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com.nvidia.spark.rapids

GpuSemaphore

object GpuSemaphore

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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. def acquireIfNecessary(context: TaskContext, waitMetric: GpuMetric): Unit

    Tasks must call this when they begin to use the GPU.

    Tasks must call this when they begin to use the GPU. If the task has not already acquired the GPU semaphore then it is acquired, blocking if necessary. NOTE: A task completion listener will automatically be installed to ensure the semaphore is always released by the time the task completes.

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  11. def initialize(tasksPerGpu: Int): Unit

    Initializes the GPU task semaphore.

    Initializes the GPU task semaphore.

    tasksPerGpu

    number of tasks that will be allowed to use the GPU concurrently.

  12. final def isInstanceOf[T0]: Boolean
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  13. final def ne(arg0: AnyRef): Boolean
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  14. final def notify(): Unit
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  15. final def notifyAll(): Unit
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  16. def releaseIfNecessary(context: TaskContext): Unit

    Tasks must call this when they are finished using the GPU.

  17. def shutdown(): Unit

    Uninitialize the GPU semaphore.

    Uninitialize the GPU semaphore. NOTE: This does not wait for active tasks to release!

  18. final def synchronized[T0](arg0: ⇒ T0): T0
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  19. def toString(): String
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  20. final def wait(arg0: Long, arg1: Int): Unit
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  21. final def wait(arg0: Long): Unit
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  22. final def wait(): Unit
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  1. def finalize(): Unit
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