diff options
Diffstat (limited to 'src/armnn/Network.cpp')
| -rw-r--r-- | src/armnn/Network.cpp | 24 |
1 files changed, 12 insertions, 12 deletions
diff --git a/src/armnn/Network.cpp b/src/armnn/Network.cpp index b30cd9f3c2..932f9eb49e 100644 --- a/src/armnn/Network.cpp +++ b/src/armnn/Network.cpp @@ -1468,33 +1468,33 @@ IConnectableLayer* Network::AddQuantizedLstmLayer(const QuantizedLstmInputParams // InputToX weights layer->m_QuantizedLstmParameters.m_InputToInputWeights = - std::make_unique<ScopedCpuTensorHandle>(params.get_InputToInputWeights()); + std::make_unique<ScopedCpuTensorHandle>(params.GetInputToInputWeights()); layer->m_QuantizedLstmParameters.m_InputToForgetWeights = - std::make_unique<ScopedCpuTensorHandle>(params.get_InputToForgetWeights()); + std::make_unique<ScopedCpuTensorHandle>(params.GetInputToForgetWeights()); layer->m_QuantizedLstmParameters.m_InputToCellWeights = - std::make_unique<ScopedCpuTensorHandle>(params.get_InputToCellWeights()); + std::make_unique<ScopedCpuTensorHandle>(params.GetInputToCellWeights()); layer->m_QuantizedLstmParameters.m_InputToOutputWeights = - std::make_unique<ScopedCpuTensorHandle>(params.get_InputToOutputWeights()); + std::make_unique<ScopedCpuTensorHandle>(params.GetInputToOutputWeights()); // RecurrentToX weights layer->m_QuantizedLstmParameters.m_RecurrentToInputWeights = - std::make_unique<ScopedCpuTensorHandle>(params.get_RecurrentToInputWeights()); + std::make_unique<ScopedCpuTensorHandle>(params.GetRecurrentToInputWeights()); layer->m_QuantizedLstmParameters.m_RecurrentToForgetWeights = - std::make_unique<ScopedCpuTensorHandle>(params.get_RecurrentToForgetWeights()); + std::make_unique<ScopedCpuTensorHandle>(params.GetRecurrentToForgetWeights()); layer->m_QuantizedLstmParameters.m_RecurrentToCellWeights = - std::make_unique<ScopedCpuTensorHandle>(params.get_RecurrentToCellWeights()); + std::make_unique<ScopedCpuTensorHandle>(params.GetRecurrentToCellWeights()); layer->m_QuantizedLstmParameters.m_RecurrentToOutputWeights = - std::make_unique<ScopedCpuTensorHandle>(params.get_RecurrentToOutputWeights()); + std::make_unique<ScopedCpuTensorHandle>(params.GetRecurrentToOutputWeights()); // Bias layer->m_QuantizedLstmParameters.m_InputGateBias = - std::make_unique<ScopedCpuTensorHandle>(params.get_InputGateBias()); + std::make_unique<ScopedCpuTensorHandle>(params.GetInputGateBias()); layer->m_QuantizedLstmParameters.m_ForgetGateBias = - std::make_unique<ScopedCpuTensorHandle>(params.get_ForgetGateBias()); + std::make_unique<ScopedCpuTensorHandle>(params.GetForgetGateBias()); layer->m_QuantizedLstmParameters.m_CellBias = - std::make_unique<ScopedCpuTensorHandle>(params.get_CellBias()); + std::make_unique<ScopedCpuTensorHandle>(params.GetCellBias()); layer->m_QuantizedLstmParameters.m_OutputGateBias = - std::make_unique<ScopedCpuTensorHandle>(params.get_OutputGateBias()); + std::make_unique<ScopedCpuTensorHandle>(params.GetOutputGateBias()); return layer; } |