Definition at line 20 of file ROperator_Reshape.hxx.
#include <TMVA/ROperator_Reshape.hxx>
◆ ROperator_Reshape() [1/3]
| TMVA::Experimental::SOFIE::ROperator_Reshape::ROperator_Reshape |
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◆ ROperator_Reshape() [2/3]
| TMVA::Experimental::SOFIE::ROperator_Reshape::ROperator_Reshape |
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ReshapeOpMode | opMode, |
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int | attr_value, |
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std::string | nameData, |
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std::string | nameInput2, |
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std::string | nameOutput ) |
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◆ ROperator_Reshape() [3/3]
| TMVA::Experimental::SOFIE::ROperator_Reshape::ROperator_Reshape |
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ReshapeOpMode | opMode, |
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std::vector< int64_t > | attrAxes, |
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std::string | nameData, |
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std::string | nameOutput ) |
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◆ DoShapeInference()
| std::vector< Dim > TMVA::Experimental::SOFIE::ROperator_Reshape::DoShapeInference |
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const std::vector< Dim > & | input_shape, |
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const std::vector< Dim > & | target_shape ) |
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◆ Generate()
| std::string TMVA::Experimental::SOFIE::ROperator_Reshape::Generate |
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std::string | opName | ) |
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◆ GenerateDeclCode()
| virtual std::string TMVA::Experimental::SOFIE::ROperator::GenerateDeclCode |
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◆ GenerateInitCode()
| virtual std::string TMVA::Experimental::SOFIE::ROperator::GenerateInitCode |
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inlinevirtualinherited |
Reimplemented in TMVA::Experimental::SOFIE::ROperator_BasicBinary< T, Op >, TMVA::Experimental::SOFIE::ROperator_Conv< T >, TMVA::Experimental::SOFIE::ROperator_ConvTranspose< T >, TMVA::Experimental::SOFIE::ROperator_Einsum< T >, TMVA::Experimental::SOFIE::ROperator_Expand< T >, TMVA::Experimental::SOFIE::ROperator_Identity< T >, TMVA::Experimental::SOFIE::ROperator_LayerNormalization< T >, TMVA::Experimental::SOFIE::ROperator_Pool< T >, TMVA::Experimental::SOFIE::ROperator_Random, TMVA::Experimental::SOFIE::ROperator_ScatterElements, and TMVA::Experimental::SOFIE::ROperator_Where< T >.
Definition at line 29 of file ROperator.hxx.
◆ GenerateSessionMembersCode()
| virtual std::string TMVA::Experimental::SOFIE::ROperator::GenerateSessionMembersCode |
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std::string | | ) |
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◆ GetBlasRoutines()
| virtual std::vector< std::string > TMVA::Experimental::SOFIE::ROperator::GetBlasRoutines |
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◆ GetOpInputTensors()
| std::span< const std::string_view > TMVA::Experimental::SOFIE::ROperator::GetOpInputTensors |
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◆ GetOpOutputTensors()
| std::span< const std::string_view > TMVA::Experimental::SOFIE::ROperator::GetOpOutputTensors |
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◆ GetStdLibs()
| virtual std::vector< std::string > TMVA::Experimental::SOFIE::ROperator::GetStdLibs |
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inlinevirtualinherited |
Reimplemented in TMVA::Experimental::SOFIE::ROperator_Basic_Is< Op >, TMVA::Experimental::SOFIE::ROperator_BasicBinary< T, Op >, TMVA::Experimental::SOFIE::ROperator_BasicNary< T, Op >, TMVA::Experimental::SOFIE::ROperator_BasicUnary< T, Op >, TMVA::Experimental::SOFIE::ROperator_Erf< T >, TMVA::Experimental::SOFIE::ROperator_Gelu, TMVA::Experimental::SOFIE::ROperator_LayerNormalization< T >, TMVA::Experimental::SOFIE::ROperator_Random, TMVA::Experimental::SOFIE::ROperator_Selu< T >, TMVA::Experimental::SOFIE::ROperator_Sigmoid< T >, TMVA::Experimental::SOFIE::ROperator_Softmax, TMVA::Experimental::SOFIE::ROperator_Swish< T >, and TMVA::Experimental::SOFIE::ROperator_Tanh< T >.
Definition at line 23 of file ROperator.hxx.
◆ Header()
| virtual std::string TMVA::Experimental::SOFIE::ROperator::Header |
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◆ Initialize()
| void TMVA::Experimental::SOFIE::ROperator_Reshape::Initialize |
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RModel & | model | ) |
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◆ IsOutputConstant()
| bool TMVA::Experimental::SOFIE::ROperator::IsOutputConstant |
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check if the output of the operator is Constant and is evaluated at initialization time
Definition at line 37 of file ROperator.hxx.
◆ Name()
| std::string TMVA::Experimental::SOFIE::ROperator_Reshape::Name |
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◆ ShapeInference()
| virtual std::vector< std::vector< size_t > > TMVA::Experimental::SOFIE::ROperator::ShapeInference |
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std::vector< std::vector< size_t > > | | ) |
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Reimplemented in TMVA::Experimental::SOFIE::ROperator_BasicBinary< T, Op >, TMVA::Experimental::SOFIE::ROperator_BasicNary< T, Op >, TMVA::Experimental::SOFIE::ROperator_BasicUnary< T, Op >, TMVA::Experimental::SOFIE::ROperator_BatchNormalization< T >, TMVA::Experimental::SOFIE::ROperator_Cast, TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >, TMVA::Experimental::SOFIE::ROperator_Constant< T >, TMVA::Experimental::SOFIE::ROperator_Einsum< T >, TMVA::Experimental::SOFIE::ROperator_Elu< T >, TMVA::Experimental::SOFIE::ROperator_Erf< T >, TMVA::Experimental::SOFIE::ROperator_EyeLike, TMVA::Experimental::SOFIE::ROperator_Gather, TMVA::Experimental::SOFIE::ROperator_Gemm< T >, TMVA::Experimental::SOFIE::ROperator_Identity< T >, TMVA::Experimental::SOFIE::ROperator_LayerNormalization< T >, TMVA::Experimental::SOFIE::ROperator_LeakyRelu< T >, TMVA::Experimental::SOFIE::ROperator_LSTM< T >, TMVA::Experimental::SOFIE::ROperator_Pad< T >, TMVA::Experimental::SOFIE::ROperator_Pool< T >, TMVA::Experimental::SOFIE::ROperator_Random, TMVA::Experimental::SOFIE::ROperator_Relu< T >, TMVA::Experimental::SOFIE::ROperator_RNN< T >, TMVA::Experimental::SOFIE::ROperator_Selu< T >, TMVA::Experimental::SOFIE::ROperator_Sigmoid< T >, TMVA::Experimental::SOFIE::ROperator_Softmax, TMVA::Experimental::SOFIE::ROperator_Split, TMVA::Experimental::SOFIE::ROperator_If, TMVA::Experimental::SOFIE::ROperator_Swish< T >, TMVA::Experimental::SOFIE::ROperator_Tanh< T >, TMVA::Experimental::SOFIE::ROperator_Transpose, TMVA::Experimental::SOFIE::ROperator_Where< T >, TMVA::Experimental::SOFIE::ROperator_Concat, TMVA::Experimental::SOFIE::ROperator_ConvTranspose< T >, TMVA::Experimental::SOFIE::ROperator_Custom< T >, and TMVA::Experimental::SOFIE::ROperator_GRU< T >.
Definition at line 24 of file ROperator.hxx.
◆ TypeInference()
Reimplemented in TMVA::Experimental::SOFIE::ROperator_BasicBinary< T, Op >, TMVA::Experimental::SOFIE::ROperator_BasicNary< T, Op >, TMVA::Experimental::SOFIE::ROperator_BasicUnary< T, Op >, TMVA::Experimental::SOFIE::ROperator_BatchNormalization< T >, TMVA::Experimental::SOFIE::ROperator_Cast, TMVA::Experimental::SOFIE::ROperator_Comparision< T, Op >, TMVA::Experimental::SOFIE::ROperator_Concat, TMVA::Experimental::SOFIE::ROperator_Constant< T >, TMVA::Experimental::SOFIE::ROperator_Conv< T >, TMVA::Experimental::SOFIE::ROperator_ConvTranspose< T >, TMVA::Experimental::SOFIE::ROperator_Einsum< T >, TMVA::Experimental::SOFIE::ROperator_Elu< T >, TMVA::Experimental::SOFIE::ROperator_Erf< T >, TMVA::Experimental::SOFIE::ROperator_EyeLike, TMVA::Experimental::SOFIE::ROperator_Gather, TMVA::Experimental::SOFIE::ROperator_Gemm< T >, TMVA::Experimental::SOFIE::ROperator_Identity< T >, TMVA::Experimental::SOFIE::ROperator_LayerNormalization< T >, TMVA::Experimental::SOFIE::ROperator_LeakyRelu< T >, TMVA::Experimental::SOFIE::ROperator_LSTM< T >, TMVA::Experimental::SOFIE::ROperator_Pad< T >, TMVA::Experimental::SOFIE::ROperator_Pool< T >, TMVA::Experimental::SOFIE::ROperator_Random, TMVA::Experimental::SOFIE::ROperator_Relu< T >, TMVA::Experimental::SOFIE::ROperator_RNN< T >, TMVA::Experimental::SOFIE::ROperator_Selu< T >, TMVA::Experimental::SOFIE::ROperator_Sigmoid< T >, TMVA::Experimental::SOFIE::ROperator_Softmax, TMVA::Experimental::SOFIE::ROperator_Split, TMVA::Experimental::SOFIE::ROperator_If, TMVA::Experimental::SOFIE::ROperator_Swish< T >, TMVA::Experimental::SOFIE::ROperator_Tanh< T >, TMVA::Experimental::SOFIE::ROperator_Tile< T >, TMVA::Experimental::SOFIE::ROperator_TopK< T >, TMVA::Experimental::SOFIE::ROperator_Transpose, TMVA::Experimental::SOFIE::ROperator_Where< T >, TMVA::Experimental::SOFIE::ROperator_Custom< T >, and TMVA::Experimental::SOFIE::ROperator_GRU< T >.
Definition at line 25 of file ROperator.hxx.
◆ fAllowZero
| int TMVA::Experimental::SOFIE::ROperator_Reshape::fAllowZero = 0 |
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◆ fAttrAxes
| std::vector<int64_t> TMVA::Experimental::SOFIE::ROperator_Reshape::fAttrAxes |
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◆ fAxis
| int TMVA::Experimental::SOFIE::ROperator_Reshape::fAxis = 1 |
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◆ fDimInput
| bool TMVA::Experimental::SOFIE::ROperator_Reshape::fDimInput = false |
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◆ fDynamicShape
| bool TMVA::Experimental::SOFIE::ROperator_Reshape::fDynamicShape = false |
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◆ fInputTensorNames
| std::vector<std::string_view> TMVA::Experimental::SOFIE::ROperator::fInputTensorNames |
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◆ fIsOutputConstant
| bool TMVA::Experimental::SOFIE::ROperator::fIsOutputConstant = false |
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flag to identify if operator has a constant output (no need to generate code)
Definition at line 47 of file ROperator.hxx.
◆ fIsOutputParamShape
| bool TMVA::Experimental::SOFIE::ROperator::fIsOutputParamShape = false |
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flag to identify of the output represents a parametric shape (can be known at compile time)
Definition at line 48 of file ROperator.hxx.
◆ fNData
| std::string TMVA::Experimental::SOFIE::ROperator_Reshape::fNData |
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◆ fNInput2
| std::string TMVA::Experimental::SOFIE::ROperator_Reshape::fNInput2 |
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◆ fNOutput
| std::string TMVA::Experimental::SOFIE::ROperator_Reshape::fNOutput |
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◆ fOpMode
◆ fOutputShapeData
| std::vector<Dim> TMVA::Experimental::SOFIE::ROperator_Reshape::fOutputShapeData |
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◆ fOutputTensorNames
| std::vector<std::string_view> TMVA::Experimental::SOFIE::ROperator::fOutputTensorNames |
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◆ fShape
| std::vector<int64_t> TMVA::Experimental::SOFIE::ROperator_Reshape::fShape |
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◆ fShapeInput
| std::vector<Dim> TMVA::Experimental::SOFIE::ROperator_Reshape::fShapeInput |
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◆ fShapeOutput
| std::vector<Dim> TMVA::Experimental::SOFIE::ROperator_Reshape::fShapeOutput |
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◆ fUseSession
| bool TMVA::Experimental::SOFIE::ROperator::fUseSession = false |
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flag to identify if using the session class
Definition at line 46 of file ROperator.hxx.
◆ fVerbose
| bool TMVA::Experimental::SOFIE::ROperator_Reshape::fVerbose = false |
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◆ SP
| const std::string TMVA::Experimental::SOFIE::ROperator::SP = " " |
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space used to correctly indent the generated C++ code
Definition at line 45 of file ROperator.hxx.
The documentation for this class was generated from the following file: