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ROOT 6.16/01 Reference Guide |
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ROOT 6.16/01 Reference Guide |
This is the complete list of members for TMVA::DNN::TCuda< AFloat >, including all inherited members.
| AdamUpdate(TCudaMatrix< AFloat > &A, const TCudaMatrix< AFloat > &M, const TCudaMatrix< AFloat > &V, AFloat alpha, AFloat eps) | TMVA::DNN::TCuda< AFloat > | static |
| AdamUpdateFirstMom(TCudaMatrix< AFloat > &A, const TCudaMatrix< AFloat > &B, AFloat beta) | TMVA::DNN::TCuda< AFloat > | static |
| AdamUpdateSecondMom(TCudaMatrix< AFloat > &A, const TCudaMatrix< AFloat > &B, AFloat beta) | TMVA::DNN::TCuda< AFloat > | static |
| AddConvBiases(TCudaMatrix< AFloat > &output, const TCudaMatrix< AFloat > &biases) | TMVA::DNN::TCuda< AFloat > | static |
| AddL1RegularizationGradients(TCudaMatrix< AFloat > &A, const TCudaMatrix< AFloat > &W, AFloat weightDecay) | TMVA::DNN::TCuda< AFloat > | static |
| AddL2RegularizationGradients(TCudaMatrix< AFloat > &A, const TCudaMatrix< AFloat > &W, AFloat weightDecay) | TMVA::DNN::TCuda< AFloat > | static |
| AddRowWise(TCudaMatrix< AFloat > &output, const TCudaMatrix< AFloat > &biases) | TMVA::DNN::TCuda< AFloat > | static |
| AlmostEquals(const TCudaMatrix< AFloat > &A, const TCudaMatrix< AFloat > &B, double epsilon=0.1) | TMVA::DNN::TCuda< AFloat > | static |
| Backward(TCudaMatrix< AFloat > &activationGradientsBackward, TCudaMatrix< AFloat > &weightGradients, TCudaMatrix< AFloat > &biasGradients, TCudaMatrix< AFloat > &df, const TCudaMatrix< AFloat > &activationGradients, const TCudaMatrix< AFloat > &weights, const TCudaMatrix< AFloat > &activationBackward) | TMVA::DNN::TCuda< AFloat > | static |
| CalculateConvActivationGradients(std::vector< TCudaMatrix< AFloat > > &activationGradientsBackward, std::vector< TCudaMatrix< AFloat > > &df, const TCudaMatrix< AFloat > &weights, size_t batchSize, size_t inputHeight, size_t inputWidth, size_t depth, size_t height, size_t width, size_t filterDepth, size_t filterHeight, size_t filterWidth) | TMVA::DNN::TCuda< AFloat > | static |
| CalculateConvBiasGradients(TCudaMatrix< AFloat > &biasGradients, std::vector< TCudaMatrix< AFloat > > &df, size_t batchSize, size_t depth, size_t nLocalViews) | TMVA::DNN::TCuda< AFloat > | static |
| CalculateConvWeightGradients(TCudaMatrix< AFloat > &weightGradients, std::vector< TCudaMatrix< AFloat > > &df, const std::vector< TCudaMatrix< AFloat > > &activations_backward, size_t batchSize, size_t inputHeight, size_t inputWidth, size_t depth, size_t height, size_t width, size_t filterDepth, size_t filterHeight, size_t filterWidth, size_t nLocalViews) | TMVA::DNN::TCuda< AFloat > | static |
| calculateDimension(size_t imgDim, size_t fltDim, size_t padding, size_t stride) | TMVA::DNN::TCuda< AFloat > | static |
| ConstAdd(TCudaMatrix< AFloat > &A, AFloat beta) | TMVA::DNN::TCuda< AFloat > | static |
| ConstMult(TCudaMatrix< AFloat > &A, AFloat beta) | TMVA::DNN::TCuda< AFloat > | static |
| ConvLayerBackward(std::vector< TCudaMatrix< AFloat > > &activationGradientsBackward, TCudaMatrix< AFloat > &weightGradients, TCudaMatrix< AFloat > &biasGradients, std::vector< TCudaMatrix< AFloat > > &df, const std::vector< TCudaMatrix< AFloat > > &activationGradients, const TCudaMatrix< AFloat > &weights, const std::vector< TCudaMatrix< AFloat > > &activationBackward, size_t batchSize, size_t inputHeight, size_t inputWidth, size_t depth, size_t height, size_t width, size_t filterDepth, size_t filterHeight, size_t filterWidth, size_t nLocalViews) | TMVA::DNN::TCuda< AFloat > | static |
| ConvLayerForward(std::vector< TCudaMatrix< AFloat > > &output, std::vector< TCudaMatrix< AFloat > > &derivatives, const std::vector< TCudaMatrix< AFloat > > &input, const TCudaMatrix< AFloat > &weights, const TCudaMatrix< AFloat > &biases, const DNN::CNN::TConvParams ¶ms, EActivationFunction activFunc, std::vector< TCudaMatrix< AFloat > > &inputPrime) | TMVA::DNN::TCuda< AFloat > | static |
| Copy(TCudaMatrix< AFloat > &B, const TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| Copy(std::vector< TCudaMatrix< Scalar_t > > &A, const std::vector< TCudaMatrix< Scalar_t > > &B) | TMVA::DNN::TCuda< AFloat > | static |
| CopyDiffArch(TCudaMatrix< Scalar_t > &B, const AMatrix_t &A) | TMVA::DNN::TCuda< AFloat > | static |
| CopyDiffArch(std::vector< TCudaMatrix< Scalar_t > > &A, const std::vector< AMatrix_t > &B) | TMVA::DNN::TCuda< AFloat > | static |
| CrossEntropy(const TCudaMatrix< AFloat > &Y, const TCudaMatrix< AFloat > &output, const TCudaMatrix< AFloat > &weights) | TMVA::DNN::TCuda< AFloat > | static |
| CrossEntropyGradients(TCudaMatrix< AFloat > &dY, const TCudaMatrix< AFloat > &Y, const TCudaMatrix< AFloat > &output, const TCudaMatrix< AFloat > &weights) | TMVA::DNN::TCuda< AFloat > | static |
| Deflatten(std::vector< TCudaMatrix< AFloat > > &A, const TCudaMatrix< AFloat > &B, size_t index, size_t nRows, size_t nCols) | TMVA::DNN::TCuda< AFloat > | static |
| DeviceBuffer_t typedef | TMVA::DNN::TCuda< AFloat > | |
| Downsample(TCudaMatrix< AFloat > &A, TCudaMatrix< AFloat > &B, const TCudaMatrix< AFloat > &C, size_t imgHeight, size_t imgWidth, size_t fltHeight, size_t fltWidth, size_t strideRows, size_t strideCols) | TMVA::DNN::TCuda< AFloat > | static |
| Dropout(TCudaMatrix< AFloat > &A, AFloat p) | TMVA::DNN::TCuda< AFloat > | static |
| fgRandomGen | TMVA::DNN::TCuda< AFloat > | privatestatic |
| Flatten(TCudaMatrix< AFloat > &A, const std::vector< TCudaMatrix< AFloat > > &B, size_t size, size_t nRows, size_t nCols) | TMVA::DNN::TCuda< AFloat > | static |
| Gauss(TCudaMatrix< AFloat > &B) | TMVA::DNN::TCuda< AFloat > | static |
| GaussDerivative(TCudaMatrix< AFloat > &B, const TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| GetRandomGenerator() | TMVA::DNN::TCuda< AFloat > | static |
| Hadamard(TCudaMatrix< AFloat > &A, const TCudaMatrix< AFloat > &B) | TMVA::DNN::TCuda< AFloat > | static |
| HostBuffer_t typedef | TMVA::DNN::TCuda< AFloat > | |
| Identity(TCudaMatrix< AFloat > &B) | TMVA::DNN::TCuda< AFloat > | static |
| IdentityDerivative(TCudaMatrix< AFloat > &B, const TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| Im2col(TCudaMatrix< AFloat > &A, const TCudaMatrix< AFloat > &B, size_t imgHeight, size_t imgWidth, size_t fltHeight, size_t fltWidth, size_t strideRows, size_t strideCols, size_t zeroPaddingHeight, size_t zeroPaddingWidth) | TMVA::DNN::TCuda< AFloat > | static |
| Im2colFast(TCudaMatrix< AFloat > &, const TCudaMatrix< AFloat > &, const std::vector< int > &) | TMVA::DNN::TCuda< AFloat > | inlinestatic |
| Im2colIndices(std::vector< int > &, const TCudaMatrix< AFloat > &, size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t) | TMVA::DNN::TCuda< AFloat > | inlinestatic |
| InitializeGauss(TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| InitializeGlorotNormal(TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| InitializeGlorotUniform(TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| InitializeIdentity(TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| InitializeUniform(TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| InitializeZero(TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| L1Regularization(const TCudaMatrix< AFloat > &W) | TMVA::DNN::TCuda< AFloat > | static |
| L2Regularization(const TCudaMatrix< AFloat > &W) | TMVA::DNN::TCuda< AFloat > | static |
| Matrix_t typedef | TMVA::DNN::TCuda< AFloat > | |
| MaxPoolLayerBackward(TCudaMatrix< AFloat > &activationGradientsBackward, const TCudaMatrix< AFloat > &activationGradients, const TCudaMatrix< AFloat > &indexMatrix, size_t imgHeight, size_t imgWidth, size_t fltHeight, size_t fltWidth, size_t strideRows, size_t strideCols, size_t nLocalViews) | TMVA::DNN::TCuda< AFloat > | static |
| MeanSquaredError(const TCudaMatrix< AFloat > &Y, const TCudaMatrix< AFloat > &output, const TCudaMatrix< AFloat > &weights) | TMVA::DNN::TCuda< AFloat > | static |
| MeanSquaredErrorGradients(TCudaMatrix< AFloat > &dY, const TCudaMatrix< AFloat > &Y, const TCudaMatrix< AFloat > &output, const TCudaMatrix< AFloat > &weights) | TMVA::DNN::TCuda< AFloat > | static |
| Multiply(TCudaMatrix< AFloat > &C, const TCudaMatrix< AFloat > &A, const TCudaMatrix< AFloat > &B) | TMVA::DNN::TCuda< AFloat > | static |
| MultiplyTranspose(TCudaMatrix< AFloat > &output, const TCudaMatrix< AFloat > &input, const TCudaMatrix< AFloat > &weights) | TMVA::DNN::TCuda< AFloat > | static |
| PrepareInternals(std::vector< TCudaMatrix< AFloat > > &inputPrime) | TMVA::DNN::TCuda< AFloat > | static |
| Rearrange(std::vector< TCudaMatrix< AFloat > > &out, const std::vector< TCudaMatrix< AFloat > > &in) | TMVA::DNN::TCuda< AFloat > | static |
| ReciprocalElementWise(TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| RecurrentLayerBackward(TCudaMatrix< AFloat > &state_gradients_backward, TCudaMatrix< AFloat > &input_weight_gradients, TCudaMatrix< AFloat > &state_weight_gradients, TCudaMatrix< AFloat > &bias_gradients, TCudaMatrix< AFloat > &df, const TCudaMatrix< AFloat > &state, const TCudaMatrix< AFloat > &weights_input, const TCudaMatrix< AFloat > &weights_state, const TCudaMatrix< AFloat > &input, TCudaMatrix< AFloat > &input_gradient) | TMVA::DNN::TCuda< AFloat > | static |
| Relu(TCudaMatrix< AFloat > &B) | TMVA::DNN::TCuda< AFloat > | static |
| ReluDerivative(TCudaMatrix< AFloat > &B, const TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| Reshape(TCudaMatrix< AFloat > &A, const TCudaMatrix< AFloat > &B) | TMVA::DNN::TCuda< AFloat > | static |
| RotateWeights(TCudaMatrix< AFloat > &A, const TCudaMatrix< AFloat > &B, size_t filterDepth, size_t filterHeight, size_t filterWidth, size_t numFilters) | TMVA::DNN::TCuda< AFloat > | static |
| Scalar_t typedef | TMVA::DNN::TCuda< AFloat > | |
| ScaleAdd(TCudaMatrix< AFloat > &A, const TCudaMatrix< AFloat > &B, Scalar_t beta=1.0) | TMVA::DNN::TCuda< AFloat > | static |
| ScaleAdd(std::vector< TCudaMatrix< Scalar_t > > &A, const std::vector< TCudaMatrix< Scalar_t > > &B, Scalar_t beta=1.0) | TMVA::DNN::TCuda< AFloat > | static |
| SetRandomSeed(size_t seed) | TMVA::DNN::TCuda< AFloat > | static |
| Sigmoid(TCudaMatrix< AFloat > &B) | TMVA::DNN::TCuda< AFloat > | static |
| Sigmoid(TCudaMatrix< AFloat > &YHat, const TCudaMatrix< AFloat > &) | TMVA::DNN::TCuda< AFloat > | static |
| SigmoidDerivative(TCudaMatrix< AFloat > &B, const TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| Softmax(TCudaMatrix< AFloat > &YHat, const TCudaMatrix< AFloat > &) | TMVA::DNN::TCuda< AFloat > | static |
| SoftmaxCrossEntropy(const TCudaMatrix< AFloat > &Y, const TCudaMatrix< AFloat > &output, const TCudaMatrix< AFloat > &weights) | TMVA::DNN::TCuda< AFloat > | static |
| SoftmaxCrossEntropyGradients(TCudaMatrix< AFloat > &dY, const TCudaMatrix< AFloat > &Y, const TCudaMatrix< AFloat > &output, const TCudaMatrix< AFloat > &weights) | TMVA::DNN::TCuda< AFloat > | static |
| SoftSign(TCudaMatrix< AFloat > &B) | TMVA::DNN::TCuda< AFloat > | static |
| SoftSignDerivative(TCudaMatrix< AFloat > &B, const TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| SqrtElementWise(TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| SquareElementWise(TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| Sum(const TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| SumColumns(TCudaMatrix< AFloat > &B, const TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| SumRows(TCudaMatrix< AFloat > &B, const TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| SymmetricRelu(TCudaMatrix< AFloat > &B) | TMVA::DNN::TCuda< AFloat > | static |
| SymmetricReluDerivative(TCudaMatrix< AFloat > &B, const TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| Tanh(TCudaMatrix< AFloat > &B) | TMVA::DNN::TCuda< AFloat > | static |
| TanhDerivative(TCudaMatrix< AFloat > &B, const TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| TransposeMultiply(TCudaMatrix< AFloat > &output, const TCudaMatrix< AFloat > &input, const TCudaMatrix< AFloat > &Weights) | TMVA::DNN::TCuda< AFloat > | static |
ROOT 6.16/01 - Reference Guide Generated on Sun Dec 19 2021 22:33:44 (GVA Time) using Doxygen 1.9.3 (234637167bd5d39d32bf51f755d58253441f123a).