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c

com.linkedin.feathr.common.tensor.dense

ByteBufferDenseTensor

abstract class ByteBufferDenseTensor extends DenseTensor

Base class for dense int/float/double/long/boolean/string/byte[] tensors backed by a ByteBuffer using TensorFlow-compatible layout.

Linear Supertypes
DenseTensor, TensorData, AnyRef, Any
Ordering
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Inherited
  1. ByteBufferDenseTensor
  2. DenseTensor
  3. TensorData
  4. AnyRef
  5. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ByteBufferDenseTensor(byteBuffer: ByteBuffer, shape: Array[Long], type: Primitive, bytes: Int)

Abstract Value Members

  1. abstract def asList(): List[_]

    returns

    the list of values in their unraveled order. This in combination with the shape is enough to restore the entire tensor, as the dimensions can be calculated from the shape.

    Definition Classes
    DenseTensor
  2. abstract def iterator(): TensorIterator

    returns

    an iterator over entries in the mapping from dimensions to the value.

    Definition Classes
    TensorData

Concrete 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. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def cardinality(): Int

    returns

    exact number of entries in the mapping from dimensions to values.

    Definition Classes
    ByteBufferDenseTensor → TensorData
    Annotations
    @Override()
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  7. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  8. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  9. def estimatedCardinality(): Int

    returns

    conservative estimate of number of entries in the mapping from dimensions to values. Can be cheaper to evaluate than the exact one.

    Definition Classes
    ByteBufferDenseTensor → TensorData
    Annotations
    @Override()
  10. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  11. def getArity(): Int

    returns

    the arity, which is the total number of columns. As columns are dimensions plus a value, arity is by one greater than dimensionality.

    Definition Classes
    TensorData
  12. def getByteBuffer(makeCopy: Boolean): ByteBuffer
  13. def getByteBuffer(): ByteBuffer
  14. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. def getShape(): Array[Long]

    returns

    the current shape of the data or the supplied shape of the data

    Definition Classes
    ByteBufferDenseTensor → TensorData
    Annotations
    @Override()
  16. def getTypes(): Array[Representable]

    returns

    the types of all dimensions and the value as a single array.

    Definition Classes
    ByteBufferDenseTensor → TensorData
    Annotations
    @Override()
  17. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  18. def isEmpty(): Boolean
    Definition Classes
    TensorData
  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. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  24. def toString(): String
    Definition Classes
    AnyRef → Any
  25. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from DenseTensor

Inherited from TensorData

Inherited from AnyRef

Inherited from Any

Ungrouped