From de36e4a9c299028e792c3a5bd99ad0816d806077 Mon Sep 17 00:00:00 2001 From: Ryan OShea Date: Fri, 13 Mar 2020 16:26:19 +0000 Subject: IVGCVSW-3726 Upload ArmNN Doxygen files * Upload current ArmNN Doxygen files Signed-off-by: Ryan OShea Change-Id: I8989ed16ee40a99a4495b100bd009cf3e24a7285 --- .../structarmnn_1_1_lstm_basic_parameters.xhtml | 336 +++++++++++++++++++++ 1 file changed, 336 insertions(+) create mode 100644 Documentation/structarmnn_1_1_lstm_basic_parameters.xhtml (limited to 'Documentation/structarmnn_1_1_lstm_basic_parameters.xhtml') diff --git a/Documentation/structarmnn_1_1_lstm_basic_parameters.xhtml b/Documentation/structarmnn_1_1_lstm_basic_parameters.xhtml new file mode 100644 index 0000000000..3765f4167a --- /dev/null +++ b/Documentation/structarmnn_1_1_lstm_basic_parameters.xhtml @@ -0,0 +1,336 @@ + + + + + + + + + + + + + +ArmNN: LstmBasicParameters Struct Reference + + + + + + + + + + + + + + + + +
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LstmBasicParameters Struct Reference
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#include <LstmLayer.hpp>

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std::unique_ptr< ScopedCpuTensorHandlem_InputToForgetWeights
 A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units]. More...
 
std::unique_ptr< ScopedCpuTensorHandlem_InputToCellWeights
 A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units]. More...
 
std::unique_ptr< ScopedCpuTensorHandlem_InputToOutputWeights
 A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units]. More...
 
std::unique_ptr< ScopedCpuTensorHandlem_RecurrentToForgetWeights
 A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units]. More...
 
std::unique_ptr< ScopedCpuTensorHandlem_RecurrentToCellWeights
 A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units]. More...
 
std::unique_ptr< ScopedCpuTensorHandlem_RecurrentToOutputWeights
 A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units]. More...
 
std::unique_ptr< ScopedCpuTensorHandlem_ForgetGateBias
 A unique pointer to represent 1D weights tensor with dimensions [num_units]. More...
 
std::unique_ptr< ScopedCpuTensorHandlem_CellBias
 A unique pointer to represent 1D weights tensor with dimensions [num_units]. More...
 
std::unique_ptr< ScopedCpuTensorHandlem_OutputGateBias
 A unique pointer to represent 1D weights tensor with dimensions [num_units]. More...
 
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Detailed Description

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Definition at line 54 of file LstmLayer.hpp.

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Member Data Documentation

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◆ m_CellBias

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std::unique_ptr<ScopedCpuTensorHandle> m_CellBias
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A unique pointer to represent 1D weights tensor with dimensions [num_units].

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Definition at line 71 of file LstmLayer.hpp.

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Referenced by LstmLayer::Accept(), LstmLayer::Clone(), LstmLayer::CreateWorkload(), LstmLayer::GetConstantTensorsByRef(), and LstmLayer::ValidateTensorShapesFromInputs().

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◆ m_ForgetGateBias

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std::unique_ptr<ScopedCpuTensorHandle> m_ForgetGateBias
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A unique pointer to represent 1D weights tensor with dimensions [num_units].

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Definition at line 69 of file LstmLayer.hpp.

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Referenced by LstmLayer::Accept(), LstmLayer::Clone(), LstmLayer::CreateWorkload(), LstmLayer::GetConstantTensorsByRef(), and LstmLayer::ValidateTensorShapesFromInputs().

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◆ m_InputToCellWeights

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std::unique_ptr<ScopedCpuTensorHandle> m_InputToCellWeights
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A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].

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Definition at line 59 of file LstmLayer.hpp.

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Referenced by LstmLayer::Accept(), LstmLayer::Clone(), LstmLayer::CreateWorkload(), LstmLayer::GetConstantTensorsByRef(), and LstmLayer::ValidateTensorShapesFromInputs().

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◆ m_InputToForgetWeights

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std::unique_ptr<ScopedCpuTensorHandle> m_InputToForgetWeights
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A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].

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Definition at line 57 of file LstmLayer.hpp.

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Referenced by LstmLayer::Accept(), Network::AddLstmLayer(), LstmLayer::Clone(), LstmLayer::CreateWorkload(), LstmLayer::GetConstantTensorsByRef(), and LstmLayer::ValidateTensorShapesFromInputs().

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◆ m_InputToOutputWeights

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std::unique_ptr<ScopedCpuTensorHandle> m_InputToOutputWeights
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A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].

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Definition at line 61 of file LstmLayer.hpp.

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Referenced by LstmLayer::Accept(), LstmLayer::Clone(), LstmLayer::CreateWorkload(), LstmLayer::GetConstantTensorsByRef(), and LstmLayer::ValidateTensorShapesFromInputs().

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◆ m_OutputGateBias

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std::unique_ptr<ScopedCpuTensorHandle> m_OutputGateBias
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A unique pointer to represent 1D weights tensor with dimensions [num_units].

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Definition at line 73 of file LstmLayer.hpp.

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Referenced by LstmLayer::Accept(), LstmLayer::Clone(), LstmLayer::CreateWorkload(), LstmLayer::GetConstantTensorsByRef(), and LstmLayer::ValidateTensorShapesFromInputs().

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◆ m_RecurrentToCellWeights

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std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToCellWeights
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A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].

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Definition at line 65 of file LstmLayer.hpp.

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Referenced by LstmLayer::Accept(), LstmLayer::Clone(), LstmLayer::CreateWorkload(), LstmLayer::GetConstantTensorsByRef(), and LstmLayer::ValidateTensorShapesFromInputs().

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◆ m_RecurrentToForgetWeights

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std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToForgetWeights
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A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].

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Definition at line 63 of file LstmLayer.hpp.

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Referenced by LstmLayer::Accept(), LstmLayer::Clone(), LstmLayer::CreateWorkload(), LstmLayer::GetConstantTensorsByRef(), and LstmLayer::ValidateTensorShapesFromInputs().

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◆ m_RecurrentToOutputWeights

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std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToOutputWeights
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A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].

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Definition at line 67 of file LstmLayer.hpp.

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Referenced by LstmLayer::Accept(), LstmLayer::Clone(), LstmLayer::CreateWorkload(), LstmLayer::GetConstantTensorsByRef(), and LstmLayer::ValidateTensorShapesFromInputs().

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The documentation for this struct was generated from the following file: +
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