com.intel.analytics.bigdl.nn.mkldnn

MklDnnModule

trait MklDnnModule extends MklDnnModuleHelper

Helper utilities when integrating Module with MKL-DNN

Linear Supertypes
MklDnnModuleHelper, AnyRef, Any
Known Subclasses
AvgPooling, CAddTable, ConcatTable, Identity, Input, JoinTable, LRN, Linear, MaxPooling, MklDnnContainer, MklDnnLayer, ReLU, ReorderMemory, SelectTable, Sequential, SoftMax, SpatialBatchNormalization, SpatialConvolution
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  1. final def !=(arg0: AnyRef): Boolean

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  3. final def ##(): Int

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  7. def clone(): AnyRef

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

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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

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  12. def hashCode(): Int

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  13. def initActivity(formats: Array[MemoryData]): Activity

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    MklDnnModuleHelper

  14. def initTensor(format: MemoryData): Tensor[Float]

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    MklDnnModuleHelper

  15. final def isInstanceOf[T0]: Boolean

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  16. def nativeData(formats: Array[MemoryData]): Array[MemoryData]

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    MklDnnModuleHelper

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. var runtime: MklDnnRuntime

    MklDnn runtime, which includes a MKL-DNN engine and a MKL-DNN stream.

    MklDnn runtime, which includes a MKL-DNN engine and a MKL-DNN stream. Note that this instance will be erased when send to remote worker, so you should recreate a MklDnnRuntime.

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    protected

  21. def setRuntime(runtime: MklDnnRuntime): Unit

  22. def singleNativeData(formats: Array[MemoryData]): Array[MemoryData]

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    Definition Classes
    MklDnnModuleHelper

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

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  24. def toString(): String

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  25. final def wait(): Unit

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

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

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