diff options
Diffstat (limited to 'src/armnn/optimizations')
| -rw-r--r-- | src/armnn/optimizations/ConvertConstants.hpp | 8 | ||||
| -rw-r--r-- | src/armnn/optimizations/FuseBatchNorm.hpp | 2 |
2 files changed, 5 insertions, 5 deletions
diff --git a/src/armnn/optimizations/ConvertConstants.hpp b/src/armnn/optimizations/ConvertConstants.hpp index 66b3d2685a..65318af285 100644 --- a/src/armnn/optimizations/ConvertConstants.hpp +++ b/src/armnn/optimizations/ConvertConstants.hpp @@ -35,7 +35,7 @@ struct BFloat16ToFloat32 info.GetNumElements(), newValues.data()); - TensorInfo newInfo(info.GetShape(), DataType::Float32); + TensorInfo newInfo(info.GetShape(), DataType::Float32, 0.0f, 0, true); ConstTensor newInput(newInfo, newValues); handle.reset(new ScopedTensorHandle(newInput)); } @@ -56,7 +56,7 @@ struct Float16ToFloat32 info.GetNumElements(), newValues.data()); - TensorInfo newInfo(info.GetShape(), DataType::Float32); + TensorInfo newInfo(info.GetShape(), DataType::Float32, 0.0f, 0, true); ConstTensor newInput(newInfo, newValues); handle.reset(new ScopedTensorHandle(newInput)); } @@ -77,7 +77,7 @@ struct Float32ToBFloat16 info.GetNumElements(), newValues.data()); - TensorInfo newInfo(info.GetShape(), DataType::BFloat16); + TensorInfo newInfo(info.GetShape(), DataType::BFloat16, 0.0f, 0, true); ConstTensor newInput(newInfo, newValues); handle.reset(new ScopedTensorHandle(newInput)); } @@ -98,7 +98,7 @@ struct Float32ToFloat16 info.GetNumElements(), newValues.data()); - TensorInfo newInfo(info.GetShape(), DataType::Float16); + TensorInfo newInfo(info.GetShape(), DataType::Float16, 0.0f, 0, true); ConstTensor newInput(newInfo, newValues); handle.reset(new ScopedTensorHandle(newInput)); } diff --git a/src/armnn/optimizations/FuseBatchNorm.hpp b/src/armnn/optimizations/FuseBatchNorm.hpp index fe8238bf14..66f722a8ef 100644 --- a/src/armnn/optimizations/FuseBatchNorm.hpp +++ b/src/armnn/optimizations/FuseBatchNorm.hpp @@ -146,7 +146,7 @@ public: sqrtf(varianceVector[cOut] + epsilon)) + betaVector[cOut]; } } - ConstTensor fusedBiasTensor(TensorInfo({outputChannels}, ArmnnType), fusedBiasVector); + ConstTensor fusedBiasTensor(TensorInfo({outputChannels}, ArmnnType, 0.0f, 0, true), fusedBiasVector); // Insert the new convolution layer that has batch norm parameters fused into const std::string name = std::string("fused-") + child.GetName() + std::string("-into-") + base.GetName(); |