diff options
Diffstat (limited to 'src/backends/reference/RefLayerSupport.cpp')
| -rw-r--r-- | src/backends/reference/RefLayerSupport.cpp | 47 |
1 files changed, 47 insertions, 0 deletions
diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp index 52c079fae4..f48c120203 100644 --- a/src/backends/reference/RefLayerSupport.cpp +++ b/src/backends/reference/RefLayerSupport.cpp @@ -1105,6 +1105,53 @@ bool RefLayerSupport::IsL2NormalizationSupported(const TensorInfo& input, return supported; } +bool RefLayerSupport::IsLogicalBinarySupported(const TensorInfo& input0, + const TensorInfo& input1, + const TensorInfo& output, + const LogicalBinaryDescriptor& descriptor, + Optional<std::string&> reasonIfUnsupported) const +{ + IgnoreUnused(descriptor); + + std::array<DataType, 1> supportedTypes = + { + DataType::Boolean + }; + + bool supported = true; + supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported, + "Reference LogicalBinary: input 0 type not supported"); + supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported, + "Reference LogicalBinary: input 1 type not supported"); + + supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported, + "Reference LogicalBinary: input and output types do not match"); + + return supported; +} + +bool RefLayerSupport::IsLogicalUnarySupported(const TensorInfo& input, + const TensorInfo& output, + const ElementwiseUnaryDescriptor& descriptor, + Optional<std::string&> reasonIfUnsupported) const +{ + IgnoreUnused(descriptor); + + std::array<DataType, 1> supportedTypes = + { + DataType::Boolean + }; + + bool supported = true; + supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported, + "Reference LogicalUnary: input type not supported"); + + supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported, + "Reference LogicalUnary: input and output types do not match"); + + return supported; +} + bool RefLayerSupport::IsLogSoftmaxSupported(const TensorInfo& input, const TensorInfo& output, const LogSoftmaxDescriptor& descriptor, |