__init__(self) | Python.CudaMarkopy.CudaModelMatrixCLI | |
Python::Markopy::ModelMatrixCLI.__init__(self, bool add_help=True) | Python.Markopy.ModelMatrixCLI | |
_generate(self, str wordlist) | Python.CudaMarkopy.CudaModelMatrixCLI | private |
add_arguments(self) | Python.CudaMarkopy.CudaModelMatrixCLI | |
Python::Markopy::ModelMatrixCLI.AdjustEdge(const char *payload, long int occurrence) | Markov::Model< char > | |
Markov::API::CUDA::CUDAModelMatrix.AdjustEdge(const char *payload, long int occurrence) | Markov::Model< char > | |
AllocVRAMOutputBuffer(long int n, long int singleGenMaxLen, long int CUDAKernelGridSize, long int sizePerGrid) | Markov::API::CUDA::CUDAModelMatrix | protected |
alternatingKernels | Markov::API::CUDA::CUDAModelMatrix | private |
Python::Markopy::ModelMatrixCLI.args | Python.Markopy.BaseCLI | |
Python::Markopy::AbstractGenerationModelCLI.args | Python.Markopy.BaseCLI | |
bInfinite | Python.CudaMarkopy.CudaModelMatrixCLI | |
Python::Markopy::ModelMatrixCLI.Buff(const char *str, double multiplier, bool bDontAdjustSelfLoops=true, bool bDontAdjustExtendedLoops=false) | Markov::API::MarkovPasswords | |
Markov::API::CUDA::CUDAModelMatrix.Buff(const char *str, double multiplier, bool bDontAdjustSelfLoops=true, bool bDontAdjustExtendedLoops=false) | Markov::API::MarkovPasswords | |
Python::Markopy::ModelMatrixCLI.check_corpus_path(str filename) | Python.Markopy.BaseCLI | static |
Python::Markopy::AbstractGenerationModelCLI.check_corpus_path(str filename) | Python.Markopy.BaseCLI | static |
Python::Markopy::ModelMatrixCLI.check_export_path(str filename) | Python.Markopy.BaseCLI | static |
Python::Markopy::AbstractGenerationModelCLI.check_export_path(str filename) | Python.Markopy.BaseCLI | static |
Python::Markopy::ModelMatrixCLI.check_import_path(str filename) | Python.Markopy.BaseCLI | static |
Python::Markopy::AbstractGenerationModelCLI.check_import_path(str filename) | Python.Markopy.BaseCLI | static |
Python::Markopy::ModelMatrixCLI.ConstructMatrix() | Markov::API::ModelMatrix | |
Markov::API::CUDA::CUDAModelMatrix.ConstructMatrix() | Markov::API::ModelMatrix | |
cudaBlocks | Markov::API::CUDA::CUDAModelMatrix | private |
CudaCheckNotifyErr(cudaError_t _status, const char *msg, bool bExit=true) | Markov::API::CUDA::CUDADeviceController | protectedstatic |
cudaGridSize | Markov::API::CUDA::CUDAModelMatrix | private |
CudaMalloc2DToFlat(T **dst, int row, int col) | Markov::API::CUDA::CUDADeviceController | inlineprotectedstatic |
CudaMemcpy2DToFlat(T *dst, T **src, int row, int col) | Markov::API::CUDA::CUDADeviceController | inlineprotectedstatic |
cudaMemPerGrid | Markov::API::CUDA::CUDAModelMatrix | private |
CudaMigrate2DFlat(T **dst, T **src, int row, int col) | Markov::API::CUDA::CUDADeviceController | inlineprotectedstatic |
cudaPerKernelAllocationSize | Markov::API::CUDA::CUDAModelMatrix | private |
cudastreams | Markov::API::CUDA::CUDAModelMatrix | private |
cudaThreads | Markov::API::CUDA::CUDAModelMatrix | private |
Python::Markopy::ModelMatrixCLI.datasetFile | Markov::API::MarkovPasswords | private |
Python::Markopy::ModelMatrixCLI.DeallocateMatrix() | Markov::API::ModelMatrix | protected |
Markov::API::CUDA::CUDAModelMatrix.DeallocateMatrix() | Markov::API::ModelMatrix | protected |
device_edgeMatrix | Markov::API::CUDA::CUDAModelMatrix | private |
device_matrixIndex | Markov::API::CUDA::CUDAModelMatrix | private |
device_outputBuffer | Markov::API::CUDA::CUDAModelMatrix | private |
device_seeds | Markov::API::CUDA::CUDAModelMatrix | private |
device_totalEdgeWeights | Markov::API::CUDA::CUDAModelMatrix | private |
device_valueMatrix | Markov::API::CUDA::CUDAModelMatrix | private |
Python::Markopy::ModelMatrixCLI.DumpJSON() | Markov::API::ModelMatrix | |
Markov::API::CUDA::CUDAModelMatrix.DumpJSON() | Markov::API::ModelMatrix | |
Python::Markopy::ModelMatrixCLI.edgeMatrix | Markov::API::ModelMatrix | protected |
Markov::API::CUDA::CUDAModelMatrix.edgeMatrix | Markov::API::ModelMatrix | protected |
Python::Markopy::ModelMatrixCLI.Edges() | Markov::Model< char > | inline |
Markov::API::CUDA::CUDAModelMatrix.Edges() | Markov::Model< char > | inline |
Python::Markopy::ModelMatrixCLI.edges | Markov::Model< char > | private |
Python::Markopy::ModelMatrixCLI.Export(std::ofstream *) | Markov::Model< char > | |
Python::Markopy::ModelMatrixCLI.Export(const char *filename) | Markov::Model< char > | |
Markov::API::CUDA::CUDAModelMatrix.Export(std::ofstream *) | Markov::Model< char > | |
Markov::API::CUDA::CUDAModelMatrix.Export(const char *filename) | Markov::Model< char > | |
Python::Markopy::ModelMatrixCLI.export(self, str filename) | Python.Markopy.BaseCLI | |
Python::Markopy::AbstractGenerationModelCLI.export(self, str filename) | Python.Markopy.BaseCLI | |
Python::Markopy::ModelMatrixCLI.FastRandomWalk(int count, str wordlist, int minlen, int maxlen) | Python.Markopy.ModelMatrix | |
Python::Markopy::ModelMatrixCLI.Markov::API::ModelMatrix.FastRandomWalk(unsigned long int n, const char *wordlistFileName, int minLen=6, int maxLen=12, int threads=20, bool bFileIO=true) | Markov::API::ModelMatrix | |
Python::Markopy::ModelMatrixCLI.Markov::API::ModelMatrix.FastRandomWalk(unsigned long int n, std::ofstream *wordlist, int minLen=6, int maxLen=12, int threads=20, bool bFileIO=true) | Markov::API::ModelMatrix | protected |
Markov::API::CUDA::CUDAModelMatrix.FastRandomWalk(unsigned long int n, const char *wordlistFileName, int minLen, int maxLen, bool bFileIO, bool bInfinite) | Markov::API::CUDA::CUDAModelMatrix | |
Markov::API::ModelMatrix.FastRandomWalk(unsigned long int n, const char *wordlistFileName, int minLen=6, int maxLen=12, int threads=20, bool bFileIO=true) | Markov::API::ModelMatrix | |
Markov::API::ModelMatrix.FastRandomWalk(unsigned long int n, std::ofstream *wordlist, int minLen=6, int maxLen=12, int threads=20, bool bFileIO=true) | Markov::API::ModelMatrix | protected |
Python::Markopy::ModelMatrixCLI.FastRandomWalkPartition(std::mutex *mlock, std::ofstream *wordlist, unsigned long int n, int minLen, int maxLen, bool bFileIO, int threads) | Markov::API::ModelMatrix | protected |
Markov::API::CUDA::CUDAModelMatrix.FastRandomWalkPartition(std::mutex *mlock, std::ofstream *wordlist, unsigned long int n, int minLen, int maxLen, bool bFileIO, int threads) | Markov::API::ModelMatrix | protected |
Python::Markopy::ModelMatrixCLI.FastRandomWalkThread(std::mutex *mlock, std::ofstream *wordlist, unsigned long int n, int minLen, int maxLen, int id, bool bFileIO) | Markov::API::ModelMatrix | protected |
Markov::API::CUDA::CUDAModelMatrix.FastRandomWalkThread(std::mutex *mlock, std::ofstream *wordlist, unsigned long int n, int minLen, int maxLen, int id, bool bFileIO) | Markov::API::ModelMatrix | protected |
fileIO | Python.Markopy.ModelMatrixCLI | |
flatEdgeMatrix | Markov::API::CUDA::CUDAModelMatrix | private |
FlattenMatrix() | Markov::API::CUDA::CUDAModelMatrix | |
flatValueMatrix | Markov::API::CUDA::CUDAModelMatrix | private |
GatherAsyncKernelOutput(int kernelID, bool bFileIO, std::ofstream &wordlist) | Markov::API::CUDA::CUDAModelMatrix | protected |
Python::Markopy::ModelMatrixCLI.generate(self, str wordlist, bool bulk=False) | Python.Markopy.BaseCLI | |
Python::Markopy::AbstractGenerationModelCLI.generate(self, str wordlist, bool bulk=False) | Python.Markopy.BaseCLI | |
Python::Markopy::ModelMatrixCLI.Generate(unsigned long int n, const char *wordlistFileName, int minLen=6, int maxLen=12, int threads=20) | Markov::API::MarkovPasswords | |
Markov::API::CUDA::CUDAModelMatrix.Generate(unsigned long int n, const char *wordlistFileName, int minLen=6, int maxLen=12, int threads=20) | Markov::API::MarkovPasswords | |
Python::Markopy::ModelMatrixCLI.GenerateThread(std::mutex *outputLock, unsigned long int n, std::ofstream *wordlist, int minLen, int maxLen) | Markov::API::MarkovPasswords | private |
Python::Markopy::ModelMatrixCLI.help(self) | Python.Markopy.BaseCLI | |
Python::Markopy::AbstractGenerationModelCLI.help(self) | Python.Markopy.BaseCLI | |
Python::Markopy::ModelMatrixCLI.Import(const char *filename) | Markov::API::ModelMatrix | |
Python::Markopy::ModelMatrixCLI.Markov::API::MarkovPasswords::Import(std::ifstream *) | Markov::Model< char > | |
Markov::API::CUDA::CUDAModelMatrix.Import(const char *filename) | Markov::API::ModelMatrix | |
Markov::API::MarkovPasswords.Import(std::ifstream *) | Markov::Model< char > | |
Python::Markopy::ModelMatrixCLI.import_model(self, str filename) | Python.Markopy.BaseCLI | |
Python::Markopy::AbstractGenerationModelCLI.import_model(self, str filename) | Python.Markopy.BaseCLI | |
init_post_arguments(self) | Python.CudaMarkopy.CudaModelMatrixCLI | |
iterationsPerKernelThread | Markov::API::CUDA::CUDAModelMatrix | private |
LaunchAsyncKernel(int kernelID, int minLen, int maxLen) | Markov::API::CUDA::CUDAModelMatrix | protected |
ListCudaDevices() | Markov::API::CUDA::CUDADeviceController | static |
Python::Markopy::ModelMatrixCLI.MarkovPasswords() | Markov::API::MarkovPasswords | |
Python::Markopy::ModelMatrixCLI.MarkovPasswords(const char *filename) | Markov::API::MarkovPasswords | |
Markov::API::CUDA::CUDAModelMatrix.MarkovPasswords() | Markov::API::MarkovPasswords | |
Markov::API::CUDA::CUDAModelMatrix.MarkovPasswords(const char *filename) | Markov::API::MarkovPasswords | |
Python::Markopy::ModelMatrixCLI.matrixIndex | Markov::API::ModelMatrix | protected |
Markov::API::CUDA::CUDAModelMatrix.matrixIndex | Markov::API::ModelMatrix | protected |
Python::Markopy::ModelMatrixCLI.matrixSize | Markov::API::ModelMatrix | protected |
Markov::API::CUDA::CUDAModelMatrix.matrixSize | Markov::API::ModelMatrix | protected |
MigrateMatrix() | Markov::API::CUDA::CUDAModelMatrix | |
model | Python.CudaMarkopy.CudaModelMatrixCLI | |
Python::Markopy::ModelMatrixCLI.Model() | Markov::Model< char > | |
Markov::API::CUDA::CUDAModelMatrix.Model() | Markov::Model< char > | |
Python::Markopy::ModelMatrixCLI.ModelMatrix() | Markov::API::ModelMatrix | |
Markov::API::CUDA::CUDAModelMatrix.ModelMatrix() | Markov::API::ModelMatrix | |
Python::Markopy::ModelMatrixCLI.modelSavefile | Markov::API::MarkovPasswords | private |
Python::Markopy::ModelMatrixCLI.Nodes() | Markov::Model< char > | inline |
Markov::API::CUDA::CUDAModelMatrix.Nodes() | Markov::Model< char > | inline |
Python::Markopy::ModelMatrixCLI.nodes | Markov::Model< char > | private |
numberOfPartitions | Markov::API::CUDA::CUDAModelMatrix | private |
Python::Markopy::ModelMatrixCLI.OpenDatasetFile(const char *filename) | Markov::API::MarkovPasswords | |
Markov::API::CUDA::CUDAModelMatrix.OpenDatasetFile(const char *filename) | Markov::API::MarkovPasswords | |
Python::Markopy::ModelMatrixCLI.OptimizeEdgeOrder() | Markov::Model< char > | |
Markov::API::CUDA::CUDAModelMatrix.OptimizeEdgeOrder() | Markov::Model< char > | |
outputBuffer | Markov::API::CUDA::CUDAModelMatrix | private |
Python::Markopy::ModelMatrixCLI.outputFile | Markov::API::MarkovPasswords | private |
Python::Markopy::ModelMatrixCLI.parse(self) | Python.Markopy.BaseCLI | |
Python::Markopy::AbstractGenerationModelCLI.parse(self) | Python.Markopy.BaseCLI | |
Python::Markopy::ModelMatrixCLI.parse_arguments(self) | Python.Markopy.BaseCLI | |
Python::Markopy::AbstractGenerationModelCLI.parse_arguments(self) | Python.Markopy.BaseCLI | |
Python::Markopy::ModelMatrixCLI.parser | Python.Markopy.BaseCLI | |
Python::Markopy::AbstractGenerationModelCLI.parser | Python.Markopy.BaseCLI | |
prepKernelMemoryChannel(int numberOfStreams) | Markov::API::CUDA::CUDAModelMatrix | protected |
Python::Markopy::ModelMatrixCLI.print_help | Python.Markopy.BaseCLI | |
Python::Markopy::AbstractGenerationModelCLI.print_help | Python.Markopy.BaseCLI | |
Python::Markopy::ModelMatrixCLI.process(self) | Python.Markopy.BaseCLI | |
Python::Markopy::AbstractGenerationModelCLI.process(self) | Python.Markopy.BaseCLI | |
Python::Markopy::ModelMatrixCLI.RandomWalk(Markov::Random::RandomEngine *randomEngine, int minSetting, int maxSetting, char *buffer) | Markov::Model< char > | |
Markov::API::CUDA::CUDAModelMatrix.RandomWalk(Markov::Random::RandomEngine *randomEngine, int minSetting, int maxSetting, char *buffer) | Markov::Model< char > | |
Python::Markopy::ModelMatrixCLI.ready | Markov::API::ModelMatrix | protected |
Markov::API::CUDA::CUDAModelMatrix.ready | Markov::API::ModelMatrix | protected |
Python::Markopy::ModelMatrixCLI.Save(const char *filename) | Markov::API::MarkovPasswords | |
Markov::API::CUDA::CUDAModelMatrix.Save(const char *filename) | Markov::API::MarkovPasswords | |
Python::Markopy::ModelMatrixCLI.starterNode | Markov::Model< char > | private |
Python::Markopy::ModelMatrixCLI.StarterNode() | Markov::Model< char > | inline |
Markov::API::CUDA::CUDAModelMatrix.StarterNode() | Markov::Model< char > | inline |
Python::Markopy::ModelMatrixCLI.totalEdgeWeights | Markov::API::ModelMatrix | protected |
Markov::API::CUDA::CUDAModelMatrix.totalEdgeWeights | Markov::API::ModelMatrix | protected |
totalOutputPerKernel | Markov::API::CUDA::CUDAModelMatrix | private |
totalOutputPerSync | Markov::API::CUDA::CUDAModelMatrix | private |
Python::Markopy::ModelMatrixCLI.Train(const char *datasetFileName, char delimiter, int threads) | Markov::API::ModelMatrix | |
Markov::API::CUDA::CUDAModelMatrix.Train(const char *datasetFileName, char delimiter, int threads) | Markov::API::ModelMatrix | |
Python::Markopy::ModelMatrixCLI.train(self, str dataset, str seperator, str output, bool output_forced=False, bool bulk=False) | Python.Markopy.BaseCLI | |
Python::Markopy::AbstractGenerationModelCLI.train(self, str dataset, str seperator, str output, bool output_forced=False, bool bulk=False) | Python.Markopy.BaseCLI | |
Python::Markopy::ModelMatrixCLI.TrainThread(Markov::API::Concurrency::ThreadSharedListHandler *listhandler, char delimiter) | Markov::API::MarkovPasswords | private |
Python::Markopy::ModelMatrixCLI.valueMatrix | Markov::API::ModelMatrix | protected |
Markov::API::CUDA::CUDAModelMatrix.valueMatrix | Markov::API::ModelMatrix | protected |