Packages

c

com.intel.analytics.bigdl.parameters

FP16SplitsCompressedTensor

class FP16SplitsCompressedTensor[T] extends CompressedTensor[T]

Linear Supertypes
CompressedTensor[T], Serializable, Serializable, AnyRef, Any
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Inherited
  1. FP16SplitsCompressedTensor
  2. CompressedTensor
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new FP16SplitsCompressedTensor(length: Int, splitsNum: Int)(implicit arg0: ClassTag[T])
  2. new FP16SplitsCompressedTensor(tensor: Tensor[T], splitsNum: Int)(implicit arg0: ClassTag[T])
  3. new FP16SplitsCompressedTensor(buffers: Array[Array[Byte]], size: Int)(implicit arg0: ClassTag[T])

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def add(data: ByteBuffer): FP16SplitsCompressedTensor.this.type
    Definition Classes
    FP16SplitsCompressedTensor → CompressedTensor
  5. def add(data: ByteBuffer, offset: Int, length: Int): FP16SplitsCompressedTensor.this.type
    Definition Classes
    FP16SplitsCompressedTensor → CompressedTensor
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. def bytes(): ByteBuffer
    Definition Classes
    FP16SplitsCompressedTensor → CompressedTensor
  8. def bytes(offset: Int, length: Int): ByteBuffer
    Definition Classes
    FP16SplitsCompressedTensor → CompressedTensor
  9. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  10. def compress(tensor: Tensor[T]): FP16SplitsCompressedTensor.this.type
    Definition Classes
    FP16SplitsCompressedTensor → CompressedTensor
  11. def compress(offset: Int, src: Tensor[T], srcOffset: Int, length: Int): FP16SplitsCompressedTensor.this.type
    Definition Classes
    FP16SplitsCompressedTensor → CompressedTensor
  12. def deCompress(tensor: Tensor[T]): Unit
    Definition Classes
    FP16SplitsCompressedTensor → CompressedTensor
  13. def deCompress(srcOffset: Int, tensor: Tensor[T], tgtOffset: Int, length: Int): Unit
    Definition Classes
    FP16SplitsCompressedTensor → CompressedTensor
  14. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  16. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  17. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  18. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  19. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  20. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  21. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  22. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  23. def parAdd(data: ByteBuffer): FP16SplitsCompressedTensor.this.type
    Definition Classes
    FP16SplitsCompressedTensor → CompressedTensor
  24. def parAdd(data: ByteBuffer, offset: Int, length: Int): FP16SplitsCompressedTensor.this.type
    Definition Classes
    FP16SplitsCompressedTensor → CompressedTensor
  25. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  26. def toString(): String
    Definition Classes
    AnyRef → Any
  27. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  28. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  29. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )

Inherited from CompressedTensor[T]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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