Append(Lop input1,
Lop input2,
Lop input3,
Types.DataType dt,
Types.ValueType vt,
boolean cbind,
Types.ExecType et) |
|
AppendG(Lop input1,
Lop input2,
Lop input3,
Lop input4,
Types.DataType dt,
Types.ValueType vt,
boolean cbind,
Types.ExecType et) |
|
AppendGAlignedSP(Lop input1,
Lop input2,
Lop input3,
Types.DataType dt,
Types.ValueType vt,
boolean cbind) |
|
AppendM(Lop input1,
Lop input2,
Lop input3,
Types.DataType dt,
Types.ValueType vt,
boolean cbind,
boolean partitioned,
Types.ExecType et) |
|
AppendR(Lop input1,
Lop input2,
Types.DataType dt,
Types.ValueType vt,
boolean cbind,
Types.ExecType et) |
|
Binary(Lop input1,
Lop input2,
Types.OpOp2 op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et) |
Constructor to perform a binary operation.
|
Binary(Lop input1,
Lop input2,
Types.OpOp2 op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
int k) |
|
Binary(Lop input1,
Lop input2,
Types.OpOp2 op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
int k,
boolean inplace) |
|
BinaryM(Lop input1,
Lop input2,
Types.OpOp2 op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
boolean colVector) |
Constructor to perform a binary operation.
|
BinaryScalar(Lop input1,
Lop input2,
Types.OpOp2 op,
Types.DataType dt,
Types.ValueType vt) |
Constructor to perform a scalar operation
|
BinaryUAggChain(Lop input1,
Types.OpOp2 bop,
Types.AggOp uaop,
Types.Direction uadir,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et) |
Constructor to setup a map mult chain without weights
|
CentralMoment(Lop input1,
Lop input2,
Types.DataType dt,
Types.ValueType vt,
int numThreads,
Types.ExecType et) |
|
CentralMoment(Lop input1,
Lop input2,
Lop input3,
Types.DataType dt,
Types.ValueType vt,
int numThreads,
Types.ExecType et) |
|
Checkpoint(Lop input,
Types.DataType dt,
Types.ValueType vt,
String level) |
|
Checkpoint(Lop input,
Types.DataType dt,
Types.ValueType vt,
String level,
boolean isAsync) |
TODO change string parameter storage.level to StorageLevel as soon as we can assume
that Spark libraries are always available.
|
Compression(Lop input,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
int singletonLookupKey,
int numThreads) |
|
CoVariance(Lop input1,
Lop input2,
Types.DataType dt,
Types.ValueType vt,
int numThreads,
Types.ExecType et) |
|
CoVariance(Lop input1,
Lop input2,
Lop input3,
Types.DataType dt,
Types.ValueType vt,
int numThreads,
Types.ExecType et) |
|
CSVReBlock(Lop input,
int blen,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et) |
|
Ctable(Lop[] inputLops,
Ctable.OperationTypes op,
Types.DataType dt,
Types.ValueType vt,
boolean ignoreZeros,
boolean outputEmptyBlocks,
Types.ExecType et) |
|
Ctable(Lop[] inputLops,
Ctable.OperationTypes op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et) |
|
CumulativeOffsetBinary(Lop data,
Lop offsets,
Types.DataType dt,
Types.ValueType vt,
double init,
boolean broadcast,
Types.AggOp op,
Types.ExecType et) |
|
CumulativeOffsetBinary(Lop data,
Lop offsets,
Types.DataType dt,
Types.ValueType vt,
Types.AggOp op,
Types.ExecType et) |
|
CumulativePartialAggregate(Lop input,
Types.DataType dt,
Types.ValueType vt,
Types.AggOp op,
Types.ExecType et) |
|
Data(Types.OpOpData op,
Lop input,
HashMap<String,Lop> inputParametersLops,
String name,
String literal,
Types.DataType dt,
Types.ValueType vt,
Types.FileFormat fmt) |
Constructor to setup read or write LOP
In case of write: input must be provided.
|
DataGen(Types.OpOpDG op,
DataIdentifier id,
HashMap<String,Lop> inputParametersLops,
String baseDir,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et) |
Creates a new Rand-LOP.
|
DeCompression(Lop input,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et) |
|
DnnTransform(Lop input,
Types.OpOpDnn op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
int k,
double intermediateMemBudget) |
Constructor when we have one input.
|
DnnTransform(Lop input1,
Lop input2,
Types.OpOpDnn op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
int k) |
|
DnnTransform(Lop input1,
Lop input2,
Lop input3,
Types.OpOpDnn op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
int k) |
|
Federated(HashMap<String,Lop> inputLops,
Types.DataType dataType,
Types.ValueType valueType) |
|
GroupedAggregate(HashMap<String,Lop> inputParameterLops,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et) |
|
GroupedAggregate(HashMap<String,Lop> inputParameterLops,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
boolean broadcastGroups) |
|
GroupedAggregate(HashMap<String,Lop> inputParameterLops,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
int k) |
|
GroupedAggregateM(HashMap<String,Lop> inputParameterLops,
Types.DataType dt,
Types.ValueType vt,
boolean partitioned,
Types.ExecType et) |
|
LeftIndex(Lop lhsInput,
Lop rhsInput,
Lop rowL,
Lop rowU,
Lop colL,
Lop colU,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et) |
|
LeftIndex(Lop lhsInput,
Lop rhsInput,
Lop rowL,
Lop rowU,
Lop colL,
Lop colU,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
LeftIndex.LixCacheType type) |
|
Local(Lop input,
Types.DataType dt,
Types.ValueType vt) |
|
Lop(Lop.Type t,
Types.DataType dt,
Types.ValueType vt) |
Constructor to be invoked by base class.
|
MapMult(Lop input1,
Lop input2,
Types.DataType dt,
Types.ValueType vt,
boolean rightCache,
boolean partitioned,
boolean emptyBlocks,
AggBinaryOp.SparkAggType aggtype) |
Constructor to setup a partial Matrix-Vector Multiplication for Spark
|
MapMultChain(Lop input1,
Lop input2,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et) |
Constructor to setup a map mult chain without weights
|
MapMultChain(Lop input1,
Lop input2,
Lop input3,
MapMultChain.ChainType chain,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et) |
Constructor to setup a map mult chain with weights
|
MatMultCP(Lop input1,
Lop input2,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et) |
|
MatMultCP(Lop input1,
Lop input2,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
boolean isLeftTransposed,
boolean isRightTransposed) |
|
MatMultCP(Lop input1,
Lop input2,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
int k) |
|
MatMultCP(Lop input1,
Lop input2,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
int k,
boolean isLeftTransposed,
boolean isRightTransposed) |
|
MMCJ(Lop input1,
Lop input2,
Types.DataType dt,
Types.ValueType vt,
boolean outputEmptyBlocks,
AggBinaryOp.SparkAggType aggtype,
Types.ExecType et) |
|
MMCJ(Lop input1,
Lop input2,
Types.DataType dt,
Types.ValueType vt,
MMCJ.MMCJType type,
Types.ExecType et) |
Constructor to perform a cross product operation.
|
MMRJ(Lop input1,
Lop input2,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et) |
Constructor to perform a cross product operation.
|
MMTSJ(Lop input1,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
MMTSJ.MMTSJType type) |
|
MMTSJ(Lop input1,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
MMTSJ.MMTSJType type,
boolean multiPass) |
|
MMTSJ(Lop input1,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
MMTSJ.MMTSJType type,
boolean multiPass,
int k) |
|
MMZip(Lop input1,
Lop input2,
Types.DataType dt,
Types.ValueType vt,
boolean tRewrite,
Types.ExecType et) |
|
Nary(Types.OpOpN operationType,
Types.DataType dt,
Types.ValueType vt,
Lop[] inputLops,
Types.ExecType et) |
|
ParameterizedBuiltin(HashMap<String,Lop> paramLops,
Types.ParamBuiltinOp op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et) |
|
ParameterizedBuiltin(HashMap<String,Lop> paramLops,
Types.ParamBuiltinOp op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
boolean bRmEmptyBC) |
|
ParameterizedBuiltin(HashMap<String,Lop> paramLops,
Types.ParamBuiltinOp op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
int k) |
|
PartialAggregate(Lop input,
Types.AggOp op,
Types.Direction direct,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
int k) |
|
PartialAggregate(Lop input,
Types.AggOp op,
Types.Direction direct,
Types.DataType dt,
Types.ValueType vt,
AggBinaryOp.SparkAggType aggtype,
Types.ExecType et) |
|
PickByCount(Lop input1,
Lop input2,
Types.DataType dt,
Types.ValueType vt,
PickByCount.OperationTypes op,
Types.ExecType et) |
|
PickByCount(Lop input1,
Lop input2,
Types.DataType dt,
Types.ValueType vt,
PickByCount.OperationTypes op,
Types.ExecType et,
boolean inMemoryInput) |
|
PMapMult(Lop input1,
Lop input2,
Types.DataType dt,
Types.ValueType vt) |
|
PMMJ(Lop pminput,
Lop rightinput,
Lop nrow,
Types.DataType dt,
Types.ValueType vt,
boolean partitioned,
boolean emptyBlocks,
Types.ExecType et) |
Constructor to setup a Permutation Matrix Multiplication
|
ReBlock(Lop input,
int blen,
Types.DataType dt,
Types.ValueType vt,
boolean outputEmptyBlocks,
Types.ExecType et) |
|
RightIndex(Lop input,
Lop rowL,
Lop rowU,
Lop colL,
Lop colU,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et) |
|
RightIndex(Lop input,
Lop rowL,
Lop rowU,
Lop colL,
Lop colU,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
boolean forleft) |
|
RightIndex(Lop input,
Lop rowL,
Lop rowU,
Lop colL,
Lop colU,
Types.DataType dt,
Types.ValueType vt,
AggBinaryOp.SparkAggType aggtype,
Types.ExecType et) |
|
SortKeys(Lop input,
boolean desc,
SortKeys.OperationTypes op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et) |
|
SortKeys(Lop input1,
Lop input2,
SortKeys.OperationTypes op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
int numThreads) |
|
SortKeys(Lop input,
SortKeys.OperationTypes op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
int numThreads) |
|
SpoofFused(ArrayList<Lop> inputs,
Types.DataType dt,
Types.ValueType vt,
Class<?> cla,
SpoofCompiler.GeneratorAPI api,
String genVarName,
int k,
Types.ExecType etype) |
|
Sql(HashMap<String,Lop> inputParametersLops,
Types.DataType dt,
Types.ValueType vt) |
|
Ternary(Types.OpOp3 op,
Lop input1,
Lop input2,
Lop input3,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
int numThreads) |
|
TernaryAggregate(Lop input1,
Lop input2,
Lop input3,
Types.AggOp aggOp,
Types.OpOp2 binOp,
Types.Direction direction,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
int k) |
|
Transform(Lop[] inputs,
Types.ReOrgOp op,
Types.DataType dt,
Types.ValueType vt,
boolean outputEmptyBlock,
Types.ExecType et) |
|
Transform(Lop[] inputs,
Types.ReOrgOp op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
boolean bSortIndInMem) |
|
Transform(Lop[] inputs,
Types.ReOrgOp op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
boolean bSortIndInMem,
int k) |
|
Transform(Lop[] inputs,
Types.ReOrgOp op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
int k) |
|
Transform(Lop input,
Types.ReOrgOp op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et) |
|
Transform(Lop input,
Types.ReOrgOp op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
boolean bSortIndInMem) |
|
Transform(Lop input,
Types.ReOrgOp op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
int k) |
|
UAggOuterChain(Lop input1,
Lop input2,
Types.AggOp uaop,
Types.Direction uadir,
Types.OpOp2 bop,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et) |
Constructor to setup a unaryagg outer chain
|
Unary(Lop input1,
Types.OpOp1 op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
int numThreads,
boolean inplace) |
Constructor to perform a unary operation with 1 input.
|
Unary(Lop input1,
Lop input2,
Types.OpOp1 op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
int numThreads) |
Constructor to perform a unary operation with 2 inputs
|
UnaryCP(Lop input,
Types.OpOp1 op,
Types.DataType dt,
Types.ValueType vt) |
|
UnaryCP(Lop input,
Types.OpOp1 op,
Types.DataType dt,
Types.ValueType vt,
int k) |
|
UnaryCP(Lop input,
Types.OpOp1 op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et) |
|
UnaryCP(Lop input,
Types.OpOp1 op,
Types.DataType dt,
Types.ValueType vt,
Types.ExecType et,
int k) |
Constructor to perform a scalar operation
|
WeightedCrossEntropy(Lop input1,
Lop input2,
Lop input3,
Lop input4,
Types.DataType dt,
Types.ValueType vt,
WeightedCrossEntropy.WCeMMType wt,
Types.ExecType et) |
|
WeightedCrossEntropyR(Lop input1,
Lop input2,
Lop input3,
Lop input4,
Types.DataType dt,
Types.ValueType vt,
WeightedCrossEntropy.WCeMMType wt,
boolean cacheU,
boolean cacheV,
Types.ExecType et) |
|
WeightedDivMM(Lop input1,
Lop input2,
Lop input3,
Lop input4,
Types.DataType dt,
Types.ValueType vt,
WeightedDivMM.WDivMMType wt,
Types.ExecType et) |
|
WeightedDivMMR(Lop input1,
Lop input2,
Lop input3,
Lop input4,
Types.DataType dt,
Types.ValueType vt,
WeightedDivMM.WDivMMType wt,
boolean cacheU,
boolean cacheV,
Types.ExecType et) |
|
WeightedSigmoid(Lop input1,
Lop input2,
Lop input3,
Types.DataType dt,
Types.ValueType vt,
WeightedSigmoid.WSigmoidType wt,
Types.ExecType et) |
|
WeightedSigmoidR(Lop input1,
Lop input2,
Lop input3,
Types.DataType dt,
Types.ValueType vt,
WeightedSigmoid.WSigmoidType wt,
boolean cacheU,
boolean cacheV,
Types.ExecType et) |
|
WeightedSquaredLoss(Lop input1,
Lop input2,
Lop input3,
Lop input4,
Types.DataType dt,
Types.ValueType vt,
WeightedSquaredLoss.WeightsType wt,
Types.ExecType et) |
|
WeightedSquaredLossR(Lop input1,
Lop input2,
Lop input3,
Lop input4,
Types.DataType dt,
Types.ValueType vt,
WeightedSquaredLoss.WeightsType wt,
boolean cacheU,
boolean cacheV,
Types.ExecType et) |
|
WeightedUnaryMM(Lop input1,
Lop input2,
Lop input3,
Types.DataType dt,
Types.ValueType vt,
WeightedUnaryMM.WUMMType wt,
Types.OpOp1 op,
Types.ExecType et) |
|
WeightedUnaryMMR(Lop input1,
Lop input2,
Lop input3,
Types.DataType dt,
Types.ValueType vt,
WeightedUnaryMM.WUMMType wt,
Types.OpOp1 op,
boolean cacheU,
boolean cacheV,
Types.ExecType et) |
|