Object

com.thoughtworks.compute

cpu

Related Doc: package compute

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object cpu extends StrictLogging with UnsafeMathOptimizations with LogContextNotification with GlobalExecutionContext with CommandQueuePool with UseAllCpuDevices with DontReleaseEventTooEarly with SynchronizedCreatingKernel with HandleEventInExecutionContextForIntelAndAMDPlatform with WangHashingRandomNumberGenerator

Contains N-dimensional array types on CPU.

You may want to import Tensor, which is the base type of N-dimensional arrays:

import com.thoughtworks.compute.cpu.Tensor
Source
cpu.scala
Examples:

  1. A Tensor of scalar value can be broadcast to N-dimensional arrays.

    val s = Tensor.scalar(42.0f)
val b = s.broadcast(Array(2, 3))
b.toString should be("[[42.0,42.0,42.0],[42.0,42.0,42.0]]")
    2. ,

  2. Multiple Tensors of the same shape can be merged into a larger Tensor via the Tensor.join function. Given a Seq of three 2x2 Tensors,

    val mySubtensors: Seq[Tensor] = Seq(
  Tensor(Seq(Seq(1.0f, 2.0f), Seq(3.0f, 4.0f))),
  Tensor(Seq(Seq(5.0f, 6.0f), Seq(7.0f, 8.0f))),
  Tensor(Seq(Seq(9.0f, 10.0f), Seq(11.0f, 12.0f))),
)

    when joining them,

    val merged: Tensor = Tensor.join(mySubtensors)

    then the result should be a 2x2x3 Tensor.

    merged.toString should be("[[[1.0,5.0,9.0],[2.0,6.0,10.0]],[[3.0,7.0,11.0],[4.0,8.0,12.0]]]")
merged.shape should be(Array(2, 2, 3))
    3. ,

  3. A Tensor can be split into small Tensors on the direction of a specific dimension. Given a 3D tensor whose shape is 2x3x4,

    val my3DTensor = Tensor((0.0f until 24.0f by 1.0f).grouped(4).toSeq.grouped(3).toSeq)
my3DTensor.shape should be(Array(2, 3, 4))

    when split it at the dimension #0,

    val subtensors0 = my3DTensor.split(dimension = 0)

    then the result should be a Seq of two 3x4 tensors.

    subtensors0.toString should be("TensorSeq([[0.0,1.0,2.0,3.0],[4.0,5.0,6.0,7.0],[8.0,9.0,10.0,11.0]], [[12.0,13.0,14.0,15.0],[16.0,17.0,18.0,19.0],[20.0,21.0,22.0,23.0]])")
inside(subtensors0) {
  case Seq(subtensor0, subtensor1) =>
    subtensor0.shape should be(Array(3, 4))
    subtensor1.shape should be(Array(3, 4))
}

    When split it at the dimension #1,

    val subtensors1 = my3DTensor.split(dimension = 1)

    then the result should be a Seq of three 2x4 tensors.

    subtensors1.toString should be("TensorSeq([[0.0,1.0,2.0,3.0],[12.0,13.0,14.0,15.0]], [[4.0,5.0,6.0,7.0],[16.0,17.0,18.0,19.0]], [[8.0,9.0,10.0,11.0],[20.0,21.0,22.0,23.0]])")
inside(subtensors1) {
  case Seq(subtensor0, subtensor1, subtensor2) =>
    subtensor0.shape should be(Array(2, 4))
    subtensor1.shape should be(Array(2, 4))
    subtensor2.shape should be(Array(2, 4))
}
    4. ,

  4. In Compute.scala, an N-dimensional array is typed as Tensor, which can be created from scala.collection.Seq or scala.Array.

    val my2DArray: Tensor = Tensor(Array(Seq(1.0f, 2.0f), Seq(3.0f, 4.0f)))
my2DArray.toString should be("[[1.0,2.0],[3.0,4.0]]")
Linear Supertypes
WangHashingRandomNumberGenerator, HandleEventInExecutionContextForIntelAndAMDPlatform, SynchronizedCreatingKernel, DontReleaseEventTooEarly, UseAllCpuDevices, UseAllDevicesByType, CommandQueuePool, GlobalExecutionContext, LogContextNotification, UnsafeMathOptimizations, Tensors, OpenCL, DefaultCloseable, MonadicCloseable[UnitContinuation], StrictLogging, AnyRef, Any
Content Hierarchy
NonInlineTensorCachedTensorTransformedTensorInlineTensorFillTensorTensorMonoidProgramsPlusProgramsEventBuffer[JvmType]ReadyBuffer[JvmType]PendingBuffer[JvmType]
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Inherited
  1. cpu
  2. WangHashingRandomNumberGenerator
  3. HandleEventInExecutionContextForIntelAndAMDPlatform
  4. SynchronizedCreatingKernel
  5. DontReleaseEventTooEarly
  6. UseAllCpuDevices
  7. UseAllDevicesByType
  8. CommandQueuePool
  9. GlobalExecutionContext
  10. LogContextNotification
  11. UnsafeMathOptimizations
  12. Tensors
  13. OpenCL
  14. DefaultCloseable
  15. MonadicCloseable
  16. StrictLogging
  17. AnyRef
  18. Any
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Visibility
  1. Public
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Type Members

  1. trait CachedTensor extends NonInlineTensor

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    Definition Classes
    Tensors

  2. type CommandQueue = OpenCL.CommandQueue[cpu.this.type]

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    Attributes
    protected
    Definition Classes
    OpenCL

  3. trait CompiledKernel extends MonadicCloseable[UnitContinuation]

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    Attributes
    protected
    Definition Classes
    Tensors

  4. type DeviceBuffer[Element] = OpenCL.DeviceBuffer[cpu.this.type, Element]

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    Attributes
    protected
    Definition Classes
    OpenCL

  5. type DeviceId = OpenCL.DeviceId[cpu.this.type]

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    Attributes
    protected
    Definition Classes
    OpenCL

  6. type Event = OpenCL.Event[cpu.this.type]

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    Attributes
    protected
    Definition Classes
    OpenCL

  7. final case class EventBuffer[JvmType](buffer: Tensors.DeviceBuffer[JvmType], event: Tensors.Event) extends PendingBuffer[JvmType] with Product with Serializable

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    Attributes
    protected
    Definition Classes
    Tensors
    Annotations
    @silent()

  8. trait FillTensor extends InlineTensor

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    Definition Classes
    Tensors

  9. trait InlineTensor extends Tensor

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    An intermediate expression of tensor that can be composed into a more complex expression.

    An intermediate expression of tensor that can be composed into a more complex expression.

    Definition Classes
    Tensors

  10. type Kernel = OpenCL.Kernel[cpu.this.type]

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    Attributes
    protected
    Definition Classes
    OpenCL

  11. trait MonoidPrograms extends AnyRef

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    Attributes
    protected
    Definition Classes
    Tensors

  12. trait NonInlineTensor extends Tensor

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    A Tensor that is associated with a non-inline kernel program (i.e.

    A Tensor that is associated with a non-inline kernel program (i.e. never merged into a larger kernel).

    Definition Classes
    Tensors

  13. sealed trait PendingBuffer[JvmType] extends AnyRef

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    Attributes
    protected
    Definition Classes
    Tensors

  14. type PlatformId = OpenCL.PlatformId[cpu.this.type]

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    Attributes
    protected
    Definition Classes
    OpenCL

  15. type Program = OpenCL.Program[cpu.this.type]

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    Attributes
    protected
    Definition Classes
    OpenCL

  16. final case class ReadyBuffer[JvmType](buffer: Tensors.DeviceBuffer[JvmType]) extends PendingBuffer[JvmType] with Product with Serializable

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    Attributes
    protected
    Definition Classes
    Tensors
    Annotations
    @silent()

  17. sealed trait Tensor extends AnyRef

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    Definition Classes
    Tensors
    Note

    There are three kinds of Tensor.

    • InlineTensor and TransformedTensor are like a @inline def, which can be merged into a larger kernel and will be recalculated whenever a slow action is performed.
    • NonInlineTensor is like a @noinline def, which is never merged into a larger kernel and will be recalculated whenever a slow action is performed.
    • CachedTensor is like a lazy val, which has an associated data buffer on the compute device and will be calculated only once even when slow actions are performed more than once.

  18. trait TransformedTensor extends InlineTensor

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    Definition Classes
    Tensors

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  4. object PlusPrograms extends MonoidPrograms

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    Attributes
    protected
    Definition Classes
    Tensors

  5. object Tensor

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    Definition Classes
    Tensors

  6. lazy val acquireCommandQueue: Do[CommandQueue]

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    Attributes
    protected
    Definition Classes
    CommandQueuePool → OpenCL

  7. def allocateBuffer[Element](size: Long)(implicit memory: Memory[Element]): Do[DeviceBuffer[Element]]

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    Returns an uninitialized buffer of Element on device.

    Returns an uninitialized buffer of Element on device.

    Attributes
    protected
    Definition Classes
    OpenCL

  8. def allocateBufferFrom[Element, HostBuffer](hostBuffer: HostBuffer)(implicit memory: Aux[Element, HostBuffer]): Do[DeviceBuffer[Element]]

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    Returns a buffer of Element on device whose content is copied from hostBuffer.

    Returns a buffer of Element on device whose content is copied from hostBuffer.

    Attributes
    protected
    Definition Classes
    OpenCL

  9. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  10. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  11. lazy val context: Long

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    Attributes
    protected
    Definition Classes
    OpenCL

  12. def createCommandQueue(deviceId: DeviceId, properties: Map[Int, Long]): CommandQueue

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    Attributes
    protected
    Definition Classes
    OpenCL

  13. def createKernel(program: Program): Kernel

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    Creates single kernel from this Program.

    Creates single kernel from this Program.

    Attributes
    protected
    Definition Classes
    SynchronizedCreatingKernel → OpenCL
    Exceptions thrown

    com.thoughtworks.compute.OpenCL.Exceptions.InvalidValue if the this Program has more than one kernel.

  14. def createKernels(program: Program): Seq[Kernel]

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    Attributes
    protected
    Definition Classes
    SynchronizedCreatingKernel → OpenCL

  15. def createProgramWithSource(sourceCode: TraversableOnce[CharSequence]): Program

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    Attributes
    protected
    Definition Classes
    OpenCL

  16. lazy val deviceCapabilities: (DeviceId) ⇒ CLCapabilities

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    Attributes
    protected
    Definition Classes
    OpenCL

  17. lazy val deviceIds: Seq[DeviceId]

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    Attributes
    protected
    Definition Classes
    UseAllDevicesByType → OpenCL

  18. val deviceType: Status

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    Attributes
    protected
    Definition Classes
    UseAllCpuDevices → UseAllDevicesByType

  19. def dispatch(command: (CommandQueue) ⇒ Do[Event]): Do[Event]

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    Attributes
    protected
    Definition Classes
    OpenCL

  20. def enqueueReadBuffer[Element, Destination](commandQueue: CommandQueue, deviceBuffer: DeviceBuffer[Element], hostBuffer: Destination, preconditionEvents: Event*)(implicit memory: Aux[Element, Destination]): Do[Event]

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    Attributes
    protected
    Definition Classes
    DontReleaseEventTooEarly → OpenCL

  21. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  22. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  23. val executionContext: ExecutionContextExecutor

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    Attributes
    protected
    Definition Classes
    GlobalExecutionContext

  24. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  25. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  26. def handleOpenCLNotification(errorInfo: String, privateInfoOption: Option[ByteBuffer]): Unit

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    Attributes
    protected
    Definition Classes
    LogContextNotification → OpenCL

  27. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  28. def hashSourceCode: Fastring

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    Attributes
    protected
    Definition Classes
    WangHashingRandomNumberGenerator → Tensors

  29. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  30. val kernelCache: Cache[(trees)#ValueTerm, CompiledKernel]

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    Attributes
    protected[com.thoughtworks.compute]
    Definition Classes
    Tensors

  31. def kernelCacheBuilder: CacheBuilder[(trees)#ValueTerm, CompiledKernel]

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    Attributes
    protected
    Definition Classes
    Tensors

  32. val logger: Logger

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    Attributes
    protected
    Definition Classes
    StrictLogging

  33. def monadicClose: UnitContinuation[Unit]

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    Definition Classes
    DontReleaseEventTooEarly → OpenCL → DefaultCloseable → MonadicCloseable

  34. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  35. final def notify(): Unit

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    Definition Classes
    AnyRef

  36. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  37. val numberOfCommandQueuesPerDevice: Int

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    Attributes
    protected
    Definition Classes
    cpu → CommandQueuePool

  38. def openclCompilerFlags: String

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    Attributes
    protected
    Definition Classes
    UnsafeMathOptimizations → Tensors

  39. lazy val platformCapabilities: CLCapabilities

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    Attributes
    protected
    Definition Classes
    OpenCL

  40. lazy val platformId: PlatformId

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    Attributes
    protected
    Definition Classes
    UseAllDevicesByType → OpenCL

  41. def platformIds: Seq[PlatformId]

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    Attributes
    protected
    Definition Classes
    OpenCL

  42. def releaseContext: UnitContinuation[Unit]

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    Attributes
    protected
    Definition Classes
    OpenCL

  43. lazy val shutdownCommandQueues: UnitContinuation[Unit]

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    Attributes
    protected
    Definition Classes
    CommandQueuePool

  44. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  45. def toString(): String

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    Definition Classes
    AnyRef → Any

  46. val trees: AllTrees with MemoryTrees with StructuralTrees { type Category = com.thoughtworks.compute.Expressions.Tuples with com.thoughtworks.compute.Expressions.Floats with com.thoughtworks.compute.Expressions.Arrays }

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    Attributes
    protected
    Definition Classes
    Tensors

  47. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  48. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  49. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  50. def waitForStatus(event: Event, callbackType: Status): UnitContinuation[Status]

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    Attributes
    protected
    Definition Classes
    HandleEventInExecutionContextForIntelAndAMDPlatform → OpenCL

Inherited from WangHashingRandomNumberGenerator

Inherited from HandleEventInExecutionContextForIntelAndAMDPlatform

Inherited from SynchronizedCreatingKernel

Inherited from DontReleaseEventTooEarly

Inherited from UseAllCpuDevices

Inherited from UseAllDevicesByType

Inherited from CommandQueuePool

Inherited from GlobalExecutionContext

Inherited from LogContextNotification

Inherited from UnsafeMathOptimizations

Inherited from Tensors

Inherited from OpenCL

Inherited from DefaultCloseable

Inherited from MonadicCloseable[UnitContinuation]

Inherited from StrictLogging

Inherited from AnyRef

Inherited from Any

Ungrouped