gpu

Type Members

trait CachedTensor extends NonInlineTensor

Definition Classes
Tensors
type CommandQueue = OpenCL.CommandQueue[gpu.this.type]

Attributes
protected
Definition Classes
OpenCL
trait CompiledKernel extends MonadicCloseable[UnitContinuation]

Attributes
protected
Definition Classes
Tensors
type DeviceBuffer[Element] = OpenCL.DeviceBuffer[gpu.this.type, Element]

Attributes
protected
Definition Classes
OpenCL
type DeviceId = OpenCL.DeviceId[gpu.this.type]

Attributes
protected
Definition Classes
OpenCL
type Event = OpenCL.Event[gpu.this.type]

Attributes
protected
Definition Classes
OpenCL
final case class EventBuffer[JvmType](buffer: Tensors.DeviceBuffer[JvmType], event: Tensors.Event) extends PendingBuffer[JvmType] with Product with Serializable

Attributes
protected
Definition Classes
Tensors
Annotations
@silent()
trait FillTensor extends InlineTensor

Definition Classes
Tensors
trait InlineTensor extends Tensor

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
type Kernel = OpenCL.Kernel[gpu.this.type]

Attributes
protected
Definition Classes
OpenCL
trait MonoidPrograms extends AnyRef

Attributes
protected
Definition Classes
Tensors
trait NonInlineTensor extends Tensor

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
sealed trait PendingBuffer[JvmType] extends AnyRef

Attributes
protected
Definition Classes
Tensors
type PlatformId = OpenCL.PlatformId[gpu.this.type]

Attributes
protected
Definition Classes
OpenCL
type Program = OpenCL.Program[gpu.this.type]

Attributes
protected
Definition Classes
OpenCL
final case class ReadyBuffer[JvmType](buffer: Tensors.DeviceBuffer[JvmType]) extends PendingBuffer[JvmType] with Product with Serializable

Attributes
protected
Definition Classes
Tensors
Annotations
@silent()
sealed trait Tensor extends AnyRef
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.
trait TransformedTensor extends InlineTensor

Definition Classes
Tensors

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
object PlusPrograms extends MonoidPrograms

Attributes
protected
Definition Classes
Tensors
object Tensor

Definition Classes
Tensors
lazy val acquireCommandQueue: Do[CommandQueue]

Attributes
protected
Definition Classes
CommandQueuePool → OpenCL
def allocateBuffer[Element](size: Long)(implicit memory: Memory[Element]): Do[DeviceBuffer[Element]]

Returns an uninitialized buffer of Element on device.
Returns an uninitialized buffer of Element on device.

Attributes
protected
Definition Classes
OpenCL
def allocateBufferFrom[Element, HostBuffer](hostBuffer: HostBuffer)(implicit memory: Aux[Element, HostBuffer]): Do[DeviceBuffer[Element]]

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
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
lazy val context: Long

Attributes
protected
Definition Classes
OpenCL
def createCommandQueue(deviceId: DeviceId, properties: Map[Int, Long]): CommandQueue

Attributes
protected
Definition Classes
OpenCL
def createKernel(program: Program): Kernel

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

Attributes
protected
Definition Classes
SynchronizedCreatingKernel → OpenCL
def createProgramWithSource(sourceCode: TraversableOnce[CharSequence]): Program

Attributes
protected
Definition Classes
OpenCL
def defaultProgramOptions: CharSequence

Attributes
protected
Definition Classes
UnsafeMathOptimizations → OpenCL
lazy val deviceCapabilities: (DeviceId) ⇒ CLCapabilities

Attributes
protected
Definition Classes
OpenCL
lazy val deviceIds: Seq[DeviceId]

Attributes
protected
Definition Classes
UseAllDevicesByType → OpenCL
val deviceType: Status

Attributes
protected
Definition Classes
UseAllGpuDevices → UseAllDevicesByType
def dispatch(command: (CommandQueue) ⇒ Do[Event]): Do[Event]

Attributes
protected
Definition Classes
OpenCL
def enqueueReadBuffer[Element, Destination](commandQueue: CommandQueue, deviceBuffer: DeviceBuffer[Element], hostBuffer: Destination, preconditionEvents: Event*)(implicit memory: Aux[Element, Destination]): Do[Event]

Attributes
protected
Definition Classes
DontReleaseEventTooEarly → OpenCL
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
val executionContext: ExecutionContextExecutor

Attributes
protected
Definition Classes
GlobalExecutionContext
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def handleOpenCLNotification(errorInfo: String, privateInfoOption: Option[ByteBuffer]): Unit

Attributes
protected
Definition Classes
LogContextNotification → OpenCL
def hashCode(): Int

Definition Classes
AnyRef → Any
def hashSourceCode: Fastring

Attributes
protected
Definition Classes
WangHashingRandomNumberGenerator → Tensors
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
val kernelCache: Cache[(trees)#ValueTerm, CompiledKernel]

Attributes
protected[com.thoughtworks.compute]
Definition Classes
Tensors
def kernelCacheBuilder: CacheBuilder[(trees)#ValueTerm, CompiledKernel]

Attributes
protected
Definition Classes
Tensors
val logger: Logger

Attributes
protected
Definition Classes
StrictLogging
def monadicClose: UnitContinuation[Unit]

Definition Classes
Tensors → OpenCL → DefaultCloseable → MonadicCloseable
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val numberOfCommandQueuesPerDevice: Int

Attributes
protected
Definition Classes
gpu → CommandQueuePool
lazy val platformCapabilities: CLCapabilities

Attributes
protected
Definition Classes
OpenCL
lazy val platformId: PlatformId

Attributes
protected
Definition Classes
UseAllDevicesByType → OpenCL
def platformIds: Seq[PlatformId]

Attributes
protected
Definition Classes
OpenCL
def releaseContext: UnitContinuation[Unit]

Attributes
protected
Definition Classes
OpenCL
lazy val shutdownCommandQueues: UnitContinuation[Unit]

Attributes
protected
Definition Classes
CommandQueuePool
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
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 }

Attributes
protected
Definition Classes
Tensors
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
def waitForStatus(event: Event, callbackType: Status): UnitContinuation[Status]

Attributes
protected
Definition Classes
HandleEventInExecutionContextForIntelAndAMDPlatform → OpenCL

Related Doc: package compute

Type Members

trait CachedTensor extends NonInlineTensor

type CommandQueue = OpenCL.CommandQueue[gpu.this.type]

trait CompiledKernel extends MonadicCloseable[UnitContinuation]

type DeviceBuffer[Element] = OpenCL.DeviceBuffer[gpu.this.type, Element]

type DeviceId = OpenCL.DeviceId[gpu.this.type]

type Event = OpenCL.Event[gpu.this.type]

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

trait FillTensor extends InlineTensor

trait InlineTensor extends Tensor

type Kernel = OpenCL.Kernel[gpu.this.type]

trait MonoidPrograms extends AnyRef

trait NonInlineTensor extends Tensor

sealed trait PendingBuffer[JvmType] extends AnyRef

type PlatformId = OpenCL.PlatformId[gpu.this.type]

type Program = OpenCL.Program[gpu.this.type]

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

sealed trait Tensor extends AnyRef

trait TransformedTensor extends InlineTensor

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

object PlusPrograms extends MonoidPrograms

object Tensor

lazy val acquireCommandQueue: Do[CommandQueue]

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

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

final def asInstanceOf[T0]: T0

def clone(): AnyRef

lazy val context: Long

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

def createKernel(program: Program): Kernel

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

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

def defaultProgramOptions: CharSequence

lazy val deviceCapabilities: (DeviceId) ⇒ CLCapabilities

lazy val deviceIds: Seq[DeviceId]

val deviceType: Status

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

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

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

val executionContext: ExecutionContextExecutor

def finalize(): Unit

final def getClass(): Class[_]

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

def hashCode(): Int

def hashSourceCode: Fastring

final def isInstanceOf[T0]: Boolean

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

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

val logger: Logger

def monadicClose: UnitContinuation[Unit]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val numberOfCommandQueuesPerDevice: Int

lazy val platformCapabilities: CLCapabilities

lazy val platformId: PlatformId

def platformIds: Seq[PlatformId]

def releaseContext: UnitContinuation[Unit]

lazy val shutdownCommandQueues: UnitContinuation[Unit]

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

def toString(): String

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 }

final def wait(): Unit

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

final def wait(arg0: Long): Unit

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

Inherited from WangHashingRandomNumberGenerator

Inherited from Tensors

Inherited from HandleEventInExecutionContextForIntelAndAMDPlatform

Inherited from SynchronizedCreatingKernel

Inherited from DontReleaseEventTooEarly

Inherited from UseAllGpuDevices

Inherited from UseAllDevicesByType

Inherited from CommandQueuePool