diff options
Diffstat (limited to 'src/armnn/layers/QuantizedLstmLayer.hpp')
-rw-r--r-- | src/armnn/layers/QuantizedLstmLayer.hpp | 24 |
1 files changed, 12 insertions, 12 deletions
diff --git a/src/armnn/layers/QuantizedLstmLayer.hpp b/src/armnn/layers/QuantizedLstmLayer.hpp index 544acbd816..ca97a6bb65 100644 --- a/src/armnn/layers/QuantizedLstmLayer.hpp +++ b/src/armnn/layers/QuantizedLstmLayer.hpp @@ -14,31 +14,31 @@ class ScopedCpuTensorHandle; struct QuantizedLstmParameters { /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8). - std::unique_ptr<ScopedCpuTensorHandle> m_InputToInputWeights; + std::shared_ptr<ConstCpuTensorHandle> m_InputToInputWeights; /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8). - std::unique_ptr<ScopedCpuTensorHandle> m_InputToForgetWeights; + std::shared_ptr<ConstCpuTensorHandle> m_InputToForgetWeights; /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8). - std::unique_ptr<ScopedCpuTensorHandle> m_InputToCellWeights; + std::shared_ptr<ConstCpuTensorHandle> m_InputToCellWeights; /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8). - std::unique_ptr<ScopedCpuTensorHandle> m_InputToOutputWeights; + std::shared_ptr<ConstCpuTensorHandle> m_InputToOutputWeights; /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8). - std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToInputWeights; + std::shared_ptr<ConstCpuTensorHandle> m_RecurrentToInputWeights; /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8). - std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToForgetWeights; + std::shared_ptr<ConstCpuTensorHandle> m_RecurrentToForgetWeights; /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8). - std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToCellWeights; + std::shared_ptr<ConstCpuTensorHandle> m_RecurrentToCellWeights; /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8). - std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToOutputWeights; + std::shared_ptr<ConstCpuTensorHandle> m_RecurrentToOutputWeights; /// A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32). - std::unique_ptr<ScopedCpuTensorHandle> m_InputGateBias; + std::shared_ptr<ConstCpuTensorHandle> m_InputGateBias; /// A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32). - std::unique_ptr<ScopedCpuTensorHandle> m_ForgetGateBias; + std::shared_ptr<ConstCpuTensorHandle> m_ForgetGateBias; /// A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32). - std::unique_ptr<ScopedCpuTensorHandle> m_CellBias; + std::shared_ptr<ConstCpuTensorHandle> m_CellBias; /// A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32). - std::unique_ptr<ScopedCpuTensorHandle> m_OutputGateBias; + std::shared_ptr<ConstCpuTensorHandle> m_OutputGateBias; }; /// This layer represents a QuantizedLstm operation. |