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com.nvidia.spark.rapids

GpuBindReferences

object GpuBindReferences extends Logging

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  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. final def asInstanceOf[T0]: T0
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  5. def bindGpuReference[A <: Expression](expression: A, input: AttributeSeq): GpuExpression
  6. def bindGpuReferences[A <: Expression](expressions: Seq[A], input: AttributeSeq): Seq[GpuExpression]

    A helper function to bind given expressions to an input schema where the expressions are to be processed on the GPU, and the result type indicates this.

  7. def bindGpuReferencesTiered[A <: Expression](expressions: Seq[A], input: AttributeSeq, conf: SQLConf): GpuTieredProject

    A helper function to bind given expressions to an input schema where the expressions are to be processed on the GPU, and the result type indicates this.

    A helper function to bind given expressions to an input schema where the expressions are to be processed on the GPU, and the result type indicates this. Some expressions that can be combined into a single expression call as well as common sub-expressions may be factored out where possible to reduce the runtime and memory. All of these can be controlled by the configuration passed in.

  8. def bindRefInternal[A <: Expression, R <: Expression](expression: A, input: AttributeSeq, partial: PartialFunction[Expression, Expression] = PartialFunction.empty): R
  9. def bindReference[A <: Expression](expression: A, input: AttributeSeq): A
  10. def bindReferences[A <: Expression](expressions: Seq[A], input: AttributeSeq): Seq[A]

    A helper function to bind given expressions to an input schema where the expressions are to be processed on the GPU.

    A helper function to bind given expressions to an input schema where the expressions are to be processed on the GPU. Most of the time bindGpuReferences should be used, unless you know that the return type is SortOrder or is a comment trait like Attribute.

  11. def clone(): AnyRef
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  12. final def eq(arg0: AnyRef): Boolean
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  13. def equals(arg0: Any): Boolean
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  14. def finalize(): Unit
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  15. final def getClass(): Class[_]
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  16. def hashCode(): Int
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  17. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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  18. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
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  19. final def isInstanceOf[T0]: Boolean
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  20. def isTraceEnabled(): Boolean
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  21. def log: Logger
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  22. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
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  23. def logDebug(msg: ⇒ String): Unit
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  24. def logError(msg: ⇒ String, throwable: Throwable): Unit
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  25. def logError(msg: ⇒ String): Unit
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  26. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
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  27. def logInfo(msg: ⇒ String): Unit
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  28. def logName: String
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  29. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
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  30. def logTrace(msg: ⇒ String): Unit
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  31. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
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  32. def logWarning(msg: ⇒ String): Unit
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  33. final def ne(arg0: AnyRef): Boolean
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  34. final def notify(): Unit
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  35. final def notifyAll(): Unit
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  36. final def synchronized[T0](arg0: ⇒ T0): T0
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  37. def toString(): String
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  38. def transformNoRecursionOnReplacement(exp: Expression)(rule: PartialFunction[Expression, Expression]): Expression

    An alternative to Expression.transformDown, but when a result is returned by rule it is assumed that it handled processing exp and all of its children, so rule will not be called on the children of that result recursively.

  39. final def wait(): Unit
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  40. final def wait(arg0: Long, arg1: Int): Unit
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  41. final def wait(arg0: Long): Unit
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