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Diffstat (limited to 'src/armnn/layers/BatchNormalizationLayer.hpp')
-rw-r--r-- | src/armnn/layers/BatchNormalizationLayer.hpp | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/src/armnn/layers/BatchNormalizationLayer.hpp b/src/armnn/layers/BatchNormalizationLayer.hpp index bf9e4b7917..2777633a34 100644 --- a/src/armnn/layers/BatchNormalizationLayer.hpp +++ b/src/armnn/layers/BatchNormalizationLayer.hpp @@ -9,20 +9,20 @@ namespace armnn { -class ScopedCpuTensorHandle; +class ScopedTensorHandle; /// This layer represents a batch normalization operation. class BatchNormalizationLayer : public LayerWithParameters<BatchNormalizationDescriptor> { public: /// A unique pointer to store Mean values - std::shared_ptr<ConstCpuTensorHandle> m_Mean; + std::shared_ptr<ConstTensorHandle> m_Mean; /// A unique pointer to store Variance values - std::shared_ptr<ConstCpuTensorHandle> m_Variance; + std::shared_ptr<ConstTensorHandle> m_Variance; /// A unique pointer to store Beta values - std::shared_ptr<ConstCpuTensorHandle> m_Beta; + std::shared_ptr<ConstTensorHandle> m_Beta; /// A unique pointer to store Gamma values - std::shared_ptr<ConstCpuTensorHandle> m_Gamma; + std::shared_ptr<ConstTensorHandle> m_Gamma; /// Makes a workload for the BatchNormalization type. /// @param [in] graph The graph where this layer can be found. |