Package org.apache.sysds.hops
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Class Summary Class Description AggBinaryOp AggUnaryOp BinaryOp DataGenOp A DataGenOp can be rand (or matrix constructor), sequence, and sample - these operators have different parameters and use a map of parameter type to hop position.DataOp A DataOp can be either a persistent read/write or transient read/write - writes will always have at least one input, but all types can have parameters (e.g., for csv literals of delimiter, header, etc).DnnOp FunctionOp This FunctionOp represents the call to a DML-bodied or external function.Hop IndexingOp LeftIndexingOp LiteralOp MemoTable Memoization Table (hop id, worst-case matrix characteristics).MultiThreadedHop Optional hop interface, to be implemented by multi-threaded hops.NaryOp The NaryOp Hop allows for a variable number of operands.OptimizerUtils ParameterizedBuiltinOp Defines the HOP for calling an internal function (with custom parameters) from a DML script.QuaternaryOp Note: this hop should be called AggQuaternaryOp in consistency with AggUnaryOp and AggBinaryOp; however, since there does not exist a real QuaternaryOp yet - we can leave it as is for now.ReorgOp Reorg (cell) operation: aij Properties: Symbol: ', rdiag, rshape, rsort 1 Operand (except sort and reshape take additional arguments) Semantic: change indices (in mapper or reducer) NOTE MB: reshape integrated here because (1) ParameterizedBuiltinOp requires name-value pairs for params and (2) most importantly semantic of reshape is exactly a reorg op.TernaryOp Primary use cases for now, arequantile (<n-1-matrix>, <n-1-matrix>, <literal>): quantile (A, w, 0.5)
quantile (<n-1-matrix>, <n-1-matrix>, <scalar>): quantile (A, w, s)
interquantile (<n-1-matrix>, <n-1-matrix>, <scalar>): interquantile (A, w, s)
Keep in mind, that we also have binaries for it w/o weights.UnaryOp -
Enum Summary Enum Description AggBinaryOp.MMultMethod AggBinaryOp.SparkAggType BinaryOp.AppendMethod BinaryOp.MMBinaryMethod FunctionOp.FunctionType LeftIndexingOp.LeftIndexingMethod OptimizerUtils.MemoryManager Memory managers (static partitioned, unified)OptimizerUtils.OptimizationLevel Optimization Types for Compilation O0 STATIC - Decisions for scheduling operations on CP/MR are based on predefined set of rules, which check if the dimensions are below a fixed/static threshold (OLD Method of choosing between CP and MR). -
Exception Summary Exception Description HopsException Exception occurring in the HOP level.