diff options
Diffstat (limited to 'src/armnn/backends/ArmComputeUtils.hpp')
| -rw-r--r-- | src/armnn/backends/ArmComputeUtils.hpp | 12 |
1 files changed, 10 insertions, 2 deletions
diff --git a/src/armnn/backends/ArmComputeUtils.hpp b/src/armnn/backends/ArmComputeUtils.hpp index c451e6434b..3c57fb59b7 100644 --- a/src/armnn/backends/ArmComputeUtils.hpp +++ b/src/armnn/backends/ArmComputeUtils.hpp @@ -36,7 +36,7 @@ CreateAclNormalizationLayerInfoForL2Normalization(const armnn::TensorInfo& tenso // For the reference implementation, to make alpha_ become 1, we'd have to use alpha = normSize instead. const float alpha = 1.0f; - // Don't offset the reduction + // Don't offset the reduction. const float kappa = 0.0f; // pow(reduction, -0.5) = 1 / sqrt(reduction) @@ -53,7 +53,7 @@ ConvertActivationFunctionToAclActivationFunction(ActivationFunction armnnFunctio switch (armnnFunction) { case ActivationFunction::Linear: return AclActivationFunction::LINEAR; - // Arm compute's 'logistic' function is non-parameterized, so it is exactly a sigmoid function + // Arm compute's 'logistic' function is non-parameterized, so it is exactly a sigmoid function. case ActivationFunction::Sigmoid: return AclActivationFunction::LOGISTIC; case ActivationFunction::ReLu: return AclActivationFunction::RELU; case ActivationFunction::BoundedReLu: return AclActivationFunction::LU_BOUNDED_RELU; @@ -112,6 +112,14 @@ ConvertNormalizationAlgorithmChannelToAclNormType(NormalizationAlgorithmChannel } } +inline arm_compute::FullyConnectedLayerInfo +ConvertFullyConnectedDescriptorToAclFullyConnectedLayerInfo(const FullyConnectedDescriptor& fullyConnectedDesc) +{ + arm_compute::FullyConnectedLayerInfo fc_info; + fc_info.transpose_weights = fullyConnectedDesc.m_TransposeWeightMatrix; + return fc_info; +} + } #endif // ARMCOMPUTENEON_ENABLED || ARMCOMPUTECL_ENABLED |