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ROOT 6.14/05 Reference Guide |
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ROOT 6.14/05 Reference Guide |
This is the complete list of members for TMVA::DNN::TCuda< AFloat >, including all inherited members.
| 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 |
| 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 |
| 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< Scalar_t > &weights, const TCudaMatrix< Scalar_t > &biases, EActivationFunction func, const std::vector< int > &vIndices, size_t nlocalViews, size_t nlocalViewPixels, Scalar_t dropoutProbability, bool applyDropout) | TMVA::DNN::TCuda< AFloat > | inlinestatic |
| 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 > &A, const TCudaMatrix< AFloat > &B, const std::vector< int > &V) | TMVA::DNN::TCuda< AFloat > | inlinestatic |
| Im2colIndices(std::vector< int > &V, const TCudaMatrix< AFloat > &B, size_t nLocalViews, 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 > | 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(std::vector< TCudaMatrix< AFloat >> &activationGradientsBackward, const std::vector< TCudaMatrix< AFloat >> &activationGradients, const std::vector< TCudaMatrix< AFloat >> &indexMatrix, size_t batchSize, size_t depth, 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 |
| Rearrange(std::vector< TCudaMatrix< AFloat >> &out, const std::vector< TCudaMatrix< AFloat >> &in) | 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 |
| Sum(const TCudaMatrix< AFloat > &A) | TMVA::DNN::TCuda< AFloat > | static |
| SumColumns(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 6.14/05 - Reference Guide Generated on Fri Nov 2 2018 11:01:25 (GVA Time) using Doxygen 1.8.13.