From 6940dd720ebb6b3d1df8ca203ab696daefe58189 Mon Sep 17 00:00:00 2001 From: Jim Flynn Date: Fri, 20 Mar 2020 12:25:56 +0000 Subject: renamed Documentation folder 20.02 and added .nojekyll file Signed-off-by: Jim Flynn --- ...structarmnn_1_1_quantized_lstm_parameters.xhtml | 405 +++++++++++++++++++++ 1 file changed, 405 insertions(+) create mode 100644 20.02/structarmnn_1_1_quantized_lstm_parameters.xhtml (limited to '20.02/structarmnn_1_1_quantized_lstm_parameters.xhtml') diff --git a/20.02/structarmnn_1_1_quantized_lstm_parameters.xhtml b/20.02/structarmnn_1_1_quantized_lstm_parameters.xhtml new file mode 100644 index 0000000000..ccd20f6fe4 --- /dev/null +++ b/20.02/structarmnn_1_1_quantized_lstm_parameters.xhtml @@ -0,0 +1,405 @@ + + + + + + + + + + + + + +ArmNN: QuantizedLstmParameters Struct Reference + + + + + + + + + + + + + + + + +
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+Public Attributes | +List of all members
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QuantizedLstmParameters Struct Reference
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#include <QuantizedLstmLayer.hpp>

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+Public Attributes

std::unique_ptr< ScopedCpuTensorHandle > m_InputToInputWeights
 A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8). More...
 
std::unique_ptr< ScopedCpuTensorHandle > m_InputToForgetWeights
 A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8). More...
 
std::unique_ptr< ScopedCpuTensorHandle > m_InputToCellWeights
 A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8). More...
 
std::unique_ptr< ScopedCpuTensorHandle > m_InputToOutputWeights
 A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8). More...
 
std::unique_ptr< ScopedCpuTensorHandle > m_RecurrentToInputWeights
 A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8). More...
 
std::unique_ptr< ScopedCpuTensorHandle > m_RecurrentToForgetWeights
 A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8). More...
 
std::unique_ptr< ScopedCpuTensorHandle > m_RecurrentToCellWeights
 A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8). More...
 
std::unique_ptr< ScopedCpuTensorHandle > m_RecurrentToOutputWeights
 A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8). More...
 
std::unique_ptr< ScopedCpuTensorHandle > m_InputGateBias
 A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32). More...
 
std::unique_ptr< ScopedCpuTensorHandle > m_ForgetGateBias
 A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32). More...
 
std::unique_ptr< ScopedCpuTensorHandle > m_CellBias
 A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32). More...
 
std::unique_ptr< ScopedCpuTensorHandle > m_OutputGateBias
 A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32). More...
 
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Detailed Description

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Definition at line 14 of file QuantizedLstmLayer.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 bias tensor with dimensions [outputSize] (int32).

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Definition at line 39 of file QuantizedLstmLayer.hpp.

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Referenced by QuantizedLstmLayer::Accept(), QuantizedLstmLayer::Clone(), QuantizedLstmLayer::CreateWorkload(), QuantizedLstmLayer::GetConstantTensorsByRef(), and QuantizedLstmLayer::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 bias tensor with dimensions [outputSize] (int32).

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Definition at line 37 of file QuantizedLstmLayer.hpp.

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

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◆ m_InputGateBias

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std::unique_ptr<ScopedCpuTensorHandle> m_InputGateBias
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A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).

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Definition at line 35 of file QuantizedLstmLayer.hpp.

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Referenced by QuantizedLstmLayer::Accept(), QuantizedLstmLayer::Clone(), QuantizedLstmLayer::CreateWorkload(), QuantizedLstmLayer::GetConstantTensorsByRef(), and QuantizedLstmLayer::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 [outputSize, inputSize] (QAsymm8).

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Definition at line 21 of file QuantizedLstmLayer.hpp.

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Referenced by QuantizedLstmLayer::Accept(), QuantizedLstmLayer::Clone(), QuantizedLstmLayer::CreateWorkload(), QuantizedLstmLayer::GetConstantTensorsByRef(), and QuantizedLstmLayer::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 [outputSize, inputSize] (QAsymm8).

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Definition at line 19 of file QuantizedLstmLayer.hpp.

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

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◆ m_InputToInputWeights

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std::unique_ptr<ScopedCpuTensorHandle> m_InputToInputWeights
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A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).

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Definition at line 17 of file QuantizedLstmLayer.hpp.

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Referenced by QuantizedLstmLayer::Accept(), Network::AddQuantizedLstmLayer(), QuantizedLstmLayer::Clone(), QuantizedLstmLayer::CreateWorkload(), QuantizedLstmLayer::GetConstantTensorsByRef(), and QuantizedLstmLayer::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 [outputSize, inputSize] (QAsymm8).

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Definition at line 23 of file QuantizedLstmLayer.hpp.

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Referenced by QuantizedLstmLayer::Accept(), QuantizedLstmLayer::Clone(), QuantizedLstmLayer::CreateWorkload(), QuantizedLstmLayer::GetConstantTensorsByRef(), and QuantizedLstmLayer::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 bias tensor with dimensions [outputSize] (int32).

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Definition at line 41 of file QuantizedLstmLayer.hpp.

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Referenced by QuantizedLstmLayer::Accept(), QuantizedLstmLayer::Clone(), QuantizedLstmLayer::CreateWorkload(), QuantizedLstmLayer::GetConstantTensorsByRef(), and QuantizedLstmLayer::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 [outputSize, outputSize] (QAsymm8).

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Definition at line 30 of file QuantizedLstmLayer.hpp.

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Referenced by QuantizedLstmLayer::Accept(), QuantizedLstmLayer::Clone(), QuantizedLstmLayer::CreateWorkload(), QuantizedLstmLayer::GetConstantTensorsByRef(), and QuantizedLstmLayer::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 [outputSize, outputSize] (QAsymm8).

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Definition at line 28 of file QuantizedLstmLayer.hpp.

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

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◆ m_RecurrentToInputWeights

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std::unique_ptr<ScopedCpuTensorHandle> m_RecurrentToInputWeights
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A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).

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Definition at line 26 of file QuantizedLstmLayer.hpp.

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Referenced by QuantizedLstmLayer::Accept(), QuantizedLstmLayer::Clone(), QuantizedLstmLayer::CreateWorkload(), QuantizedLstmLayer::GetConstantTensorsByRef(), and QuantizedLstmLayer::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 [outputSize, outputSize] (QAsymm8).

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Definition at line 32 of file QuantizedLstmLayer.hpp.

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

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