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author | Finn Williams <Finn.Williams@arm.com> | 2021-03-22 17:51:06 +0000 |
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committer | finn.williams <finn.williams@arm.com> | 2021-04-07 16:42:38 +0000 |
commit | 4422ceca976a88aac49b21808a43e465bc87a35e (patch) | |
tree | d4f7f3d86394f74b679c907ad3f7fc7f4537933f /src/armnn/layers/QuantizedLstmLayer.hpp | |
parent | b70ec417989490a2a72c66ecd6c737df1c094f4c (diff) | |
download | armnn-4422ceca976a88aac49b21808a43e465bc87a35e.tar.gz |
Fix graph copy memory spike
* Change layer storage of ConstTensors to std::shared_ptr<ConstCpuTensorHandle>
* Change clone to share ConstTensor rather than copy
* Remove uses of non-const GetTensor() call
* Reduce scope of non-optimized network in ExeNet, so memory can be released after use
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: Ibb2c7309d12411d21405bd6024c76bcdf5404545
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. |