Uses of Enum Class
org.apache.sysds.common.Types.DataType
Packages that use Types.DataType
Package
Description
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Uses of Types.DataType in org.apache.sysds.common
Methods in org.apache.sysds.common that return Types.DataTypeModifier and TypeMethodDescriptionstatic Types.DataTypeReturns the enum constant of this class with the specified name.static Types.DataType[]Types.DataType.values()Returns an array containing the constants of this enum class, in the order they are declared.Methods in org.apache.sysds.common with parameters of type Types.DataTypeModifier and TypeMethodDescriptionstatic StringBuiltins.getInternalFName(String name, Types.DataType dt) -
Uses of Types.DataType in org.apache.sysds.hops
Methods in org.apache.sysds.hops that return Types.DataTypeMethods in org.apache.sysds.hops with parameters of type Types.DataTypeModifier and TypeMethodDescriptionstatic LopBinaryOp.constructSPAppendLop(Hop left, Hop right, Types.DataType dt, Types.ValueType vt, boolean cbind, Hop current) static longOptimizerUtils.estimateSizeExactSparsity(long nrows, long ncols, double sp, Types.DataType dt) voidHop.setDataType(Types.DataType dt) Constructors in org.apache.sysds.hops with parameters of type Types.DataTypeModifierConstructorDescriptionAggBinaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp2 innOp, Types.AggOp outOp, Hop in1, Hop in2) AggUnaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.AggOp o, Types.Direction idx, Hop inp) BinaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp2 o, Hop inp1, Hop inp2) BinaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp2 o, Hop inp1, Hop inp2, boolean outer) DataOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOpData dop, String fname, long dim1, long dim2, long nnz, int blen) READ operation for Matrix w/ dim1, dim2.DataOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOpData dop, String fname, long dim1, long dim2, long nnz, MatrixObject.UpdateType update, int blen) DataOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOpData dop, HashMap<String, Hop> params) READ operation for Matrix / SQL operation for tensor This constructor supports expressions in parametersDataOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOpData dop, Hop in, HashMap<String, Hop> inputParameters) WRITE operation for Matrix This constructor supports expression in parametersDataOp(String l, Types.DataType dt, Types.ValueType vt, Hop in, Types.OpOpData dop, String fname) DnnOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOpDnn o, ArrayList<Hop> inp) Create a hop from the builtin expressionHop(String l, Types.DataType dt, Types.ValueType vt) IndexingOp(String l, Types.DataType dt, Types.ValueType vt, Hop inpMatrix, Hop inpRowL, Hop inpRowU, Hop inpColL, Hop inpColU, boolean passedRowsLEU, boolean passedColsLEU) LeftIndexingOp(String l, Types.DataType dt, Types.ValueType vt, Hop inpMatrixLeft, Hop inpMatrixRight, Hop inpRowL, Hop inpRowU, Hop inpColL, Hop inpColU, boolean passedRowsLEU, boolean passedColsLEU) MultiThreadedHop(String name, Types.DataType dt, Types.ValueType vt) NaryOp(String name, Types.DataType dataType, Types.ValueType valueType, Types.OpOpN op, Hop... inputs) NaryOp constructor.ParameterizedBuiltinOp(String l, Types.DataType dt, Types.ValueType vt, Types.ParamBuiltinOp op, LinkedHashMap<String, Hop> inputParameters) Creates a new HOP for a function callQuaternaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp4 o, Hop inX, Hop inU, Hop inV) QuaternaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp4 o, Hop inX, Hop inU, Hop inV, boolean flag1, boolean flag2) Constructor for wsigmoid.QuaternaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp4 o, Hop inW, Hop inU, Hop inV, boolean umult, Types.OpOp1 uop, Types.OpOp2 sop) QuaternaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp4 o, Hop inX, Hop inU, Hop inV, Hop inW, boolean post) Constructor for wsloss.QuaternaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp4 o, Hop inX, Hop inU, Hop inV, Hop inW, int baseType, boolean flag1, boolean flag2) ReorgOp(String l, Types.DataType dt, Types.ValueType vt, Types.ReOrgOp o, List<Hop> inp) ReorgOp(String l, Types.DataType dt, Types.ValueType vt, Types.ReOrgOp o, Hop inp) TernaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp3 o, Hop inp1, Hop inp2, Hop inp3) TernaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp3 o, Hop inp1, Hop inp2, Hop inp3, Hop inp4, Hop inp5, Hop inp6) UnaryOp(String l, Types.DataType dt, Types.ValueType vt, Types.OpOp1 o, Hop inp) -
Uses of Types.DataType in org.apache.sysds.hops.codegen
Constructors in org.apache.sysds.hops.codegen with parameters of type Types.DataTypeModifierConstructorDescriptionSpoofFusedOp(String name, Types.DataType dt, Types.ValueType vt, Class<?> cla, SpoofCompiler.GeneratorAPI api, String genVarName, boolean dist, SpoofFusedOp.SpoofOutputDimsType type) -
Uses of Types.DataType in org.apache.sysds.hops.codegen.cplan
Methods in org.apache.sysds.hops.codegen.cplan that return Types.DataTypeMethods in org.apache.sysds.hops.codegen.cplan with parameters of type Types.DataTypeConstructors in org.apache.sysds.hops.codegen.cplan with parameters of type Types.DataTypeModifierConstructorDescriptionCNodeData(String name, long hopID, long rows, long cols, Types.DataType dataType) CNodeData(Hop hop, long rows, long cols, Types.DataType dt) -
Uses of Types.DataType in org.apache.sysds.hops.rewrite
Methods in org.apache.sysds.hops.rewrite with parameters of type Types.DataTypeModifier and TypeMethodDescriptionstatic booleanHopRewriteUtils.checkInputDataTypes(Hop hop, Types.DataType... dt) static HopHopRewriteUtils.createDataGenOpByVal(Hop rowInput, Hop colInput, Hop dimsInput, Types.DataType dt, Types.ValueType vt, double value) static booleanHopRewriteUtils.isData(Hop hop, Types.OpOpData type, Types.DataType dt) -
Uses of Types.DataType in org.apache.sysds.lops
Methods in org.apache.sysds.lops that return Types.DataTypeModifier and TypeMethodDescriptionLop.getDataType()get data type of the output that is produced by this lopMethods in org.apache.sysds.lops with parameters of type Types.DataTypeModifier and TypeMethodDescriptionstatic SortKeysSortKeys.constructSortByValueLop(Lop input1, Lop input2, SortKeys.OperationTypes op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int numThreads) static SortKeysSortKeys.constructSortByValueLop(Lop input1, SortKeys.OperationTypes op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int numThreads) static Ctable.OperationTypesCtable.findCtableOperationByInputDataTypes(Types.DataType dt1, Types.DataType dt2, Types.DataType dt3) voidAppend.init(Lop input1, Lop input2, Lop input3, Types.DataType dt, Types.ValueType vt) voidAppendG.init(Lop input1, Lop input2, Lop input3, Lop input4, Types.DataType dt, Types.ValueType vt, Types.ExecType et) voidAppendGAlignedSP.init(Lop input1, Lop input2, Lop input3, Types.DataType dt, Types.ValueType vt) voidAppendM.init(Lop input1, Lop input2, Lop input3, Types.DataType dt, Types.ValueType vt, Types.ExecType et) voidAppendR.init(Lop input1, Lop input2, Types.DataType dt, Types.ValueType vt, Types.ExecType et) Lop.prepOperand(String label, Types.DataType dt, Types.ValueType vt) Method to prepare instruction operand with given parameters.Lop.prepOperand(String label, Types.DataType dt, Types.ValueType vt, boolean literal) Method to prepare instruction operand with given parameters.voidLop.setDataType(Types.DataType dt) set data type of the output that is produced by this lopConstructors in org.apache.sysds.lops with parameters of type Types.DataTypeModifierConstructorDescriptionAppend(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 operationBinaryUAggChain(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 weightsCentralMoment(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, int k) Ctable(Lop[] inputLops, Ctable.OperationTypes op, Types.DataType dt, Types.ValueType vt, Types.ExecType et, int k) 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:inputmust 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 SparkMapMultChain(Lop input1, Lop input2, Types.DataType dt, Types.ValueType vt, Types.ExecType et) Constructor to setup a map mult chain without weightsMapMultChain(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 weightsMatMultCP(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 MultiplicationReBlock(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) Tee(Lop input1, Types.DataType dt, Types.ValueType vt) Constructor to be invoked by base class.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 chainUnary(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 inputsUnaryCP(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 operationWeightedCrossEntropy(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) -
Uses of Types.DataType in org.apache.sysds.lops.compile
Methods in org.apache.sysds.lops.compile with parameters of type Types.DataType -
Uses of Types.DataType in org.apache.sysds.parser
Methods in org.apache.sysds.parser that return Types.DataTypeModifier and TypeMethodDescriptionstatic Types.DataTypeExpression.computeDataType(Expression expression1, Expression expression2, boolean cast) Compute data type based on expressions.static Types.DataTypeExpression.computeDataType(Identifier identifier1, Identifier identifier2, boolean cast) Compute data type based on identifiers.Identifier.getDataType()Methods in org.apache.sysds.parser with parameters of type Types.DataTypeConstructors in org.apache.sysds.parser with parameters of type Types.DataTypeModifierConstructorDescriptionDataIdentifier(String name, Types.DataType dt) DataIdentifier(String name, Types.DataType dt, Types.ValueType vt) -
Uses of Types.DataType in org.apache.sysds.runtime.controlprogram.federated
Methods in org.apache.sysds.runtime.controlprogram.federated that return Types.DataTypeConstructors in org.apache.sysds.runtime.controlprogram.federated with parameters of type Types.DataTypeModifierConstructorDescriptionFederatedData(Types.DataType dataType, InetSocketAddress address, String filepath) FederatedData(Types.DataType dataType, InetSocketAddress address, String filepath, long varID) -
Uses of Types.DataType in org.apache.sysds.runtime.einsum
Methods in org.apache.sysds.runtime.einsum that return Types.DataTypeModifier and TypeMethodDescriptionstatic Types.DataTypeEinsumEquationValidator.validateEinsumEquationNoDimensions(String equationString, int numberOfMatrixInputs) Methods in org.apache.sysds.runtime.einsum that return types with arguments of type Types.DataTypeModifier and TypeMethodDescriptionstatic <HopOrIdentifier extends ParseInfo>
org.apache.commons.lang3.tuple.Triple<Long,Long, Types.DataType> EinsumEquationValidator.validateEinsumEquationAndReturnDimensions(String equationString, List<HopOrIdentifier> expressionsOrIdentifiers) -
Uses of Types.DataType in org.apache.sysds.runtime.instructions.cp
Methods in org.apache.sysds.runtime.instructions.cp that return Types.DataTypeMethods in org.apache.sysds.runtime.instructions.cp with parameters of type Types.DataTypeModifier and TypeMethodDescriptionbooleanListObject.checkAllDataTypes(Types.DataType dt) static InstructionVariableCPInstruction.prepCreatevarInstruction(String varName, String fileName, boolean fNameOverride, Types.DataType dt, String format, DataCharacteristics mc, MatrixObject.UpdateType update) static InstructionVariableCPInstruction.prepCreatevarInstruction(String varName, String fileName, boolean fNameOverride, Types.DataType dt, String format, DataCharacteristics mc, MatrixObject.UpdateType update, boolean hasHeader, String delim, boolean sparse) Constructors in org.apache.sysds.runtime.instructions.cp with parameters of type Types.DataTypeModifierConstructorDescriptionCPOperand(String name, Types.ValueType vt, Types.DataType dt) CPOperand(String name, Types.ValueType vt, Types.DataType dt, boolean literal) Encrypted(int[] dims, DataCharacteristics dc, byte[] data, Types.DataType dt) -
Uses of Types.DataType in org.apache.sysds.runtime.io
Methods in org.apache.sysds.runtime.io with parameters of type Types.DataTypeModifier and TypeMethodDescriptionstatic InputOutputInfoInputOutputInfo.get(Types.DataType dt, Types.FileFormat fmt) -
Uses of Types.DataType in org.apache.sysds.runtime.iogen
Methods in org.apache.sysds.runtime.iogen that return Types.DataType -
Uses of Types.DataType in org.apache.sysds.runtime.lineage
Methods in org.apache.sysds.runtime.lineage with parameters of type Types.DataTypeModifier and TypeMethodDescriptionstatic booleanLineageCache.reuseFedRead(String outName, Types.DataType dataType, LineageItem li, ExecutionContext ec) Constructors in org.apache.sysds.runtime.lineage with parameters of type Types.DataTypeModifierConstructorDescriptionLineageCacheEntry(LineageItem key, Types.DataType dt, MatrixBlock Mval, ScalarObject Sval, long computetime) -
Uses of Types.DataType in org.apache.sysds.runtime.util
Methods in org.apache.sysds.runtime.util with parameters of type Types.DataTypeModifier and TypeMethodDescriptionstatic StringHDFSTool.metaDataToString(Types.ValueType vt, Types.ValueType[] schema, Types.DataType dt, DataCharacteristics dc, Types.FileFormat fmt, FileFormatProperties formatProperties) static StringHDFSTool.metaDataToString(Types.ValueType vt, Types.ValueType[] schema, Types.DataType dt, DataCharacteristics dc, Types.FileFormat fmt, FileFormatProperties formatProperties, String privacyConstraints) static voidHDFSTool.writeMetaDataFile(String mtdfile, Types.ValueType vt, Types.ValueType[] schema, Types.DataType dt, DataCharacteristics mc, Types.FileFormat fmt) static voidHDFSTool.writeMetaDataFile(String mtdfile, Types.ValueType vt, Types.ValueType[] schema, Types.DataType dt, DataCharacteristics dc, Types.FileFormat fmt, FileFormatProperties formatProperties) static voidHDFSTool.writeMetaDataFile(String mtdfile, Types.ValueType vt, Types.ValueType[] schema, Types.DataType dt, DataCharacteristics dc, Types.FileFormat fmt, FileFormatProperties formatProperties, String privacyConstraints)