AggBinaryOp |
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AggUnaryOp |
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BinaryOp |
Binary (cell operations): aij + bij
Properties:
Symbol: *, -, +, ...
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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.
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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).
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DnnOp |
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FunctionOp |
This FunctionOp represents the call to a DML-bodied or external function.
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Hop |
Hop is a High level operator, that is the first intermediate representation compiled from the definitions supplied in
DML.
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IndexingOp |
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LeftIndexingOp |
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LiteralOp |
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MemoTable |
Memoization Table (hop id, worst-case matrix characteristics).
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MultiThreadedHop |
Optional hop interface, to be implemented by multi-threaded hops.
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NaryOp |
The NaryOp Hop allows for a variable number of operands.
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OptimizerUtils |
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ParameterizedBuiltinOp |
Defines the HOP for calling an internal function (with custom parameters) from a DML script.
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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.
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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.
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TernaryOp |
Primary use cases for now, are
quantile (<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.
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UnaryOp |
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