org.apache.sysds.runtime.controlprogram.paramserv

## Class ParamservUtils

- java.lang.Object
- - org.apache.sysds.runtime.controlprogram.paramserv.ParamservUtils

-     public class ParamservUtils
      extends Object

- - ### Field Summary

    Fields
    Modifier and Type | Field and Description
    --- | ---
    `static String` | `PS_FUNC_PREFIX`
    `static long` | `SEED`

  - ### Constructor Summary

    Constructors
    Constructor and Description
    `ParamservUtils()`

  - ### Method Summary

    All Methods Static Methods Concrete Methods
    Modifier and Type | Method and Description
    --- | ---
    `static ListObject` | `accrueGradients(ListObject accGradients, ListObject gradients, boolean cleanup)` Accumulate the given gradients into the accrued gradients
    `static ListObject` | `accrueGradients(ListObject accGradients, ListObject gradients, boolean par, boolean cleanup)` Accumulate the given gradients into the accrued gradients
    `static org.apache.spark.api.java.JavaPairRDD<Long,scala.Tuple2<MatrixBlock,MatrixBlock>>` | `assembleTrainingData(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> featuresRDD, org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> labelsRDD)` Assemble the matrix of features and labels according to the rowID
    `static MatrixBlock` | `cbindMatrix(MatrixBlock left, MatrixBlock right)`
    `static void` | `cleanupData(ExecutionContext ec, Data data)`
    `static void` | `cleanupData(ExecutionContext ec, String varName)`
    `static void` | `cleanupListObject(ExecutionContext ec, ListObject lo)`
    `static void` | `cleanupListObject(ExecutionContext ec, ListObject lo, boolean[] status)`
    `static void` | `cleanupListObject(ExecutionContext ec, String lName)` Clean up the list object according to its own data status
    `static void` | `cleanupListObject(ExecutionContext ec, String lName, boolean[] status)` Clean up the list object according to the given array of data status (i.e., false => not be removed)
    `static void` | `cleanupListObject(ListObject lo)`
    `static List<ExecutionContext>` | `copyExecutionContext(ExecutionContext ec, int num)`
    `static ListObject` | `copyList(ListObject lo, boolean cleanup)` Deep copy the list object
    `static ExecutionContext` | `createExecutionContext(ExecutionContext ec, LocalVariableMap varsMap, String updFunc, String aggFunc, int k)`
    `static MatrixObject` | `createShallowCopy(MatrixObject mo)`
    `static org.apache.spark.api.java.JavaPairRDD<Integer,scala.Tuple2<MatrixBlock,MatrixBlock>>` | `doPartitionOnSpark(SparkExecutionContext sec, MatrixObject features, MatrixObject labels, Statement.PSScheme scheme, int workerNum)`
    `static MatrixBlock` | `generatePermutation(int numEntries, long seed)` Generate the permutation
    `static MatrixObject` | `newMatrixObject(MatrixBlock mb)`
    `static MatrixObject` | `newMatrixObject(MatrixBlock mb, boolean cleanup)`
    `static void` | `recompileProgramBlocks(int k, List<ProgramBlock> pbs)`
    `static MatrixObject` | `sliceMatrix(MatrixObject mo, long rl, long rh)` Slice the matrix
    `static MatrixBlock` | `sliceMatrixBlock(MatrixBlock mb, long rl, long rh)` Slice the matrix block and return a matrix block (used in spark)

    - ### Methods inherited from class java.lang.Object

      `equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

- - ### Field Detail

    - #### PS_FUNC_PREFIX

          public static final String PS_FUNC_PREFIX

      See Also:
        Constant Field Values

    - #### SEED

          public static long SEED

  - ### Constructor Detail

    - #### ParamservUtils

          public ParamservUtils()

  - ### Method Detail

    - #### copyList

          public static ListObject copyList(ListObject lo,
                                            boolean cleanup)

      Deep copy the list object
      Parameters:
        `lo` - list object
        `cleanup` - clean up the given list object
      Returns:
        a new copied list object

    - #### cleanupListObject

          public static void cleanupListObject(ExecutionContext ec,
                                               String lName)

      Clean up the list object according to its own data status
      Parameters:
        `ec` - execution context
        `lName` - list var name

    - #### cleanupListObject

          public static void cleanupListObject(ExecutionContext ec,
                                               String lName,
                                               boolean[] status)

      Clean up the list object according to the given array of data status (i.e., false => not be removed)
      Parameters:
        `ec` - execution context
        `lName` - list var name
        `status` - data status

    - #### cleanupListObject

          public static void cleanupListObject(ExecutionContext ec,
                                               ListObject lo)

    - #### cleanupListObject

          public static void cleanupListObject(ExecutionContext ec,
                                               ListObject lo,
                                               boolean[] status)

    - #### cleanupData

          public static void cleanupData(ExecutionContext ec,
                                         Data data)

    - #### cleanupData

          public static void cleanupData(ExecutionContext ec,
                                         String varName)

    - #### cleanupListObject

          public static void cleanupListObject(ListObject lo)

    - #### newMatrixObject

          public static MatrixObject newMatrixObject(MatrixBlock mb)

    - #### newMatrixObject

          public static MatrixObject newMatrixObject(MatrixBlock mb,
                                                     boolean cleanup)

    - #### createShallowCopy

          public static MatrixObject createShallowCopy(MatrixObject mo)

    - #### sliceMatrix

          public static MatrixObject sliceMatrix(MatrixObject mo,
                                                 long rl,
                                                 long rh)

      Slice the matrix
      Parameters:
        `mo` - input matrix
        `rl` - low boundary
        `rh` - high boundary
      Returns:
        new sliced matrix

    - #### sliceMatrixBlock

          public static MatrixBlock sliceMatrixBlock(MatrixBlock mb,
                                                     long rl,
                                                     long rh)

      Slice the matrix block and return a matrix block (used in spark)
      Parameters:
        `mb` - input matrix
        `rl` - low boundary
        `rh` - high boundary
      Returns:
        new sliced matrix block

    - #### generatePermutation

          public static MatrixBlock generatePermutation(int numEntries,
                                                        long seed)

      Generate the permutation
      Parameters:
        `numEntries` - permutation size
        `seed` - seed used to generate random number
      Returns:
        permutation matrix

    - #### createExecutionContext

          public static ExecutionContext createExecutionContext(ExecutionContext ec,
                                                                LocalVariableMap varsMap,
                                                                String updFunc,
                                                                String aggFunc,
                                                                int k)

    - #### copyExecutionContext

          public static List<ExecutionContext> copyExecutionContext(ExecutionContext ec,
                                                                    int num)

    - #### recompileProgramBlocks

          public static void recompileProgramBlocks(int k,
                                                    List<ProgramBlock> pbs)

    - #### cbindMatrix

          public static MatrixBlock cbindMatrix(MatrixBlock left,
                                                MatrixBlock right)

    - #### assembleTrainingData

          public static org.apache.spark.api.java.JavaPairRDD<Long,scala.Tuple2<MatrixBlock,MatrixBlock>> assembleTrainingData(org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> featuresRDD,
                                                                                                                               org.apache.spark.api.java.JavaPairRDD<MatrixIndexes,MatrixBlock> labelsRDD)

      Assemble the matrix of features and labels according to the rowID
      Parameters:
        `featuresRDD` - indexed features matrix block
        `labelsRDD` - indexed labels matrix block
      Returns:
        Assembled rdd with rowID as key while matrix of features and labels as value (rowID -> features, labels)

    - #### doPartitionOnSpark

          public static org.apache.spark.api.java.JavaPairRDD<Integer,scala.Tuple2<MatrixBlock,MatrixBlock>> doPartitionOnSpark(SparkExecutionContext sec,
                                                                                                                                MatrixObject features,
                                                                                                                                MatrixObject labels,
                                                                                                                                Statement.PSScheme scheme,
                                                                                                                                int workerNum)

    - #### accrueGradients

          public static ListObject accrueGradients(ListObject accGradients,
                                                   ListObject gradients,
                                                   boolean cleanup)

      Accumulate the given gradients into the accrued gradients
      Parameters:
        `accGradients` - accrued gradients list object
        `gradients` - given gradients list object
        `cleanup` - clean up the given gradients list object
      Returns:
        new accrued gradients list object

    - #### accrueGradients

          public static ListObject accrueGradients(ListObject accGradients,
                                                   ListObject gradients,
                                                   boolean par,
                                                   boolean cleanup)

      Accumulate the given gradients into the accrued gradients
      Parameters:
        `accGradients` - accrued gradients list object
        `gradients` - given gradients list object
        `par` - parallel execution
        `cleanup` - clean up the given gradients list object
      Returns:
        new accrued gradients list object

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