772,9 +780,10 @@ bool RefLayerSupport::IsL2NormalizationSupported(const TensorInfo& input, { ignore_unused(descriptor); // Define supported types - std::array<DataType, 3> supportedTypes = + std::array<DataType, 4> supportedTypes = { DataType::Float32, + DataType::Float16, DataType::QuantisedAsymm8, DataType::QuantisedSymm16 }; @@ -950,9 +959,10 @@ bool RefLayerSupport::IsMeanSupported(const TensorInfo& input, std::string meanLayerStr = "Mean"; std::string outputTensorStr = "output"; - std::array<DataType,3> supportedTypes = + std::array<DataType,4> supportedTypes = { DataType::Float32, + DataType::Float16, DataType::QuantisedAsymm8, DataType::QuantisedSymm16 }; @@ -1077,8 +1087,9 @@ bool RefLayerSupport::IsMultiplicationSupported(const TensorInfo& input0, { bool supported = true; - std::array<DataType,3> supportedTypes = { + std::array<DataType,4> supportedTypes = { DataType::Float32, + DataType::Float16, DataType::QuantisedAsymm8, DataType::QuantisedSymm16 }; @@ -1150,9 +1161,10 @@ bool RefLayerSupport::IsPadSupported(const TensorInfo& input, bool supported = true; // Define supported output and inputs types. - std::array<DataType,3> supportedTypes = + std::array<DataType,4> supportedTypes = { DataType::Float32, + DataType::Float16, DataType::QuantisedAsymm8, DataType::QuantisedSymm16 }; @@ -1206,9 +1218,10 @@ bool RefLayerSupport::IsPooling2dSupported(const TensorInfo& input, bool supported = true; // Define supported output and inputs types. - std::array<DataType,3> supportedTypes = + std::array<DataType,4> supportedTypes = { DataType::Float32, + DataType::Float16, DataType::QuantisedAsymm8, DataType::QuantisedSymm16 }; @@ -1606,9 +1619,10 @@ bool RefLayerSupport::IsTransposeConvolution2dSupported(const TensorInfo& input, { bool supported = true; - std::array<DataType,3> supportedTypes = + std::array<DataType,4> supportedTypes = { DataType::Float32, + DataType::Float16, DataType::QuantisedAsymm8, DataType::QuantisedSymm16 }; @@ -1630,9 +1644,10 @@ bool RefLayerSupport::IsTransposeConvolution2dSupported(const TensorInfo& input, if (biases.has_value()) { - std::array<DataType,2> biasesSupportedTypes = + std::array<DataType,3> biasesSupportedTypes = { DataType::Float32, + DataType::Float16, DataType::Signed32 }; supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported, |